研究者詳細 - 門田　暁人

論文 - 門田　暁人

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Task estimation for software company employees based on computer interaction logs 査読

Florian Pellegrin, Zeynep Yücel, Akito Monden, Pattara Leelaprute

Empir. Softw. Eng. 26 ( 5 ) 98 - 98 2021年9月

On the relative value of data resampling approaches for software defect prediction 査読

Kwabena Ebo Bennin, Jacky W. Keung, Akito Monden

Empirical Software Engineering 24 ( 2 ) 602 - 636 2019年4月

MAHAKIL: Diversity Based Oversampling Approach to Alleviate the Class Imbalance Issue in Software Defect Prediction 査読

Bennin, K.E., Keung, J., Phannachitta, P., Monden, A., Mensah, S.

IEEE Transactions on Software Engineering 44 ( 6 ) 534 - 550 2018年6月

Extended Association Rule Mining and Its Application to Software Engineering Data Sets 査読

Hidekazu Saito, Kinari Nishiura, Akito Monden, Shuji Morisaki

International Journal of Software Engineering and Knowledge Engineering 34 ( 11 ) 1735 - 1756 2024年11月

担当区分：責任著者記述言語：英語掲載種別：研究論文（学術雑誌）出版者・発行元：World Scientific Pub Co Pte Ltd

Association rule mining is a highly effective approach to data analysis for datasets of varying sizes, accommodating diverse feature values. Nevertheless, deriving practical rules from datasets with numerical variables presents a challenge, as these variables must be discretized beforehand. Quantitative association rule mining addresses this issue, allowing the extraction of valuable rules. This paper introduces an extension to quantitative association rules, incorporating a two-variable function in their consequent part. The use of correlation functions, statistical test functions, and error functions is also introduced. We illustrate the utility of this extension through three case studies employing software engineering datasets. In case study 1, we successfully pinpointed the conditions that result in either a high or low correlation between effort and software size, offering valuable insights for software project managers. In case study 2, we effectively identified the conditions that lead to a high or low correlation between the number of bugs and source lines of code, aiding in the formulation of software test planning strategies. In case study 3, we applied our approach to the two-step software effort estimation process, uncovering the conditions most likely to yield low effort estimation errors.

DOI： 10.1142/s0218194024500347

On Applying Bandit Algorithm to Fault Localization Techniques 査読

Masato Nakao, Kensei Hamamoto, Masateru Tsunoda, Amjed Tahir, Koji Toda, Akito Monden, Keitaro Nakasai, Kenichi Matsumoto

2024 IEEE 35th International Symposium on Software Reliability Engineering Workshops (ISSREW) 111 - 112 2024年10月

Demystifying Ambiguous Words in Request for Proposals of Information Systems in Japan 査読

Toru Nakamichi, Hiroki Inayoshi, Kinari Nishiura, Mariko Sasakura, Akito Monden

International Journal of Software Innovation 12 ( 1 ) 1 - 18 2024年10月

担当区分：最終著者,　責任著者記述言語：英語掲載種別：研究論文（学術雑誌）出版者・発行元：IGI Global

<p>Disagreements in interpreting words in software requirements specifications (SRSs) can lead to project failure. Various approaches to identifying and preventing ambiguous words in SRSs have been proposed. Yet, it is unclear which ambiguous words are used in the actual SRSs and to what extent they need to be modified. This paper quantitatively analyzes existing SRSs to clarify (1) how many ambiguous words are included in SRSs and (2) how many of these words require correction. This paper targets the Request for Proposals (RFPs), which describe the initial requirements of 40 systems of local governments, libraries, universities, and hospitals in Japan. Ten ambiguous Japanese words were analyzed. The result shows that “juubun” (sufficient) appeared most frequently, and 42% required correction when this word was used. The result also indicates that the number of ambiguous words varied greatly among the RFPs and that larger RFPs did not necessarily contain more ambiguous words.</p>

DOI： 10.4018/ijsi.358012

過去と現在進行中のテスト結果を組み合わせたソフトウェアバグ予測査読

廣瀬椋一, 西浦生成, 角田雅照, 門田暁人

コンピュータソフトウェア 41 ( 1 ) 2024年10月

Analyzing Class Usage in JavaScript Programs 査読

Kinari Nishiura, Shuto Misawa, Akito Monden

Proc. 6th World Symposium on Software Engineering (WSSE2024) 2024年9月

Comparison of Similarity Functions for n-gram Software Birthmarks 査読

Nikolay Fedorov, Haruaki Tamada, Hiroki Inayoshi, Akito Monden

Proc. 6th World Symposium on Software Engineering (WSSE2024) 2024年9月

An Empirical Study on Ambiguous Words in Software Requirements Specifications of Local Government and Library Systems 査読

Toru Nakamichi, Kinari Nishiura, Mariko Sasakura, Akito Monden

2024 IEEE/ACIS 22nd International Conference on Software Engineering Research, Management and Applications (SERA) 206 - 211 2024年5月

Porting a Python Application to the Web Using Django: A Case Study of an Archaeological Image Processing System 査読

Hikaru Tomita, Mariko Sasakura, Kinari Nishiura, Hiroki Inayoshi, Akito Monden

2024 IEEE/ACIS 22nd International Conference on Software Engineering Research, Management and Applications (SERA) 199 - 205 2024年5月

Identifying Security Bugs in Issue Reports: Comparison of BERT, N-gram IDF and ChatGPT 査読

Daiki Yokoyama, Kinari Nishiura, Akito Monden

2024 IEEE/ACIS 22nd International Conference on Software Engineering Research, Management and Applications (SERA) 328 - 333 2024年5月

スマホゲームにおける課金誘導方法の分析査読

麻生直希, 西浦生成, 笹倉万里子, 門田暁人

コンピュータソフトウェア 31 ( 1 ) 1_75 - 1_81 2024年1月

Using a Personality-Aware Recommendation System for Comparing Inventory Performances 査読

Natsu Nishimura, Zeynep Yücel, Akito Monden

2023 15th International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter) 228 - 235 2023年12月

Dependence of Perception of Vocabulary Difficulty on Contexture 査読

Parisa Supitayakul, Rika Kuramitsu, Zeynep Yucel, Akito Monden, Koichi Takeuchi

2023 15th International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter) 129 - 134 2023年12月

Experiment Design and Verification for Assessing the Acquisition of Strategic Planning Ability 査読

Natchanon Manatphaiboon, Shogo Hamachi, Zeynep Yücel, Pattara Leelaprute, Akito Monden

2023 15th International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter) 121 - 128 2023年12月

Fault-proneモジュール予測における第三者データに基づいた外れ値除去査読

西浦生成, 門田暁人

コンピュータソフトウェア 40 ( 4 ) 2023年11月

Software Defect Prediction by Online Learning Considering Defect Overlooking 査読

Yuta Yamasaki, Nikolay Fedorov, Masateru Tsunoda, Akito Monden, Amjed Tahir, Kwabena Ebo Bennin, Koji Toda, Keitaro Nakasai

2023 IEEE 34th International Symposium on Software Reliability Engineering Workshops (ISSREW) 2023年10月

Exploring Behavioral Trustworthiness of GitHub Developers 査読

Kinari Nishiura, Kaito Ikeda, Mariko Sasakura, Akito Monden

Proc. 5th World Symposium on Software Engineering (WSSE2023) 2023年9月

Subject Experiments with a Learning Support System for Grover's Algorithm 査読

Hayato Yasunaga, Mariko Sasakura, Akito Monden

Proc. 27th International Conference Information Visualisation (IV2023) 125 - 130 2023年7月

A Cost-Effectiveness Metric for Association Rule Mining in Software Defect Prediction 査読

Kinari Nishiura, Takeki Kasagi, Akito Monden

Proc. 21st International Conference on Software Engineering Research and Practice (SERP'23) 2023年7月

担当区分：最終著者,　責任著者記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）出版者・発行元：Research Square Platform LLC

Abstract

This paper proposes a cost-effectiveness metric for association rule mining suitable for software defect prediction where conditions of defective modules are characterized as association rules.Given a certain amount of test effort (or the number of test cases), the proposed metric is the expected number of defects to be discovered in modules that meet an association rule.Since the amount test effort is limited in general and full testing of all modules is ineffective, the proposed metric is useful to focus on the most cost effective set of modules to be tested with limited test effort. The proposed metric is defined based on the exponential Software Reliability Growth Model (SRGM) extended with the module size parameter, assuming that a larger module require more effort to discover defects. To evaluate the effectiveness of the proposed metric, association rules were extracted and prioritized based on the proposed metric using data sets of four open source software projects. The LOC-based cumulative-lift chart, which is often used to evaluate the cost effectiveness of defect prediction, shows that the proposed metric can focus on the rules that can discover more defects than the conventional association rule metrics, confidence and odds ratio.

DOI： 10.21203/rs.3.rs-1988568/v1

その他リンク： https://www.researchsquare.com/article/rs-1988568/v1.html

Artificial Neural Network Based Audio Reinforcement for Computer Assisted Rote Learning 査読

Parisa Supitayakul, Zeynep Yücel, Akito Monden

IEEE Access 11 39466 - 39483 2023年

Analysis of Programming Performance Based on 2-grams of Keystrokes and Mouse Operations. 査読

Kazuki Matsumoto, Kinari Nishiura, Mariko Sasakura, Akito Monden

Proc. 21st IEEE/ACIS International Conference on Software Engineering Research, Management and Applications (SERA2023) 301 - 306 2023年

A Dynamic Model Selection Approach to Mitigate the Change of Balance Problem in Cross-Version Bug Prediction 査読

Hiroshi Demanou, Akito Monden, Masateru Tsunoda

Proc. 10th International Workshop on Quantitative Approaches to Software Quality (QuASoQ 2022 2022年12月

Investigation of the relation between task engagement and eye gaze 査読

Shogo Hamachi, Parisa Supitayakul, Zeynep Yücel, Akito Monden

2022 13th International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter) 2022年12月

Examination of the relation between affective content of images and gaze behavior 査読

Terumi Kasahara, Parisa Supitayakul, Zeynep Yücel, Akito Monden

2022 13th International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter) 2022年12月

Developing a web application for RBSC-based solution of the subset selection problem 査読

Chigusa Ikeda, Parisa Supitayakul, Zeynep Yücel, Akito Monden

2022 13th International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter) 2022年12月

Preliminary Analysis of Review Method Selection Based on Bandit Algorithms 査読

Takuto Kudo, Masateru Tsunoda, Amjed Tahir, Kwabena Ebo Bennin, Koji Toda, Keitaro Nakasai, Akito Monden, Kenichi Matsumoto

2022 29th Asia-Pacific Software Engineering Conference (APSEC) 2022年12月

Clone Detection Method Selection Based on Bandit Algorithm: a Preliminary Analysis 査読

Takeru Tabo, Takuto Kudo, Masateru Tsunoda, Amjed Tahir, Kwabena Ebo Bennin, Koji Toda, Keitaro Nakasai, Akito Monden

2022 IEEE 16th International Workshop on Software Clones (IWSC) 2022年10月

相関ルールとランダムフォレストを組合わせたfault-proneモジュール予測の追実験査読

瀬戸俊輝, 西浦生成, 門田暁人

情報処理学会論文誌 63 ( 8 ) 1352 - 1360 2022年8月

Improvement and Evaluation of Data Consistency Metric CIL for Software Engineering Data Sets 査読

Maohua Gan, Zeynep Yucel, Akito Monden

IEEE Access 10 70053 - 70067 2022年

Using Bandit Algorithms for Selecting Feature Reduction Techniques in Software Defect Prediction. 査読

Masateru Tsunoda, Akito Monden, Koji Toda, Amjed Tahir, Kwabena Ebo Bennin, Keitaro Nakasai, Masataka Nagura, Kenichi Matsumoto

MSR 670 - 681 2022年

Investigating the effect of various types of audio reinforcement on memory retention 査読

Parisa Supitayakul, Yücel, Misato Nose, Akito Monden

Proc. 12th International Congress on Advanced Applied Informatics (IIAI-AAI2022) 250 - 255 2022年

掲載種別：研究論文（国際会議プロシーディングス）

Most e-learning systems deliver solely visual information, even though they boast a huge potential for supporting the learners using various other capabilities (e.g. camera, speakers) of the hosting platform (i.e. computer, smart phone etc.). In this study, we focus deploying one such potential, namely audio stimuli (informative and non-informative), for supporting rote learning of different types of learning material (i.e. easy verbal, hard verbal and numerical). Our results indicate that audio stimuli do not provide a significant benefit for studying easy verbal content, but there is a big room for improvement concerning other content types (hard verbal and numerical). Interestingly, despite the general implications of dual-coding theory, human-readout of hard verbal contents is observed not to provide any significant improvement over visual-only stimuli. However, to our surprise, non-informative audio stimuli (i.e. bell sound) are observed to provide an improvement, whereas numerical content is observed to benefit in a similar way from informative and non-informative audio. Based on these results, in the future we aim developing an automatic learning support system, which triggers the appropriate audio stimuli, taking in consideration the type of content.

DOI： 10.1109/IIAIAAI55812.2022.00057

A computationally efficient approach for solving RBSC-based formulation of the subset selection problem 査読

Kohei Furuya, Zeynep Yücel, Parisa Supitayakul, Akito Monden

Proc. 12th International Congress on Advanced Applied Informatics (IIAI-AAI2022) 341 - 347 2022年

掲載種別：研究論文（国際会議プロシーディングス）

This study focuses on a specific type of subset selection problem, which is constrained in terms of the rank bi-serial correlation (RBSC) coefficient of the outputs. For solving such problems, we propose an approach with several advantages such as (i) providing a clear insight into the feasibility of the problem with respect to the hyper-parameters, (ii) being non-iterative, (iii) having a foreseeable running time, and (iv) with the potential to yield non-deterministic (diverse) outputs. In particular, the proposed approach is based on starting from a composition of subsets with an extreme value of the RBSC coefficient (e.g. ρ=1) and swapping certain elements of the subsets in order to adjust ρ into the desired range. The proposed method is superior to the previously proposed RBSC-SubGen, which attempts to solve the problem before confirming its feasibility, taking random steps, and has unforeseeable running times and saturation issues.

DOI： 10.1109/IIAIAAI55812.2022.00076

Neg/pos-Normalized Accuracy Measures for Software Defect Prediction 査読

Maohua Gan, Zeynep Yücel, Akito Monden

IEEE Access 10 134580 - 134591 2022年

担当区分：最終著者,　責任著者掲載種別：研究論文（学術雑誌）

In evaluating the performance of software defect prediction models, accuracy measures such as precision and recall are commonly used. However, most of these measures are affected by neg/pos ratio of the data set being predicted, where neg is the number of negative cases (defect-free modules) and pos is the number of positive cases (defective modules). Thus, it is not fair to compare such values across different data sets with different neg/pos ratios and it may even lead to misleading or contradicting conclusions. The objective of this study is to address the class imbalance issue in assessing performance of defect prediction models. The proposed method relies on computation of expected values of accuracy measures based solely on the value of the neg and pos values of the data set. Based on the expected values, we derive the neg/pos-normalized accuracy measures, which are defined as their divergence from the expected value divided by the standard deviation of all possible prediction outcomes. The proposed measures enable us to provide a ranking of predictions across different data sets, which can distinguish between successful predictions and unsuccessful predictions. Our results derived from a case study of defect prediction based on 19 defect data sets indicate that ranking of predictions is significantly different than the ranking of conventional accuracy measures such as precision and recall as well as composite measures F1-value, AUC of ROC, MCC, G-mean and Balance. In addition, we conclude that MCC attains a better defect prediction accuracy than F1-value, AUC of ROC, G-mean and Balance.

DOI： 10.1109/ACCESS.2022.3232144

Gaze Analysis in Spot the Difference. 査読

Mariko Sasakura, Syouta Toda, Akito Monden

26th International Conference Information Visualisation(IV) 161 - 166 2022年

Exploring the limits of an RBSC-based approach in solving the subset selection problem 査読

Furuya Kohei, Zeynep Yücel, Parisa Supitayakul, Akito Monden, Pattara Leelaprute

International Conference on Data Science and Institutional Research (DSIR 2021) 2021年12月

On the interplay between vocal production effect and learning content types in e-learning settings 査読

Kazuma Ohta, Zeynep Yücel, Parisa Supitayakul, Akito Monden, Pattara Leelaprute

International Conference on Learning Technologies and Learning Environments (LTLE 2021) 2021年12月

ソフトウェア開発工数予測におけるauto-sklearnの適用査読

田中和也, 門田暁人, Zeynep Yücel

コンピュータソフトウェア 38 ( 4 ) 4_46 - 4_52 2021年11月

Human Resource Analysis Based on Used Libraries in Eclipse Projects on GitHub 査読

Wilson Chukwu Emmanuel, Akito Monden

Proc. 22nd IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing ( WP1-07 ) 1 - 4 2021年11月

Effectiveness of Explaining a Program to Others in Finding Its Bugs 査読

Toshihiro Nakamura, Akito Monden, Mariko Sasakura, Hidetake Uwano

Proc. 22nd IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing ( WP1-06 ) 1 - 6 2021年11月

Association Metrics Between Two Continuous Variables for Software Project Data 査読

Takumi Kanehira, Akito Monden, Zeynep Yucel

Proc. 22nd IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing ( WP1-05 ) 1 - 6 2021年11月

A Simulation Model of Software Quality Assurance in the Software Lifecycle 査読

Hiroto Nakahara, Akito Monden, Zeynep Yucel

Proc. 22nd IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing ( WP1-04 ) 1 - 6 2021年11月

Using Bandit Algorithms for Project Selection in Cross-Project Defect Prediction 査読

Takuya Asano, Masateru Tsunoda, Koji Toda, Amjed Tahir, Kwabena Ebo Bennin, Keitaro Nakasai, Akito Monden, Kenichi Matsumoto

2021 IEEE International Conference on Software Maintenance and Evolution (ICSME) 649 - 653 2021年9月

ソフトウェア開発工数予測におけるデータスムージングの定量的評価査読

伊永健人, 門田暁人, Zeynep Yücel

コンピュータソフトウェア 38 ( 3 ) 3_83 - 3_89 2021年8月

A Novel Approach to Address External Validity Issues in Fault Prediction Using Bandit Algorithms 査読

Teruki HAYAKAWA, Masateru TSUNODA, Koji TODA, Keitaro NAKASAI, Amjed TAHIR, Kwabena Ebo BENNIN, Akito MONDEN, Kenichi MATSUMOTO

IEICE Transactions on Information and Systems E104.D ( 2 ) 327 - 331 2021年2月

Analysis of Work Efficiency and Quality of Software Maintenance Using Cross-Company Dataset 査読

Masateru TSUNODA, Akito MONDEN, Kenichi MATSUMOTO, Sawako OHIWA, Tomoki OSHINO

IEICE Transactions on Information and Systems E104.D ( 1 ) 76 - 90 2021年1月

Influence of Outliers on Estimation Accuracy of Software Development Effort 査読

Kenichi Ono, Masateru Tsunoda, Akito Monden, Kenichi Matsumoto

IEICE Transactions on Information and Systems E104.D ( 1 ) 91 - 105 2021年1月

Applying auto-sklearn to Software Development Effort Estimation.

Kazuya Tanaka, Akito Monden, Zeynep Yücel

Computer Software 38 ( 4 ) 46 - 52 2021年

掲載種別：研究論文（学術雑誌）

Recently, automated machine learning (AutoML), which automates pre-processing, model selection, and hyperparameter adjustment, is becoming more and more popular, and it is expected to provide both ease of model construction and high prediction accuracy. In this study, we apply AutoML to software development effort estimation and experimentally evaluate its effectiveness. In our experiments, we employed auto-sklearn, which is an AutoML library, as well as linear multiple regression, elastic net, and random forest for comparison. A comparison of the estimation accuracy of each model by the win-tie-loss method confirmed that auto-sklearn showed the same or better estimation performance than other models. We also summarize the results of analyzing the effect of search time of auto-sklearn on the estimation accuracy.

DOI： 10.11309/jssst.38.4_46

Quantitative evaluation of data smoothing for software effort estimation

Kento Korenaga, Akito Monden, Zeynep Yücel

Computer Software 38 ( 3 ) 83 - 89 2021年

掲載種別：研究論文（学術雑誌）

In this study, we quantitatively compare the effects of outlier handling methods in training datasets for model building on eight software effort estimation models (e.g., linear multiple regression, regression trees, random forests, support vector regression, etc.), and we evaluate the effectiveness of the data smoothing method proposed by the authors. In our experiments, we compare three outlier removal methods (outlier removal using Cook's distance, TEAK, and Filter-INC) in addition to the data smoothing method. Experimental results showed that the data smoothing method combined with the outlier detection method in Cook's distance or Filter-INC were found to build a model with good estimation performance.

DOI： 10.11309/jssst.38.3_83

原型分析によるOSS開発者の貢献タイプの分析査読

池本和靖, 門田暁人

コンピュータソフトウェア 47 ( 4 ) 17 - 23 2020年11月

ソフトウェア開発データを対象とする２変数間の尺度の検討

金平拓生, 門田暁人

情報処理学会第206回ソフトウェア工学研究会 2020-SE-206 ( 2 ) 2020年11月

ランダムフォレストと相関ルールの組み合わせによるソフトウェアバグ予測の試行

瀬戸俊輝, 門田暁人

情報処理学会第206回ソフトウェア工学研究会 2020-SE-206 ( 3 ) 2020年11月

ソフトウェアレビューのシミュレーションモデルとそのケーススタディ査読

中原寛人, 門田暁人

ソフトウェア工学の基礎XXVII, 第27回ソフトウェア工学の基礎ワークショップFOSE2020 67 - 75 2020年11月

ソフトウェア開発工数予測におけるAutoML の実験的評価査読

田中和也, 門田暁人

ソフトウェア工学の基礎XXVII, 第27回ソフトウェア工学の基礎ワークショップFOSE2020 141 - 142 2020年11月

データ断片からのソフトウェア開発データの復元の試み査読

西脇将樹, 門田暁人

ソフトウェア工学の基礎XXVII;回ソフトウェア工学の基礎ワークショップFOS 139 - 140 2020年11月

バグを含む機械学習システムの挙動の分析の試行査読

木内祐太, 門田暁人

ソフトウェア工学の基礎XXVII, 第27回ソフトウェア工学の基礎ワークショップFOSE2020 147 - 148 2020年11月

ソフトウェアバグ予測における学習データ切り替えの効果査読

廣瀬椋一, 門田暁人

ソフトウェア工学の基礎XXVII, 第27回ソフトウェア工学の基礎ワークショップFOSE2020 153 - 154 2020年11月

ソフトウェア開発工数予測におけるデータスムージングの実験的評価査読

伊永健人, 門田暁人

ソフトウェア工学の基礎XXVII, 第27回ソフトウェア工学の基礎ワークショップFOSE2020 133 - 134 2020年11月

Report on the 26th foundation of software engineering workshop (fose2019)

Shuji Morisaki, Masao Ohira, Akito Monden

Computer Software 37 ( 4 ) 3 - 9 2020年10月

Empirical Evaluation of Mimic Software Project Data Sets for Software Effort Estimation 査読

Maohua GAN, Zeynep YÜCEL, Akito MONDEN, Kentaro SASAKI

IEICE Transactions on Information and Systems E103.D ( 10 ) 2094 - 2103 2020年10月

ソフトウェア開発工数予測へのAutoMLの適用

田中和也, 門田暁人

日本ソフトウェア科学会第37回大会 ( 25-P ) 2020年9月

ソフトウェア開発実績データセットへのデータスムージングの適用

伊永健人, 門田暁人

日本ソフトウェア科学会第37回大会 ( 27-P ) 2020年9月

Investigating effect of stimulus modality on recollection rate in e-learning systems 査読

Parisa Supitayakul, Zeynep Yücel, Akito Monden, Pattara Leelaprute

International Conference on Learning Technologies and Learning Environments 2020年9月

An Algorithm for Automatic Collation of Vocabulary Decks Based on Word Frequency 査読

Zeynep YÜCEL, Parisa SUPITAYAKUL, Akito MONDEN, Pattara LEELAPRUTE

IEICE Transactions on Information and Systems E103.D ( 8 ) 1865 - 1874 2020年8月

Identification of behavioral variables for efficient representation of difficulty in vocabulary learning systems 査読

Parisa Supitayakul, Zeynep Yücel, Akito Monden, Pattara Leelaprute

International Journal of Learning Technologies and Learning Environments 3 ( 1 ) 51 - 60 2020年6月

Estimating Level of Engagement from Ocular Landmarks 査読

Zeynep Yucel, Serina Koyama, Akito Monden, Mariko Sasakura

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION 2020年5月

行レベルバグ予測のためのWebアプリケーション査読

金平拓生, 門田暁人

ソフトウェア工学の基礎XXVI, ソフトウェア工学の基礎ワークショップFOSE2019 2019年11月

ソフトウェアバグ予測におけるauto-sklearnの有効性評価査読

田中和也, 門田暁人, Zeynep Yücel

コンピュータソフトウェア 36 ( 4 ) 46 - 52 2019年11月

原型分析によるソフトウェア開発者の貢献タイプの分析査読

池本和靖, 門田暁人

ソフトウェア工学の基礎XXVI, ソフトウェア工学の基礎ワークショップFOSE2019 2019年11月

ソフトウェアバグ予測の費用対効果に基づくアソシエーションルールの優先順付け査読

笠木健希, 門田暁人, Zeynep Yücel

ソフトウェア工学の基礎XXVI, ソフトウェア工学の基礎ワークショップFOSE2019 2019年11月

ソフトウェアレビューのシミュレーション査読

中原寛人, 門田暁人

ソフトウェア工学の基礎XXVI, ソフトウェア工学の基礎ワークショップFOSE2019 2019年11月

ソフトウェア開発におけるcontext switchの影響査読

井下瑚都, Zeynep Yücel, 門田暁人

ソフトウェア工学の基礎XXVI, ソフトウェア工学の基礎ワークショップFOSE2019 2019年11月

Algorithmic Expressions for Assessing Algorithmic Thinking Ability of Elementary School Children 査読

Yasumasa Oomori, Hidekuni Tsukamoto, Hideo Nagumo, Yasuhiro Takemura, Kouki Iida, Akito Monden, Ken-ichi Matsumoto

2019 IEEE Frontiers in Education Conference (FIE) 2019年10月

Effect of Grasping Uniformity on Estimation of Grasping Region from Gaze Data 査読

Pimwalun Witchawanitchanun, Zeynep Yucel, Akito Monden, Pattara Leelaprute

Proceedings of the 7th International Conference on Human-Agent Interaction 265 - 267 2019年9月

Quantitative Evaluation of the Relation Between Blink Features and Apparent Task Engagement

Serina Koyama, Zeynep Yucel, Akito Monden

PERCEPTION 48 731 - 731 2019年9月

ソフトウェア開発者の貢献タイプの分析

池本和靖, 門田暁人

第18回情報科学技術フォーラム(FIT2019) ( B-007 ) 1 - 2 2019年9月

ランダムフォレストを用いた難読化されたコードのステルス評価の検討

北岡哲哉, 神崎雄一郎, 森川みどり, 門田暁人

第18回情報科学技術フォーラム(FIT2019) 講演論文集第1分冊 29 - 32 2019年9月

相関関数を扱うアソシエーションルールの提案とソフトウェア開発データへの適用査読

齊藤英和, 門田暁人, Zeynep Yücel, 森崎修司

コンピュータソフトウェア 36 ( 3 ) 47 - 53 2019年8月

A signal processing perspective on human gait: Decoupling walking oscillations and gestures 査読

Adrien Gregorj, Zeynep Yücel, Sunao Hara, Akito Monden, Masahiro Shiomi

Proceedings of the 4th International Conference on Interactive Collaborative Robotics 2019 (ICR 2019) 75 - 85 2019年8月

Assessing the Effect of Varying Word Classes on Behavioral Variables in Technology Mediated Vocabulary Learning 査読

Parisa Supitayakul, Zeynep Yucel, Akito Monden, Pattara Leelaprute

2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI) 226 - 229 2019年7月

On Preventing Symbolic Execution Attacks by Low Cost Obfuscation 査読

Toshiki Seto, Akito Monden, Zeynep Yücel, Yuichiro Kanzaki

Proc. 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2019) 495 - 500 2019年7月

Data Smoothing for Software Effort Estimation 査読

Kent Korenaga, Akito Monden, Zeynep Yucel

2019 20TH IEEE/ACIS INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING AND PARALLEL/DISTRIBUTED COMPUTING (SNPD) 501 - 506 2019年7月

Prediction of Software Defects Using Automated Machine Learning 査読

Kazuya Tanaka, Akito Monden, Zeynep Yucel

2019 20TH IEEE/ACIS INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING AND PARALLEL/DISTRIBUTED COMPUTING (SNPD) 490 - 494 2019年

Proposal of Association Rule with Correlation Functions and Its Application to Software Development Data.

Hidekazu Saito, Akito Monden, Zeynep Yücel, Shuji Morisaki

Computer Software 36 ( 3 ) 47 - 53 2019年

掲載種別：研究論文（学術雑誌）

In this paper, we propose an association rule A ) Correl(X, Y ) that handles a correlation function, where A is the prerequisite and Correl(X, Y ) is the correlation between variables X and Y . With this extension, we can find conditions whose correlation of arbitrary two variables is high (or low) from a given data set. Furthermore, in order to distinguish statistically significant correlation, we define the rule A ) TestCorrel(X, Y ) which holds the result of the correlation significance test in the conclusion section, where TestCorrel(X, Y ) is a p-value of no-correlation test between X and Y . In order to confirm the feasibility of the proposed method, a case study using software development data was conducted. We found that it is possible to distinguish projects that are suitable for predicting development effort and those that are not.

DOI： 10.11309/jssst.36.3_47

Effectiveness of auto-sklearn in Software Bug Prediction

Kazuya Tanaka, Akito Monden, Yucel Zeynep

Computer Software 36 ( 4 ) 46 - 52 2019年

掲載種別：研究論文（学術雑誌）

Auto-sklearn is a recent attention-gathering software library for automated machine learning that can au-tomatically select appropriate prediction models and hyper parameters for a given data set. In this paper we empirically evaluate the effectiveness of auto-sklearn in software bug prediction. In the experiment, we used software metrics of 20 OSS projects for inter-version bug prediction and compared auto-sklearn with random forrest, decision tree and linear descriminat analysis by using AUC of ROC curve as a performance measure. As a result, auto-sklearn showed similar prediction performance as random forrest. We conclude that, although auto-sklearn is useful for bug prediction, we cannot expect better prediction performance than conventional modeling techniques.

DOI： 10.11309/jssst.36.4_46

Report on the 25th foundation of software engineering workshop (FOSE2018)

Kei Ito, Toshihiro Kamiya, Akito Monden

Computer Software 36 ( 4 ) 60 - 67 2019年

Introduction to the special issue on foundations of software engineering

Monden, A., Ito, K., Kamiya, T., Aman, H., Hanakawa, N., Sawada, A., Sugiyama, Y., Washizaki, H.

Computer Software 36 ( 4 ) 2 - 2 2019年

シンボリック実行攻撃を妨げるソフトウェア難読化方法の検討

瀬戸俊輝, 門田暁人, 神崎雄一郎

ソフトウェア工学の基礎XXV，ソフトウェア工学の基礎ワークショップFOSE2018 145 - 146 2018年11月

難読化されたJavaバイトコードに対するシンボリック実行攻撃の困難さ評価の検討

西陽太, 神崎雄一郎, 門田暁人, 玉田春昭

ソフトウェア工学の基礎XXV，ソフトウェア工学の基礎ワークショップFOSE2018 151 - 152 2018年11月

Cross-validation-based association rule prioritization metric for software defect characterization 査読

Watanabe, T., Monden, A., Y{\"u}cel, Z., Kamei, Y., Morisaki, S.

IEICE Transactions on Information and Systems E101D ( 9 ) 2269 - 2278 2018年9月

難読化されたプログラムの自動解析への耐性に関する考察

西陽太, 神崎雄一郎, 門田暁人

情報処理学会第80回全国大会講演論文集 (講演番号2J-04) 2018年3月

分岐命令のカムフラージュに基づくプログラムの制御フローの隠ぺい

村上隼之助, 神崎雄一郎, 門田暁人

情報処理学会九州支部火の国情報シンポジウム2018 C3-3 2018年3月

A feasibility study of two-step software effort estimation 査読

Naoki Kinoshita, Akito Monden

Computer Software 35 ( 1 ) 194 - 200 2018年2月

記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：Japan Society for Software Science and Technology

In this paper, focusing on the problem that estimation accuracy of software development effort greatly varies among software projects, we propose a two-step effort estimation method, and conduct a feasibility study of the method. In the proposed method, given a project to be estimated, we evaluate the dependability of effort estimation for the project, that is, we evaluate whether the effort can be accurately estimated or not for the project. In case that the dependability is high, we conduct the estimation. Otherwise, estimation is avoided. As a result of an experiment to assess the feasibility of the proposed method, the residual square mean turned out to be a suitable measure of dependability
and, by avoiding the estimation when a project belongs to the high residual square mean group, the estimation error was reduced, which indicates the effectiveness of the two-step estimation. Also, by relaxing the conditions to avoid the estimation, we found that it is possible to increase the number of project to be estimated, while decreasing the estimation error.

DOI： 10.11309/jssst.35.1_194

移動窓によるソフトウェアバグの行レベル予測の試み

福谷圭吾, 門田暁人, ユジャイゼイネップ, 畑秀明

コンピュータソフトウェア 35 ( 4 ) 122 - 128 2018年1月

記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：日本ソフトウェア科学会

<p>本論文では，ソフトウェアに含まれるバグを，行の粒度で予測することを試みる．提案方法では，ソースコードを探索するためのある大きさを持った窓を用意し，バグを含むソースコードの先頭から最後へ向けて窓をずらして走査を行うことで，バグを含む窓の集合と，含まない窓の集合を作成する．次に，各窓に含まれるソースコードのトークン列を入力として，各窓に対するバグを含む確率を出力とするスパムフィルタベースのバグ予測モデルを構築する．最後に，各窓に対する予測結果を統合し，各行に対するバグ混入確率を算出する．バグを 1 つだけ含むことが予め判明している 593 件のソースコード群を用いた実験の結果，窓の大きさを 3 行とした場合に，バグを含む確率が高いと予測された上位 10 行に全バグの 67.1% が含まれることが分かり，バグを行レベルで予測するという本試みの実現可能性を確認できた．</p>

Kurtosis and Skewness Adjustment for Software Effort Estimation. 査読

Seiji Fukui, Akito Monden, Zeynep Yücel

25th Asia-Pacific Software Engineering Conference, APSEC 2018, Nara, Japan, December 4-7, 2018 504 - 511 2018年

Generation of Mimic Software Project Data Sets for Software Engineering Research. 査読

Maohua Gan, Kentaro Sasaki, Akito Monden, Zeynep Yücel

Proceedings of the 6th International Workshop on Quantitative Approaches to Software Quality co-located with 25th Asia-Pacific Software Engineering Conference (APSEC 2018), Nara, Japan, December 4, 2018. 2273 38 - 43 2018年

Scaling up software birthmarks using fuzzy hashing

Takehiro Tsuzaki, Teruaki Yamamoto, Haruaki Tamada, Akito Monden

International Journal of Software Innovation 5 ( 3 ) 89 - 102 2017年7月

記述言語：英語掲載種別：研究論文（学術雑誌）出版者・発行元：Taru Publications

To detect the software theft, software birthmarks have been proposed. Software birthmark systems extract software birthmarks, which are native characteristics of software, from binary programs, and compare them by computing the similarity between birthmarks. This paper proposes a new procedure for scaling up the birthmark systems. While conventional birthmark systems are composed of the birthmark extraction phase and the birthmark comparison phase, the proposed method adds two new phases between extraction and comparison, namely, compression phase, which employs fuzzy hashing, and pre-comparison phase, which aims to increase distinction property of birthmarks. The proposed method enables us to reduce the required time in the comparison phase, so that it can be applied to detect software theft among many larger scale software products. From an experimental evaluation, the authors found that the proposed method significantly reduces the comparison time, and keeps the distinction performance, which is one of the important properties of the birthmark. Also, the preservation performance is acceptable when the threshold value is properly set.

DOI： 10.4018/IJSI.2017070107

Examining Software Engineering Beliefs about System Testing Defects

Akito Monden, Masateru Tsunoda, Mike Barker, Kenichi Matsumoto

IT PROFESSIONAL 19 ( 2 ) 58 - 64 2017年3月

記述言語：英語掲載種別：研究論文（学術雑誌）出版者・発行元：IEEE COMPUTER SOC

Software engineering beliefs-short, attention-getting, practically useful statements-can help to justify process improvements. The authors empirically validate four selected beliefs in relation to the increase or decrease of defects in system testing.

DOI： 10.1109/MITP.2017.31

Industry Application of Software Development Task Measurement System: TaskPit

Pawin Suthipornopas, Pattara Leelaprute, Akito Monden, Hidetake Uwano, Yasutaka Kamei, Naoyasu Ubayashi, Kenji Araki, Kingo Yamada, Ken-ichi Matsumoto

IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS E100D ( 3 ) 462 - 472 2017年3月

記述言語：英語掲載種別：研究論文（学術雑誌）出版者・発行元：IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG

To identify problems in a software development process, we have been developing an automated measurement tool called TaskPit, which monitors software development tasks such as programming, testing and documentation based on the execution history of software applications. This paper introduces the system requirements, design and implementation of TaskPit; then, presents two real-world case studies applying TaskPit to actual software development. In the first case study, we applied TaskPit to 12 software developers in a certain software development division. As a result, several concerns (to be improved) have been revealed such as (a) a project leader spent too much time on development tasks while he was supposed to be a manager rather than a developer, (b) several developers rarely used e-mails despite the company's instruction to use e-mail as much as possible to leave communication records during development, and (c) several developers wrote too long e-mails to their customers. In the second case study, we have recorded the planned, actual, and self reported time of development tasks. As a result, we found that (d) there were unplanned tasks in more than half of days, and (e) the declared time became closer day by day to the actual time measured by TaskPit. These findings suggest that TaskPit is useful not only for a project manager who is responsible for process monitoring and improvement but also for a developer who wants to improve by him/herself.

DOI： 10.1587/transinf.2016EDP7222

Benchmarking IT operations cost based on working time and unit cost

Masateru Tsunoda, Akito Monden, Kenichi Matsumoto, Sawako Ohiwa, Tomoki Oshino

SCIENCE OF COMPUTER PROGRAMMING 135 75 - 87 2017年2月

記述言語：英語掲載種別：研究論文（学術雑誌）出版者・発行元：ELSEVIER SCIENCE BV

Recently, size of information system gets large, and the information system operation (IT operations) is often outsourced. When IT operations of the large system is outsourced, high cost is needed, and troubles in IT operations may affect the activity of the company. Therefore, the information system operation is important for the companies. Cost is one of the important factors when the system operation is outsourced. However, it is not easy for the customers (system users) to judge whether the operation cost is valid or not. To support the judgment, we focus on information which the customers can know (e.g., size of software), to estimate the working time. In the analysis, we clarified the factors which affect the working time. Then, data was stratified based on the factors, to show the benchmark of working time. Using the benchmark, customers estimate the working time roughly. Also, we clarified the factors which affect the unit cost, and showed the benchmark. Operation cost can be estimated, by estimated working time multiplied by the estimated unit cost. The analysis results showed that the process standardization relates to the working time of operators. Also, the network range and the contract type have a relationship to the unit cost of operators. Work efficiency and unit cost do not affect operation quality. (C) 2016 Elsevier B.V. All rights reserved.

DOI： 10.1016/j.scico.2016.10.006

A stability assessment of solution adaptation techniques for analogy-based software effort estimation

Passakorn Phannachitta, Jacky Keung, Akito Monden, Kenichi Matsumoto

EMPIRICAL SOFTWARE ENGINEERING 22 ( 1 ) 474 - 504 2017年2月

記述言語：英語掲載種別：研究論文（学術雑誌）出版者・発行元：SPRINGER

Among numerous possible choices of effort estimation methods, analogy-based software effort estimation based on Case-based reasoning is one of the most adopted methods in both the industry and research communities. Solution adaptation is the final step of analogy-based estimation, employed to aggregate and adapt to solutions derived during the case-based reasoning process. Variants of solution adaptation techniques have been proposed in previous studies; however, the ranking of these techniques is not conclusive and shows conflicting results, since different studies rank these techniques in different ways. This paper aims to find a stable ranking of solution adaptation techniques for analogy-based estimation. Compared with the existing studies, we evaluate 8 commonly adopted solution techniques with more datasets (12), more feature selection techniques included (4), and more stable error measures (5) to a robust statistical test method based on the Brunner test. This comprehensive experimental procedure allows us to discover a stable ranking of the techniques applied, and to observe similar behaviors from techniques with similar adaptation mechanisms. In general, the linear adaptation techniques based on the functions of size and productivity (e.g., regression towards the mean technique) outperform the other techniques in a more robust experimental setting adopted in this study. Our empirical results show that project features with strong correlation to effort, such as software size or productivity, should be utilized in the solution adaptation step to achieve desirable performance. Designing a solution adaptation strategy in analogy-based software effort estimation requires careful consideration of those influential features to ensure its prediction is of relevant and accurate.

DOI： 10.1007/s10664-016-9434-8

提案依頼書に含まれる無理難題の分類

門田暁人, 住吉倫明, 神谷芳樹

SEC journal 13 ( 3 ) 18 - 25 2017年

Textual vs. visual programming languages in programming education for primary schoolchildren 査読

Hidekuni Tsukamoto, Yasuhiro Takemura, Yasumasa Oomori, Isamu Ikeda, Hideo Nagumo, Akito Monden, Ken Ichi Matsumoto

Proceedings - Frontiers in Education Conference, FIE 2016-November 2016年11月

掲載種別：研究論文（国際会議プロシーディングス）

© 2016 IEEE. The purpose of this research is to compare textual programming languages and visual programming languages from the aspect of motivation. As a textual programming language, Processing programming language was used, and as visual programming languages, Scratch, a derivation of Scratch, Teaching materials offered by code.org, and LEGO Mindstorms EV3 were used. Teaching materials using the textual programming language, and those using the visual programming languages were developed separately. A trial experiment of programming education with the textual programming language was conducted to a cohort of seven primary schoolchildren. Trial experiments with the visual programming languages were conducted twice. In each of them, a cohort of eight primary schoolchildren participated. The motivation of the children was assessed using the questionnaire based on the ARCS (Attention, Relevance, Confidence, and Satisfaction) motivation model. The results with the visual programming languages suggested that the motivation scores of the children increased as the class progressed when visual programming languages were used. On the other hand, the results with Processing suggested that the variance of Satisfaction factor increased as the class progressed when textual programming languages were used, which further suggested that the Satisfaction scores of the children spread as the class progressed when textual programming languages were used.

DOI： 10.1109/FIE.2016.7757571

Investigating and projecting population structures in open source software projects: A case study of projects in GitHub 査読

Saya Onoue, Hideaki Hata, Akito Monden, Kenichi Matsumoto

IEICE Transactions on Information and Systems E99D ( 5 ) 1304 - 1315 2016年5月

掲載種別：研究論文（学術雑誌）

© Copyright 2016 The Institute of Electronics, Information and Communication Engineers. GitHub is a developers' social networking service that hosts a great number of open source software (OSS) projects. Although some of the hosted projects are growing and have many developers, most projects are organized by a few developers and face difficulties in terms of sustainability. OSS projects depend mainly on volunteer developers, and attracting and retaining these volunteers are major concerns of the project stakeholders. To investigate the population structures of OSS development communities in detail and conduct software analytics to obtain actionable information, we apply a demographic approach. Demography is the scientific study of population and seeks to identify the levels and trends in the size and components of a population. This paper presents a case study, investigating the characteristics of the population structures of OSS projects on GitHub, and shows population projections generated with the well-known cohort component method. We found that there are four types of population structures in OSS development communities in terms of experiences and contributions. In addition, we projected the future population accurately using a cohort component population projection method. This method predicts a population of the next period using a survival rate calculated from past population. To the best of our knowledge, this is the first study that applied demography to the field of OSS research. Our approach addressing OSS-related problems based on demography will bring new insights, since studying population is novel in OSS research. Understanding current and future structures of OSS projects can help practitioners to monitor a project, gain awareness of what is happening, manage risks, and evaluate past decisions.

DOI： 10.1587/transinf.2015EDP7363

チュートリアルシリーズ「オープンソースソフトウェア工学」について

伊原彰紀, 大平雅雄, 門田暁人

コンピュータソフトウェア 33 ( 1 ) 1_27 - 1_27 2016年

Programming education for primary school children using a textual programming language

Hidekuni Tsukamoto, Yasuhiro Takemura, Hideo Nagumo, Isamu Ikeda, Akito Monden, Ken-Ichi Matsumoto

Proceedings - Frontiers in Education Conference, FIE 2015 2015年12月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）出版者・発行元：Institute of Electrical and Electronics Engineers Inc.

In this research, a Textual Programming Language (TPL) is used in programming education for primary schoolchildren because of the following reasons: (1) it is more practical to use the programming languages similar to the ones used for developing real applications, (2) typing statements could be easier for primary schoolchildren than generally thought, (3) there exist programming environments such as Processing that are easy to use and produce very attractive graphical outcomes. Teaching material for programming education with Processing was developed. In this teaching material, cartoons were used to explain difficult concepts. The learners who use this teaching material were supposed to draw some computational figures with chosen colors. Trial experiments of programming education using this teaching material was conducted to a cohort of seven primary schoolchildren (six 4th grade and one 5th grade children) in two consecutive weekend classes (one hour each). Since the authors' aim of this programming education was to create a sense of fun and excitement in the children and inculcate a desire to engage with computing, the motivation of the children was assessed using the questionnaire based on the ARCS (Attention, Relevance, Confidence, and Satisfaction) motivation model. The results were encouraging and suggested that TPLs could be used in programming education for primary schoolchildren.

DOI： 10.1109/FIE.2015.7344187

コード断片の不自然さの比較による保護機構の発見困難さの評価

松田篤和, 神崎雄一郎, 門田暁人

情報処理学会第77回全国大会講演論文集 (講演番号1L-02) 2015年3月

保護コードの自然さに着目した命令カムフラージュ

永井晃人, 神崎雄一郎, 門田暁人

情報処理学会第77回全国大会講演論文集 (講演番号1L-03) 2015年3月

Prediction of the change of learners' motivation in programming education for non-computing majors 査読

Hidekuni Tsukamoto, Yasuhiro Takemura, Hideo Nagumo, Akito Monden, Ken-Ichi Matsumoto

Proceedings - Frontiers in Education Conference, FIE 2015- ( February ) 2015年2月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）出版者・発行元：Institute of Electrical and Electronics Engineers Inc.

In the past, the authors had been analyzing motivation of the learners in programming education using the ARCS assessment metric. This metric had been used in the application experiment in 13 programming courses, and about 1,700 sets of data was collected. From these data, the learners' model, characteristics of the change of motivation, and ways of improving teaching materials had been clarified. However, these study results were obtained after the terms, when the programming courses were over, and thus did not contribute much to the ongoing programming education. For this reason, in this research, the methods for predicting the change of learners' motivation were studied so that the learners who may need support could be identified. The idea came from the experiment the authors conducted, in which the motivation of learners was analyzed by plotting the motivation scores of each factor in the ARCS model as a 3D graph. As a result, a decreasing tendency of motivation was observed when the distribution of the plot widened. After studying the tendency in detail, it was thought to be due to the influence of the variance of sub-level category scores. In the proposed method, the motivation of each learner is assessed in each lesson using the ARCS assessment metric. If variance of the motivation scores of a learner in a lesson is above a certain threshold value AND if mean of the scores has not decreased from the previous lesson, then the learner is identified as a candidate of learner who needs support at that lesson. In the application experiment, a programming course with 9 lessons was offered and 9 learners attended all the 9 lessons. In the experiment, 7 cases had been identified as the candidates of learners who need support, and out of those 7 cases, a decrease of motivation to less than average was observed in 5 cases.

DOI： 10.1109/FIE.2014.7044221

Introduction to the Special Issue on Foundation of Software Engineering

Sugiyama, Y., Sawada, A., Washizaki, H., Aman, H., Monden, A., Kobayashi, T., Hanakawa, N., Obana, M.

Computer Software 32 ( 3 ) 3 - 3 2015年

プログラム理解の困難さの脳血流による計測の試み査読

中川尊雄, 亀井靖高, 上野秀剛, 門田暁人, 松本健一

コンピュータソフトウェア 31 ( 3 ) 3_270 - 3_276 2014年9月

Takao Nakagawa, Akito Monden, Ken Ichi Matsumoto, Yasutaka Kamei, Hidetake Uwano 査読

Takao Nakagawa, Akito Monden, Ken Ichi Matsumoto, Yasutaka Kamei, Hidetake Uwano

Computer Software 31 ( 3 ) 270 - 276 2014年8月

N-gramモデルを用いたソフトウェア保護機構の不自然さ評価

神崎雄一郎, 尾上栄浩, 門田暁人

2014年暗号と情報セキュリティシンポジウム(SCIS2014)予稿集 (講演番号2D2-1) 2014年1月

自動計測データに基づくソフトウェア開発の作業目的の予測査読

大橋亮太, 上野秀剛, 門田暁人, 荒木健史, 山田欣吾, 松本健一

第21回ソフトウェア工学の基礎ワークショップ (FOSE 2014) 2014年

「ソフトウェア工学の実証的アプローチ」シリーズ第5回ソフトウェアリポジトリマイニング査読

門田暁人, 伊原彰紀, 松本健一

コンピュウータソフトウェア 30 ( 2 ) 52 - 65 2013年5月

The effects of teaching material remediation with ARCS-strategies for programming education 査読

Hidekuni Tsukamoto, Yasuhiro Takemura, Hideo Nagumo, Akito Monden, Ken-Ichi Matsumoto

Proceedings - Frontiers in Education Conference, FIE 717 - 723 2013年

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

In this paper, a method for improving the teaching materials of programming education is introduced, and the evaluation of the effects of using the strategy is presented. By using this method, the teachers of programming education will be able to assess and improve their teaching materials irrespective of their knowledge and experience of their teaching materials already used. In this method, the teaching materials were improved based on the statistical analysis of the motivation of students. Specifically, the motivation of students was measured for each lower category of ARCS motivation model with the authors' original questionnaire. The lower category in a particular lesson that showed a statistically significant decrease from the previous lesson was identified, and the improvement strategies for the lower category were selected from the list of motivation strategies in the ARCS model. The teaching materials of programming education were then improved based on the strategy. In this research, five lower categories of particular lessons in a programming course were identified, and the teaching materials were improved. The improved teaching materials were used in the following programming course, and the effects of the improvements were seen in three lower categories out of the identified five lower categories. © 2013 IEEE.

DOI： 10.1109/FIE.2013.6684920

脳血流計測に基づくプログラム理解行動の定量化査読

中川尊雄, 亀井靖高, 上野秀剛, 門田暁人, 松本健一

第20回ソフトウェア工学の基礎ワークショップ (FOSE 2013) 191 - 196 2013年

ソフトウェア開発企業における開発タスクの自動計測査読

門田暁人, 上野秀剛, 荒木健史, 山田欣吾, 松本健一

第20回ソフトウェア工学の基礎ワークショップ (FOSE 2013) 257 - 262 2013年

Analyzing risk factors affecting project cost overrun 査読

Masateru Tsunoda, Akito Monden, Kenichi Matsumoto, Ryosuke Hatano, Toshihiko Nakano, Yutaka Fukuchi

Studies in Computational Intelligence 443 171 - 184 2013年

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）出版者・発行元：Springer Verlag

To prevent cost overrun of software projects, it is effective to predict the project which has high risk of cost overrun in the early phase of the project. In this paper, we clarify the risk factors which affect cost overrun. The risk factors are denoted by the questions such as Are the customer's project goals clear? The risk factors can be used as independent variables of the cost overrun prediction model. In the analysis, we used 290 projects' data collected in a software development company. The dataset was stratified by the project start time and the project size to eliminate their influence, and relationships between risk factors and cost overrun were analyzed with the correlation ratio. In addition, we focused risk factors which have strong and stable relationships to cost overrun, and analyzed them using the Sharpe ratio based index. As a result, we identified some risk factors which have relatively strong and stable relationships to cost overrun. After the analysis, we experimentally predicted cost overrun projects by collaborative filtering, using the risk factors as independent variables. The result suggested that cost overrun projects can be predicted by the risk factors. © 2013 Springer-Verlag Berlin Heidelberg.

DOI： 10.1007/978-3-642-32172-6_14

命令の乱雑さに基づくプログラム理解性の評価査読

二村阿美, 門田暁人, 玉田春昭, 神崎雄一郎, 中村匡秀, 松本健一

ソフトウェア工学の基礎XIX，ソフトウェア工学の基礎ワークショップFOSE2012 151 - 16- 2012年12月

実行時間に依存したプログラムの暗号化

坂口英司, 神崎雄一郎, 門田暁人

第11回情報科学技術フォーラム(FIT2012)講演論文集第1分冊 257 - 260 2012年9月

コードの「めずらしさ」に基づく保護機構のステルシネス考察

尾上栄浩, 神崎雄一郎, 門田暁人

第11回情報科学技術フォーラム(FIT2012)講演論文集第1分冊 261 - 266 2012年9月

Handling categorical variables in effort estimation 査読

Masateru Tsunoda, Sousuke Amasaki, Akito Monden

International Symposium on Empirical Software Engineering and Measurement 99 - 102 2012年

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

Background: Accurate effort estimation is the basis of the software development project management. The linear regression model is one of the widely-used methods for the purpose. A dataset used to build a model often includes categorical variables denoting such as programming languages. Categorical variables are usually handled with two methods: the stratification and dummy variables. Those methods have a positive effect on accuracy but have shortcomings. The other handing method, the interaction and the hierarchical linear model (HLM), might be able to compensate for them. However, the two methods have not been examined in the research area. Aim: giving useful suggestions for handling categorical variables with the stratification, transforming dummy variables, the interaction, or HLM, when building an estimation model. Method: We built estimation models with the four handling methods on ISBSG, NASA, and Desharnais datasets, and compared accuracy of the methods with each other. Results: The most effective method was different for datasets, and the difference was statistically significant on both mean balanced relative error (MBRE) and mean magnitude of relative error (MMRE). The interaction and HLM were effective in a certain case. Conclusions: The stratification and transforming dummy variables should be tried at least, for obtaining an accurate model. In addition, we suggest that the application of the interaction and HLM should be considered when building the estimation model. Copyright 2012 ACM.

DOI： 10.1145/2372251.2372267

Factors Affecting Maintenance Efficiency of Custom Made Software

Masateru Tsunoda, Akito Monden, Kenichi Matsumoto, Tomoki Oshino

Computer Software 29 ( 3 ) 157 - 163 2012年

記述言語：日本語掲載種別：研究論文（学術雑誌）

This paper aims to clarify factors related to software maintenance efficiency, to suppress maintenance cost of a user company. We defined maintenance amount per engineer (the number of maintained programs / the number of engineers) as maintenance efficiency, and analyzed the cross-company dataset of software maintenance collected by the Economic Research Association. A multiple regression analysis showed that the status of maintenance process standardization is the factor which can be controlled by the user and has relationship to maintenance efficiency. Maintenance process standardization is expected to make maintenance efficiency about 8 times better (at least about 2 times better, and at most about 35 times better).

実装者に依存しないプログラム規模尺度の構築の試み査読

門田暁人, 内田眞司, 松本健一

コンピュータソフトウェア 28 ( 4 ) 377 - 382 2011年11月

Java言語を対象とした実行時多様化の試み

玉田春昭, 神崎雄一郎, 門田暁人

2012年暗号と情報セキュリティシンポジウム(SCIS2012)予稿集 (講演番号4E2-3) 2011年10月

AN EMPIRICAL STUDY OF DEVELOPMENT VISUALIZATION FOR PROCUREMENT BY IN-PROCESS MEASUREMENT DURING INTEGRATION AND TESTING 査読

Yoshiki Mitani, Hiroyuki Yoshikawa, Seishiro Tsuruho, Akito Monden, Mike Barker, Ken-Ichi Matsumoto

INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING 21 ( 3 ) 367 - 388 2011年5月

記述言語：英語掲載種別：研究論文（学術雑誌）出版者・発行元：WORLD SCIENTIFIC PUBL CO PTE LTD

This study describes a new method of development visualization along with empirical evidence of its usefulness.
Typically, development activities such as program design, programming, and unit testing are not disclosed to the procurement organization (project owner). However, during integration and testing, various issues require collaboration between the procurement organization and developers. When this occurs, it is important to make the development process visible. Recent reports indicate the usefulness for project management of various in-process project measurements which allow visualization of the formerly invisible software project progress [1-6].
Based on this background, the authors investigated a case study where in-process measurement during the integration and test phase helped to make development issues visible. In this study, data obtained from the integration and testing phase were compared to a development process model.
This model was based on the author's experience, and provided a vivid picture of the development activity. By applying in-process measurements in collaboration during the integration test phase, the development activity was clearly visualized, and the procurement organization understood problems.

DOI： 10.1142/S0218194011005323

Guilty or Not Guilty: Using Clone Metrics to Determine Open Source Licensing Violations 査読

Akito Monden, Satoshi Okahara, Yuki Manabe, Kenichi Matsumoto

IEEE SOFTWARE 28 ( 2 ) 42 - 47 2011年3月

ソースコードレベルにおけるプログラムのカムフラージュ査読

神崎雄一郎, 門田暁人, 中村匡秀, 松本健一

コンピュータソフトウェア 28 ( 1 ) 1_300 - 1_305 2011年1月

A model of project supervision for process correction and improvement 査読

Masateru Tsunoda, Akito Monden, Tomoko Matsumura, Ken-Ichi Matsumoto

Proceedings - Joint Conference of the 21st International Workshop on Software Measurement, IWSM 2011 and the 6th International Conference on Software Process and Product Measurement, MENSURA 2011 151 - 159 2011年

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

Recently, software functional size becomes larger, and consequently, not only a software developer but also a software purchaser suffers considerable losses by software project failure. So avoiding project failure is also important for purchasers. Project supervision (monitoring and control) is expected for the purchaser to suppress risk of project failure. It is performed by sharing software metrics during the project for the purchaser to grasp the status of the project, and corrective actions are done based on analysis results of the metrics. Although there are some software measurement models, the models are not enough to describe how to confirm effects of project supervision. To acquire the effects certainly, the purchaser and the developer should quantitatively confirm whether the effects are acquired or not by project supervision. In addition, the models cannot represent corrective actions when symptoms of project failure are found. We propose the model for project supervision. The model explains planning, collecting data, transforming data, analyzing data, reaction toward found issues, and confirming effect of project supervision. With our model, project supervision can be described more rigorously. © 2011 IEEE.

DOI： 10.1109/IWSM-MENSURA.2011.31

An Empirical Study of Fault Prediction with Code Clone Metrics 査読

Yasutaka Kamei, Hiroki Sato, Akito Monden, Shinji Kawaguchi, Hidetake Uwano, Masataka Nagura, Kenichi Matsumoto, Naoyasu Ubayashi

Proceedings - Joint Conference of the 21st International Workshop on Software Measurement, IWSM 2011 and the 6th International Conference on Software Process and Product Measurement, MENSURA 2011 55 - 61 2011年

An Analysis of Cost-Overrun Projects Using Financial Data and Software Metrics 査読

Hidetake Uwano, Yasutaka Kamei, Akito Monden, Ken-ichi Matsumoto

Proceedings - Joint Conference of the 21st International Workshop on Software Measurement, IWSM 2011 and the 6th International Conference on Software Process and Product Measurement, MENSURA 2011 227 - 232 2011年

ソフトウェア保護機構を構成するコードの特徴評価の試み

神崎雄一郎, 門田暁人

コンピュータセキュリティシンポジウム2011(CSS2011)予稿集 827 - 832 2011年

Empirical evaluation of cost overrun prediction with imbalance data 査読

Masateru Tsunoda, Akito Monden, Jun-Ichiro Shibata, Ken-Ichi Matsumoto

Proceedings - 2011 10th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2011 415 - 420 2011年

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

To prevent cost overrun of software projects, it is necessary for project managers to identify projects which have high risk of cost overrun in the early phase. So far, discriminant methods such as linear discriminant analysis and logistic regression have been used to predict cost overrun projects. However, accuracy of discriminant methods often becomes low when a dataset used for predict is imbalanced, i.e. there exists a large difference between the number of cost overrun projects and non cost overrun projects. In this paper, we compared accuracy of linear discriminant analysis, logistic regression, classification tree, Mahalanobis-Taguchi method, and collaborative filtering, by changing the percentage of cost overrun projects in the dataset. The result showed that collaborative filtering was highest accuracy among five methods. When the number of cost overrun projects and non cost overrun was balanced in the dataset, linear discriminant analysis was second highest accuracy, and when it was not balanced, Mahalanobis-Taguchi method was second highest among five methods. © 2011 IEEE.

DOI： 10.1109/ICIS.2011.71

On building programmer-independent program size measure

Akito Monden, Ken-Ichi Matsumoto, Shinji Uchida

Computer Software 28 ( 4 ) 377 - 382 2011年

記述言語：日本語掲載種別：研究論文（学術雑誌）

Source Lines of Code (SLOC) is a most basic and widely-used program size measure in software project management and/or quality assurance although it greatly depends on a programmer who implemented the program. To build a programmer-independent program size measure, this paper analyzed 9 independentlybuilt C programs of a same functional specification, and found that 3 base measures (the number of tokens, tokens of code clones, and function parameters) are useful to eliminate programmer-dependent aspects of SLOC. A new size measure called Adjusted Length of Code (ALOC) built upon these 3 base measures showed that variations of size in ALOC was at most 1.22 times difference among 9 programs while SLOC showed 3.16 times difference. Furthermore, ALOC showed at most 1.60 times difference among another 6 independently-built programs of an alternative specification while SLOC showed 4.66 times difference among these programs. These results suggest that the new measure ALOC can reduce the programmer-dependent aspects of program size and can be used as a better size measure in project management.

Program camouflage at the source code level

Yuichiro Kanzaki, Akito Monden, Ken-Ichi Matsumoto, Masahide Nakamura

Computer Software 28 ( 1 ) 300 - 305 2011年

記述言語：日本語掲載種別：研究論文（学術雑誌）

This paper proposes a program camouflage method to protect software from reverse engineering. The user of the proposed method only has to construct a piece of fake source code by modifying a piece of original source code. When an attacker statically analyzes the program that is protected by the method, the program looks like the fake code (with self-modification code fragments). However, when the program is executed, the original code is performed. The proposed method is effective especially in hiding secret instructions/data from static analysis, and preventing the extraction and reuse of secret parts in the program.

A Software Protection Method based on Time-sensitive Code and Self-modification Mechanism 査読

Yuichiro Kanzaki, Akito Monden

Proc. of the the IASTED International Conference on Software Engineering and Applications (IASTED SEA 2010) 325 - 331 2010年11月

協調フィルタリングを用いたソフトウェア技術者向け開発技術推薦の試み査読

角田雅照, 秋永知宏, 引地一将, 大杉直樹, 柿元健, 門田暁人, 松本健一

教育システム情報学会誌 27 ( 4 ) 316 - 326 2010年11月

An Analysis of Developer Metrics for Fault Prediction 査読

Shinsuke Matsumoto, Yasutaka Kamei, Akito Monden, Ken-ichi Matsumoto, Masahide Nakamura

Proc. 6th International Conference on Predictive Models in Software Engineering (PROMISE2010) USB - USB 2010年9月

ソフトウェア開発における適正工期に関する分析査読

戸田航史, 門田暁人, 松本健一

経済調査研究レビュー 7 ( 7 ) 38 - 46 2010年9月

開発者メトリクスに基づくソフトウェア信頼性の分析査読

?本真佑, 亀井靖高, 門田暁人, 松本健一

電子情報通信学会論文誌 J93-D ( 8 ) 1576 - 1589 2010年8月

欠損値処理法を用いた工数予測におけるデータ件数と予測精度の関係

田村晃一, 門田暁人, 松本健一

コンピュータソフトウェア 27 ( 2 ) 100 - 105 2010年5月

An effect of data size on performance of effort estimation with missing data techniques

Koichi Tamura, Akito Monden, Ken-Ichi Matsumoto

Computer Software 27 ( 2 ) 100 - 105 2010年5月

記述言語：日本語掲載種別：研究論文（学術雑誌）

To deal with missing data in historical project data sets is an important issue for constructing effort estimation models. Past researches have showed that the similarity-based imputation showed high estimation performance. However, it is unclear if it is still effective for small data sets. In this paper, using multiple data sets with different project cases each extracted from ISBSG data set, we present an experimental evaluation among four methods: mean imputation, similarity-based imputation, row-column deletion and pairwise deletion. The result showed that the row-column deletion showed better performance than similarity-based imputation for data sets not exceeding 220 cases.

粗粒度モジュールに対するバグ密度予測の精度評価

亀井靖高, 本真佑, 門田暁人, 松本健一

電子情報通信学会技術研究報告 109 ( 456 ) 145 - 150 2010年3月

Using search-based metric selection and oversampling to predict fault prone modules 査読

R. Vivanco, Y. Kamei, A. Monden, K. Matsumoto, D. Jin

Canadian Conference on Electrical and Computer Engineering 2010年

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

Predictive models can be used in the detection of fault prone modules using source code metrics as inputs for the classifier. However, there exist numerous structural measures that capture different aspects of size, coupling and complexity. Identifying a metric subset that enhances the performance for the predictive objective would not only improve the model but also provide insights into the structural properties that lead to problematic modules. Another difficulty in building predictive models comes from unbalanced datasets, which are common in empirical software engineering as a majority of the modules are not likely to be faulty. Oversampling attempts to overcome this deficiency by generating new training instances from the faulty modules. We present the results of applying searchbased metric selection and oversampling to three NASA datasets. For these datasets, oversampling results in the largest improvement. Metric subset selection was able to reduce up to 52% of the metrics without decreasing the predictive performance gained with oversampling. © 2010 IEEE.

DOI： 10.1109/CCECE.2010.5575249

原価率とプロジェクトメトリクスに着目したソフトウェア開発プロジェクトの特徴分析査読

上野秀剛, 亀井靖高, 門田暁人, 松本健一

プロジェクトマネジメント学会誌 12 ( 5 ) 25 - 30 2010年

クローンメトリクスを用いたFault-Prone モジュール判別の追実験査読

亀井靖高, 左藤裕紀, 門田暁人, 川口真司, 上野秀剛, 名倉正剛, 松本健一

電子情報通信学会論文誌 93-D ( 4 ) 544 - 547 2010年

Revisiting Common Bug Prediction Findings Using Effort Aware Models 査読

Yasutaka Kamei, Shinsuke Matsumoto, Akito Monden, Ken-ichi Matsumoto, Bram Adams, Ahmed E. Hassan

In Proceedings of The 26th IEEE International Conference on Software Maintenance (ICSM2010) 1 - 10 2010年

FIT data selection based on project features for software effort estimation models

Koji Toda, Akito Monden, Ken-Ichi Matsumoto

Proceedings of the 6th IASTED International Conference on Advances in Computer Science and Engineering, ACSE 2010 82 - 88 2010年

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

To construct a better multivariate regression model for software effort estimation, this paper proposes a method to automatically select projects as fit data (a dataset for model construction) from a given project data set based on an estimation target's features. As a result of an experimental evaluation using the ISBSG data set, which is one of the most commonly used project data sets for effort estimation studies, the proposed method showed better estimation performance than the conventional method (of constructing a model using all project data). The median of MRE (Magnitude of Relative Error) was improved from 0.552 to 0.383, and also the median of MER (Magnitude of Error Relative) was improved from 0.457 to 0.381. While regression models were often constructed using all available project data, this paper showed the necessity of fit data selection, and showed that the proposed method is one of the effective and systematic means of doing the selection.

The effect of log transformation in multivariate liner regression models for software effort prediction

Monden, A., Kobayashi, K.

Computer Software 27 ( 4 ) 2010年

ソフトウェアタグを用いた設計文書メトリクスからの低品質モジュールの予測

片山真一, 大蔵君治, 伏田享平, 川口真司, 名倉正剛, 門田暁人, 飯田元

電子情報通信学会技術研究報告 109 ( 343 ) 67 - 72 2009年12月

記述言語：日本語掲載種別：研究論文（研究会，シンポジウム資料等）出版者・発行元：電子情報通信学会

高品質なソフトウェアを作成するためには,早期段階で多くの不具合を含む可能性のある低品質モジュールを特定することが重要となる.そのために,線形判別分析,ロジスティック回帰分析,ニューラルネットワークなど様々なモデルが多数提案されている.しかし,従来手法では主にソースコードから計測されたメトリクスを用いていたため,予測のタイミングが実装工程完了後に限定されていた.本研究ではソフトウェアタグに含まれる設計文書メトリクスを用いて,低品質モジュールの予測を試みる.設計文書メトリクスを利用することで設計工程完了時に予測を行い,実装工程における品質改善活動に寄与することができる.重回帰分析・遺伝的プログラミングを適用した結果,ランダムな手法に比べて高い精度で低品質モジュールを特定することができた.

Software development productivity of Japanese enterprise applications 査読

Tsunoda, M., Monden, A., Yadohisa, H., Kikuchi, N., Matsumoto, K.

Information Technology and Management 10 ( 4 ) 193 - 205 2009年12月

開発者メトリクスを用いたソフトウェア信頼性の分析査読

?本真佑, 亀井靖高, 門田暁人, 松本健一

ソフトウェア工学の基礎ワークショップ FOSE2009 35 207 - 214 2009年11月

ソフトウェア開発工数予測のためのフィットデータ選定方法査読

戸田航史, 門田暁人, 松本健一

情報処理学会論文誌 50 ( 11 ) 2699 - 2709 2009年11月

ソフトウェアバグと変数名の関係の分析

山本博之, 亀井靖高, 本真佑, 門田暁人, 松本健一

電子情報通信学会技術研究報告 109 ( 307 ) 67 - 71 2009年11月

メトリクス値の標準化によるFault-Proneモジュール判別モデルの精度向上

藏本達也, ?本真佑, 亀井靖高, 門田暁人, 松本健一

情報処理学会研究報告 2009-SE-166 ( 10 ) 2009年10月

ソフトウェア開発プロファイルデータの相関ルール分析査読

森崎修司, 木村早苗, 門田暁人, 松本健一

経済調査研究レビュー 5 ( 5 ) 88 - 94 2009年9月

工数予測における類似性に基づく欠損値補完法の実験的評価査読

田村晃一, 柿元健, 戸田航史, 角田雅照, 門田暁人, 松本健一, 大杉直樹

コンピュータソフトウェア 26 ( 3 ) 44 - 55 2009年7月

Fault-proneモジュール判別におけるテスト工数割当てとソフトウェア信頼性のモデル化査読

柿元健, 門田暁人, 亀井靖高, 柗本真佑, 松本健一, 楠本真二

情報処理学会論文誌 50 ( 7 ) 1716 - 1724 2009年7月

記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：一般社団法人情報処理学会

ソフトウェアの信頼性確保を目的として,faultの有無を推定するモデル(faultproneモジュール判別モデル)が数多く提案されている.しかし,どのようにテスト工数を割り当てるのかといったfault-proneモジュール判別モデルの判別結果の利用方法についての議論はほとんどされておらず,信頼性確保の効果は不明確であった.そこで,本論文では,faultの有無の判別,テスト工数の割当て,ソフトウェア信頼性の関係のモデル化を行い,TEAR(Test Effort Allocation and software Reliability)モデルを提案する.TEARモデルにより,与えられた総テスト工数の枠内で,ソフトウェア信頼性が最大となるような(モジュールごとの)テスト工数割当ての計画立案が可能となる.TEARモデルを用いてシミュレーションを行った結果,推定される判別精度が高い,もしくは,fault含有モジュールが少ない場合には,fault-proneモジュールに多くのテスト工数を割り当てた方がよく,推定される判別精度が低い,もしくは,fault含有モジュールを多く含む場合には,判別結果に基づいてテスト工数を割り当てるべきではないことが分かった.

ソフトウェア開発費に影響する要因の分析査読

角田雅照, 門田暁人, 松本健一

経済調査研究レビュー ( 4 ) 64 - 76 2009年3月

ソフトウェアコンポーネント推薦における協調フィルタリングの効果査読

亀井靖高, 角田雅照, 柿元健, 大杉直樹, 門田暁人, 松本健一

情報処理学会論文誌 50 ( 3 ) 1139 - 1143 2009年3月

記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：一般社団法人情報処理学会

本論文では,汎用性の高い/低いコンポーネントに対する,協調フィルタリングを用いたコンポーネント推薦(亀井ら,2006年)の効果を明らかにするために,2つの仮説,(1) 汎用性の高いコンポーネントに対する推薦精度が従来手法(ランダム推薦法,平均値に基づく推薦法)より高い,(2) 汎用性の低いコンポーネントに対する推薦精度が従来手法より高い,を実験的に検証した.推薦精度を調べるために,29件のプロジェクト(使用されているコンポーネントの総数は2,558個)を用いて評価実験を行った.その結果,仮説(2) が支持され,協調フィルタリングを用いたコンポーネント推薦は汎用性の低いコンポーネントに対して特に効果がある(NDPMの中央値が0.55から0.33へ改善した)ことが分かった.

生産性要因に基づいて層別されたソフトウェア開発工数見積りモデル査読

角田雅照, 門田暁人, 松本健一, 橋昭彦

SEC journal 5 ( 1 ) 58 - 67 2009年3月

記述言語：日本語出版者・発行元：独立行政法人情報処理推進機構ソフトウェア高信頼化センター

重回帰分析により工数見積りモデルを構築する場合、プロジェクトを層別したデータセットを作成し、層別ごとに見積りモデルを構築することが望ましい。本稿では、生産性と関連が強いプロジェクト特性を用いて財団法人経済調査会が収集した153プロジェクトから43プロジェクトの実績データを分析した結果と見積もり精度の向上結果について報告する。

DOI： 10.11186/secjournal.5.58

その他リンク： https://jlc.jst.go.jp/DN/JALC/00329157843?from=CiNii

ソースコードと設計書を対象としたレビューにおける開発者の能力の比較査読

上野秀剛, 門田暁人, 松本健一

ソフトウェア信頼性研究会第5回ワークショップ 91 - 93 2009年

不具合履歴に基づくソフトウェアIV&V活動の定量的見える化手法査読

まつ本真佑, 上野秀剛, 門田暁人, 松本健一, 片平真史, 神武直彦, 宮本祐子, 氏原頌悟, 吉川茂雄

電子情報通信学会論文誌 J92-D ( 12 ) 2195 - 2206 2009年

ブレークポイント使用履歴に基づくデバッグ行動の分析査読

吉村巧朗, 亀井靖高, 上野秀剛, 門田暁人, 松本健一

電子情報通信学会技術研究報告. 知能ソフトウェア工学 109 ( 307 ) 85 - 89 2009年

An empirical study of the feedback of the in-process Measurement in a Japanese Consortium-type Software Project

Yoshiki Mitani, Tomoko Matsumura, Katsuro Inoue, Mike Barker, Akito Monden, Ken-Ichi Matsumoto

Proceedings of the 21st International Conference on Software Engineering and Knowledge Engineering, SEKE 2009 631 - 636 2009年

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

Recent research has clarified the usefulness of in-process measurement of a software development project. Past research showed the need for technology to perform in-process measurement of a software development project and utilize the results. Research continues on methods of measurement, analysis, visualization, and feedback of the results, suited to different software development structures. In this paper, the authors present an empirical study focused on requirements for feedback of measurement results. Japanese industry generally uses a hierarchical industrial structure to develop large information systems. In such an environment, effective feedback of measurement results requires different approaches from those that apply to homogenous and flat development organizations. This research illustrates conditions for effective feedback in a hierarchically structured development organization based on actual measurements.

A Proposal of Derivation Methods of Fp Transformation Formulas 査読

Masateru Tsunoda, Shinsuke Matsumoto, Akito Monden, Ken-ichi Matsumoto

In Proc. of Workshop on Accountability and Traceability in Global Software Engineering (ATGSE2008) 25 - 26 2008年12月

Cost Effective IV&V Planning Activity Derived from Experiences on Jaxa's Spacecraft Projects 査読

Tsutomu Matsumoto, Shinsuke Matsumoto, Hidetake Uwano, Akito Monden, Yuko Miyamoto, Shogo Ujihara, Naohiko Kohtake, Masafumi Katahira

ESA Workshop on Avionics Data, Control and Software Systems (ADCSS2008) 2008年10月

A Goal-Oriented Approach to Software Obfuscation 査読

Hiroki Yamauchi, Akito Monden, Masahide Nakamura, Haruaki Tamada, Yuichiro Kanzaki, Ken-ichi Matsumoto

International Journal of Computer Science and Network Security 8 ( 9 ) 59 - 71 2008年9月

ソフトウェア保守業務の現状分析査読

角田雅照, 門田暁人, 松本健一

経済調査研究レビュー ( 3 ) 46 - 59 2008年9月

規模・工期・要員数・工数の関係の定量的導出査読

柿元健, 門田暁人, 角田雅照, 松本健一, 菊地奈穂美

SEC journal 4 ( 2 ) 6 - 11 2008年9月

プロジェクト類似性に基づく工数見積りに適した変数選択法

瀧進也, 戸田航史, 門田暁人, 柿元健, 角田雅照, 大杉直樹, 松本健一

情報処理学会論文誌 49 ( 7 ) 2338 - 2348 2008年7月

記述言語：日本語出版者・発行元：情報処理学会

ソフトウェア開発における多変数の実績データを用いた工数見積りでは，その精度を高めるうえで，見積りに不要な変数を除去することが必須となる．しかし，近年注目されているプロジェクト間の類似性に基づく工数見積り方法（analogy-based法）においては，その特性を活かした変数選択法が提案されていない．本論文では，「説明変数（プロジェクト特性）の値が似ているプロジェクトどうしは工数も似た値をとる」というanalogy-based法の考え方を踏襲し，目的変数である工数との相関係数が低い説明変数を除去することで，説明変数の値が似ていれば目的変数の値も似ているという状態を保つように変数選択する方法Correlation Threshold based Selection（CTS）を提案する．ソフトウェア開発企業で収集された3種類の開発実績データセットを用いた評価実験の結果，CTSは，従来手法であるステップワイズ変数選択法と比べて計算量が小さく，特に，カテゴリ変数の数が少ない場合に，安定して精度を改善することができた．Analogy-based estimation methods have been studied for deriving an accurate effort estimate required to complete a project; however, few studies have focused on their variable selection methods. Here, variables to be selected are predictor variables (e.g. development size and development duration, etc.) related to an objective variable (effort). In this paper, we propose Correlation Threshold based Selection (CTS) method that exploits the basic concept of analogy-based estimation where efforts are similar if predictor variables are similar. The proposed method requires few amount of calculation while it can accurately exclude variables that do not correlate with the effort. This paper experimentally evaluated the effectiveness of the proposed method by using three data sets collected from software development companies. The result showed that the proposed method provided high estimation accuracy for projects having larger number of predictor variables.

プロジェクト類似性に基づく工数見積りに適した変数選択法査読

瀧進也, 戸田航史, 門田暁人, 柿元健, 角田雅照, 大杉直樹, 松本健一

情報処理学会論文誌 49 ( 7 ) 2338 - 2348 2008年7月

記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：一般社団法人情報処理学会

ソフトウェア開発における多変数の実績データを用いた工数見積りでは,その精度を高めるうえで,見積りに不要な変数を除去することが必須となる.しかし,近年注目されているプロジェクト間の類似性に基づく工数見積り方法(analogy-based法)においては,その特性を活かした変数選択法が提案されていない.本論文では,「説明変数(プロジェクト特性)の値が似ているプロジェクトどうしは工数も似た値をとる」というanalogy-based法の考え方を踏襲し,目的変数である工数との相関係数が低い説明変数を除去することで,説明変数の値が似ていれば目的変数の値も似ているという状態を保つように変数選択する方法Correlation Threshold based Selection(CTS)を提案する.ソフトウェア開発企業で収集された3種類の開発実績データセットを用いた評価実験の結果,CTSは,従来手法であるステップワイズ変数選択法と比べて計算量が小さく,特に,カテゴリ変数の数が少ない場合に,安定して精度を改善することができた.

情報システム運用業務の現状分析査読

角田雅照, 門田暁人, 松本健一

経済調査研究レビュー ( 2 ) 100 - 110 2008年3月

Fault-proneモジュール判別における外れ値除去法の比較査読

?本真佑, 亀井靖高, 門田暁人, 松本健一

情報処理学会論文誌 49 ( 3 ) 1341 - 1351 2008年3月

Introducing Dynamic Name Resolution Mechanism for Obfuscating System-Defined Names in Programs 査読

Haruaki Tamada, Masahide Nakamura, Akito Monden, Ken-ichi Matsumoto

Proc. of the IASTED International Conference on Software Engineering (IASTED SE 2008) 125 - 130 2008年2月

プロセス改善のためのソフトウェア開発タスク計測システム査読

門田暁人, 亀井靖高, 上野秀剛, 松本健一

第15回ソフトウェア工学の基礎ワークショップ (FOSE 2008) 123 - 128 2008年

コードクローンの長さとソフトウェア信頼性の関係の分析査読

左藤裕紀, 亀井靖高, 上野秀剛, 川口真司, 名倉正剛, 門田暁人, 松本健一, 飯田元

電子情報通信学会技術研究報告. ソフトウェアサイエンス 108 ( 242 ) 43 - 48 2008年

Fit data selection for software effort estimation models. 査読

Koji Toda, Akito Monden, Ken-ichi Matsumoto

Proceedings of the Second International Symposium on Empirical Software Engineering and Measurement, ESEM 2008, October 9-10, 2008, Kaiserslautern, Germany 360 - 361 2008年

A Hybrid Faulty Module Prediction Using Association Rule Mining and Logistic Regression Analysis 査読

Yasutaka Kamei, Akito Monden, Shuji Morisaki, Ken-ichi Matsumoto

ESEM'08: PROCEEDINGS OF THE 2008 ACM-IEEE INTERNATIONAL SYMPOSIUM ON EMPIRICAL SOFTWARE ENGINEERING AND MEASUREMENT 279 - 281 2008年

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）出版者・発行元：ASSOC COMPUTING MACHINERY

This paper proposes a fault-prone module prediction method that combines association rule mining with logistic regression analysis. In the proposed method, we focus on three key measures of interestingness of an association rule (support, confidence and lift) to select useful rules for the prediction. If a module satisfies the premise (i.e. the condition in the antecedent part) of one of the selected rules, the module is classified by the rule as either fault-prone or not. Otherwise, the module is classified by the logistic model. We experimentally evaluated the prediction performance of the proposed method with different thresholds of each rule interestingness measure (support, confidence and lift) using a module set in the Eclipse project, and compared it with three well-known fault-proneness models (logistic regression model, linear discriminant model and classification tree). The result showed that the improvement of the F1-value of the proposed method was 0.163 at maximum compared to conventional models.

An Over-sampling Method for Analogy-based Software Effort Estimation 査読

Yasutaka Kamei, Jacky Keung, Akito Monden, Ken-ichi Matsumoto

ESEM'08: PROCEEDINGS OF THE 2008 ACM-IEEE INTERNATIONAL SYMPOSIUM ON EMPIRICAL SOFTWARE ENGINEERING AND MEASUREMENT 312 - + 2008年

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）出版者・発行元：ASSOC COMPUTING MACHINERY

This paper proposes a novel method to generate synthetic project cases and add them to a fit dataset for the purpose of improving the performance of analogy-based software effort estimation. The proposed method extends conventional over-sampling method, which is a preprocessing procedure for n-group classification problems, which makes it suitable for any imbalanced dataset to be used in analogy-based system. We experimentally evaluated the effect of the over-sampling method to improve the performance of the analogy-based software effort estimation by using the Desharnais dataset. Results show significant improvement to the estimation accuracy by using our approach.

Are Good Code Reviewers Also Good at Design Review? 査読

Hidetake Uwano, Akito Monden, Ken-ichi Matsumoto

ESEM'08: PROCEEDINGS OF THE 2008 ACM-IEEE INTERNATIONAL SYMPOSIUM ON EMPIRICAL SOFTWARE ENGINEERING AND MEASUREMENT 351 - 353 2008年

Dresrem 2: An Analysis System for Multi-Document Software Review Using Reviewers' Eye Movements 査読

Hidetake Uwano, Akito Monden, Ken-ichi Matsumoto

Proceedings - The 3rd International Conference on Software Engineering Advances, ICSEA 2008, Includes ENTISY 2008: International Workshop on Enterprise Information Systems 177 - 183 2008年

Analyzing factors of defect correction effort in a multi-vendor information system development 査読

Tomoko Matsumura, Shuji Morisaki, Akito Monden, Ken-Ichi Matsumoto

Journal of Computer Information Systems 49 ( 1 ) 73 - 80 2008年

記述言語：英語掲載種別：研究論文（学術雑誌）出版者・発行元：International Association for Computer Information Systems

This paper describes an empirical study to reveal factors influencing defect correction effort in software development. In the study we collected various attributes (metrics) of defects found in a typical medium-scale, multi-vendor information system development project in Japan over a six-month period. We then statistically analyzed the relationship between the defects' attributes and the correction effort. The analysis confirmed the well-known principle "defects are the more expensive the later they are detected" by revealing that defects detected in the "system test" were 4.88 times more expensive than those detected in the "coding/unit test". Another principle "defects are more expensive the longer they survive in software" was also confirmed by revealing that defects, which survived two or more development phases, were 4.44 times more expensive than those detected immediately. We also identified other factors, such as defect reproducibility, severity, and the cause of detection delay, that had a significant influence on the correction effort.

DOI： 10.1080/08874417.2008.11645308

異なるプロジェクト間におけるFault-Proneモジュール判別の精度評価査読

木浦幹雄, ?本真佑, 亀井靖高, 門田暁人, 松本健一

ソフトウェア工学の基礎XIV 日本ソフトウェア科学会 FOSE2007 131 - 136 2007年11月

APIライブラリ名隠ぺいのための動的名前解決を用いた名前難読化査読

玉田春昭, 中村匡秀, 門田暁人, 松本健一

電子情報通信学会論文誌D J90-D ( 10 ) 2723 - 2735 2007年10月

記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：一般社団法人電子情報通信学会

名前難読化とは,プログラム中の名前(識別子)を別の名前に付け替えることで,プログラムを理解しづらいものにするソフトウェア保護手法である.従来の名前難読化手法は,各名前を静的に別の文字列で置換するものであり,プログラム中に現れる任意のユーザ定義の名前を隠ぺいできる.しかしながら,従来手法を用いてシステム定義の名前(標準ライブラリやAPIの呼出し等)を難読化することは,プログラムの移植性を著しく低下させるため,現実的に不可能である.そこで本論文では,オブジェクト指向言語を対象に,システム定義の名前をも隠ぺい可能な新たな名前難読化手法を提案する.具体的には,プログラム中の名前使用部分をあらかじめ暗号化しておき,実行時に名前を復号して当該処理を実行する,動的名前解決の仕組みを導入する.提案手法では,オブジェクト指向言語のリフレクション機構を用いて,クラスの参照,メソッド呼出し,フィールドの参照・代入に現れる任意の名前を動的解決する方法を実現している.また,提案手法をJavaプログラム用に実装し評価実験を行った.ある実用プログラムへの適用では,4.11倍の性能劣化でプログラム中のすべてのクラス名,メソッド名,フィールド名(計10,580回出現)を難読化できることが分かった.

Exploiting Eye Movements for Evaluating Reviewer's Performance in Software Review 査読

Hidetake Uwano, Masahide Nakamura, Akito Monden, Ken-ichi Matsumoto

IEICE Transactions on Fundamentals E90-A ( 10 ) 317 - 328 2007年10月

記述言語：英語掲載種別：研究論文（学術雑誌）出版者・発行元：一般社団法人電子情報通信学会

This paper proposes to use eye movements to characterize the performance of individuals in reviewing software documents. We design and implement a system called DRESREM, which measures and records eye movements of document reviewers. Based on the eye movements captured by eye tracking device, the system computes the line number of the document that the reviewer is currently looking at. The system can also record and play back how the eyes moved during the review process. To evaluate the effectiveness of the system we conducted an experiment to analyze 30 processes of source code review (6 programs, 5 subjects) using the system. As a result, we have identified a particular pattern, called scan, in the subject's eye movements. Quantitative analysis showed that reviewers who did not spend enough time on the scan took more time to find defects on average.

DOI： 10.1093/ietfec/e90-a.10.2290

ソフトウェア開発工数積算のための生産性分析査読

角田雅照, 門田暁人, 松本健一

経済調査研究レビュー ( 1 ) 114 - 119 2007年9月

Comparison of Outlier Detection Methods in Fault-Proneness Models 査読

Shinsuke Matsumoto, Yasutaka Kamei, Akito Monden, Ken-ichi Matsumoto

Proceedings of the 1st International Symposium on Empirical Software Engineering and Measurement (ESEM2007) 461 - 463 2007年9月

Fault-proneモジュール判別におけるサンプリング法適用の効果(システム評価・管理技術,<特集>ソフトウェア工学の理論と実践) 査読

亀井靖高, 柗本真佑, 柿元健, 門田暁人, 松本健一

情報処理学会論文誌 48 ( 8 ) 2651 - 2662 2007年8月

記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：一般社団法人情報処理学会

Fault-proneモジュール(バグを含みやすいモジュール)判別モデルの性能向上を目的として,サンプリング法(オーバ/アンダサンプリング)適用の効果を実験的に評価する.サンプリング法は,2群の判別モデル構築に用いるフィットデータに対する前処理であり,2群のケース数の偏りを解消することにより,少数派の群の判別精度の向上が期待される.ただし,従来,ソフトウェア工学分野への適用事例は報告されていない.実験では,日本のある企業で開発されたレガシーソフトウェアから得られた2つのモジュール群(バグモジュール含有率5.67%,および13.16%)を題材として,4種類のサンプリング法(ROS,SMOTE,RUS,TLUS)適用の効果を,4種類の判別モデル(線形判別分析,ロジスティック回帰分析,ニューラルネット,分類木)について評価した.実験の結果,分類木以外の判別モデルに対してはサンプリング法の効果があること(F1値の向上),および,TLUSは他の3つのサンプリング法よりも効果が小さいことが分かった.また,分類木以外の判別モデルにTLUS以外のサンプリング法を適用した場合,F1値の向上は最小0.078,最大0.303,平均0.146であった.

他プロジェクトの実績データに基づくFault-Proneモジュール判別の試み

木浦幹雄, ?本真佑, 亀井靖高, 門田暁人, 松本健一

ソフトウェア信頼性研究会第4回ワークショップ 45 - 53 2007年7月

Fault-Proneモジュール判別モデルに対する外れ値除去法の適用効果

?本真佑, 亀井靖高, 門田暁人, 松本健一

情報処理学会研究報告 2007-SE-155 ( 33 ) 49 - 56 2007年3月

記述言語：日本語掲載種別：研究論文（研究会，シンポジウム資料等）出版者・発行元：一般社団法人情報処理学会

本稿ではfault-proneモジュール判別モデルに対する外れ値除去法の効果を実験的に明らかにする．外れ値除去法とは，標本の中から外れ値を検出・除去する方法であり，判別モデル構築の前処理に用いることができる．実験では３つの代表的な判別モデル（線形判別分析，ロジステイック回帰分析，分類木）に対して，２つの外れ値除去法(ＭＯＡ，ＬＯＦＭ）を適用した場合の計６通りについて比較を行った．実験の結果，外れ値除去法を適用しない場合と比べて，ＭＯＡを適用した場合は，Ｆ１値が最小0.04，最大0.17 平均０．１０向上し，全ての判別モデルにおいて判別精度が向上した．一方，LOFMを適用した場合は，最小-001，最大004 平均0.01変化し，判別モデルによってはＦ１値が向上したものの，その幅はＭＯＡと比べて小さかった．In this paper, we experimentally evaluate outlier detection methods, which detect data points that are far away from others in a data set, in terms of improving the pre diction performance of fault-prone module detection models. In the experiment, we compared two outlier detection methods (MOA, LOFM) each applied to three well-known fault-prone module detection models (LDA, LRA, CT). The result showed that MOA improved Fl-values of all fault-proneness models (0.04 at minimum, 0.17 at maximum and 0.10 at mean) while improvements by LOFM were relatively small (-0.01 at minimum, 0.04 at maximum and 0.01 at mean).

その他リンク： http://id.nii.ac.jp/1001/00021154/

Defect data analysis based on extended association rule mining 査読

Shuji Morisaki, Akito Monden, Tomoko Matsumura, Haruaki Tamada, Ken-Ichi Matsumoto

Proceedings - ICSE 2007 Workshops: Fourth International Workshop on Mining Software Repositories, MSR 2007 2007年

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

This paper describes an empirical study to reveal rules associated with defect correction effort. We defined defect correction effort as a quantitative (ratio scale) variable, and extended conventional (nominal scale based) association rule mining to directly handle such quantitative variables. An extended rule describes the statistical characteristic of a ratio or interval scale variable in the consequent part of the rule by its mean value and standard deviation so that conditions producing distinctive statistics can be discovered. As an analysis target, we collected various attributes of about 1,200 defects found in a typical medium-scale, multi-vendor (distance development) information system development project in Japan. Our findings based on extracted rules include: (1)Defects detected in coding/unit testing were easily corrected (less than 7% of mean effort) when they are related to data output or validation of input data. (2)Nevertheless, they sometimes required much more effort (lift of standard deviation was 5.845) in case of low reproducibility, (3)Defects introduced in coding/unit testing often required large correction effort (mean was 12.596 staff-hours and standard deviation was 25.716) when they were related to data handing. From these findings, we confirmed that we need to pay attention to types of defects having large mean effort as well as those having large standard deviation of effort since such defects sometimes cause excess effort. © 2007 IEEE.

DOI： 10.1109/MSR.2007.5

ソースコードの圧縮性とコードクローンの関係の分析査読

左藤裕紀, 亀井靖高, 上野秀剛, 川口真司, 門田暁人, 松本健一

日本ソフトウェア科学会第24回大会 2007年

Mining Quantitative Rules in a Software Project Data Set

Morisaki Shuji, Monden Akito, Tamada Haruaki, Matsumura Tomoko, Matsumoto Ken-ichi

Information and Media Technologies 2 ( 4 ) 999 - 1008 2007年

記述言語：英語出版者・発行元：Information and Media Technologies 編集運営会議

This paper proposes a method to mine rules from a software project data set that contains a number of quantitative attributes such as staff months and SLOC. The proposed method extends conventional association analysis methods to treat quantitative variables in two ways: (1) the distribution of a given quantitative variable is described in the consequent part of a rule by its mean value and standard deviation so that conditions producing the distinctive distributions can be discovered. To discover optimized conditions, (2) quantitative values appearing in the antecedent part of a rule are divided into contiguous fine-grained partitions in preprocessing, then rules are merged after mining so that adjacent partitions are combined. The paper also describes a case study using the proposed method on a software project data set collected by Nihon Unisys Ltd. In this case, the method mined rules that can be used for better planning and estimation of the integration and system testing phases, along with criteria or standards that help with planning of outsourcing resources.

DOI： 10.11185/imt.2.999

Mining Quantitative Rules in a Software Project Data Set

Morisaki Shuji, Monden Akito, Tamada Haruaki, Matsumura Tomoko, Matsumoto Ken-ichi

IPSJ Digital Courier 3 518 - 527 2007年

記述言語：英語出版者・発行元：Information Processing Society of Japan

This paper proposes a method to mine rules from a software project data set that contains a number of quantitative attributes such as staff months and SLOC. The proposed method extends conventional association analysis methods to treat quantitative variables in two ways: (1) the distribution of a given quantitative variable is described in the consequent part of a rule by its mean value and standard deviation so that conditions producing the distinctive distributions can be discovered. To discover optimized conditions, (2) quantitative values appearing in the antecedent part of a rule are divided into contiguous fine-grained partitions in preprocessing, then rules are merged after mining so that adjacent partitions are combined. The paper also describes a case study using the proposed method on a software project data set collected by Nihon Unisys Ltd. In this case, the method mined rules that can be used for better planning and estimation of the integration and system testing phases, along with criteria or standards that help with planning of outsourcing resources.

DOI： 10.2197/ipsjdc.3.518

協調フィルタリングに基づく工数見積り手法のデータの欠損に対するロバスト性の評価(ソフトウェア工学) 査読

柿元健, 角田雅照, 大杉直樹, 門田暁人, 松本健一

電子情報通信学会論文誌. D, 情報・システム 89 ( 12 ) 2602 - 2611 2006年12月

記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：一般社団法人電子情報通信学会

本論文では,協調フィルタリングに基づいた工数見積り手法(CF-based見積り手法)が,データの欠損に対してどの程度ロバストであるかを実験により評価する.CF-based見積り手法は,ソフトウェア開発プロジェクトの特性値(規模,工期など)を説明変数とし,目的変数である工数を見積もる手法であり,説明変数に未記録の値(欠損値)が含まれる場合にも適用できることが特長である.ただし,欠損値の生じるメカニズムの違い,及び,欠損率の変化が,見積り精度に与える影響(ロバスト性)は従来明らかでなかった.本論文では,欠損値が生じる三つのメカニズムを想定し,それぞれについて欠損率を変化させたデータセットを多数作成し,各データセットを用いて工数見積りを行うことで,ロバスト性を実験的に評価した.実験の結果,CF-based見積り手法が,従来手法であるステップワイズ重回帰分析と欠損値処理を併用する手法よりもロバスト性が高い,すなわち,欠損のメカニズムにかかわらず,欠損率が増欠しても見積り精度が大きく低下しないことが示された.

プログラマの視線を用いたコードレビュー性能の要因分析査読

上野秀剛, 中村匡秀, 門田暁人, 松本健一

ソフトウェア工学の基礎XIII 日本ソフトウェア科学会FOSE 2006 103 - 112 2006年11月

Java クラスファイル難読化ツール DonQuixote 査読

玉田春昭, 中村匡秀, 門田暁人, 松本健一

ソフトウェア工学の基礎XIII, 日本ソフトウェア科学会 FOSE2006 113 - 118 2006年11月

進行中のプロジェクト計測とフィードバック実験に基づく計測データベース活用方式の提案査読

神谷芳樹, 菊池奈穂美, 松村知子, 大杉直樹, 門田暁人, 肥後芳樹, 井上克郎, 松本健一

情報処理学会ソフトウェアエンジニアリングシンポジウム200 2006年10月

API呼び出しを用いた動的バースマーク査読

岡本圭司, 玉田春昭, 中村匡秀, 門田暁人, 松本健一

電子情報通信学会論文誌D J89-D ( 8 ) 1751 - 1763 2006年8月

記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：一般社団法人電子情報通信学会

本論文では,ソフトウェア盗用の発見・立証を効率的に支援するための動的バースマークを提案する.動的バースマークf(p,I)はソフトウェアpを入力Iで実行した場合のpの振舞いから得られる,pのもつユニークな特徴の集合である.ソフトウェアp,qが存在し,f(p,I)=f(q,I)であれば,qはpの盗用である疑いが強い.本論文では,2種類の動的バースマークを提案する.提案手法では,ソフトウェア実行時のAPI呼出し情報を,個々のソフトウェアの特徴として利用し,API呼出しの順序から実行系列バースマークを,個々のAPIの呼出し頻度から実行頻度バースマークをそれぞれ抽出する.この2種類のバースマークを2種類の実験によって評価した.実験1では,同じ用途の複数のアプリケーションに提案バースマークを適用した.その結果,オリジナルとその改変アプリケーションからは非常に類似したバースマークが得られること,全く独立に実装されたアプリケーションからは,全く異なるバースマークが得られることが分かった.実験2では,提案バースマークは,異なるコンパイラや最適化などに対して強い耐性をもつことが示された.

情報漏えいのリスクと生産性を考慮したソフトウェアプロセスの開発者割当て探索査読

神崎雄一郎, 井垣宏, 中村匡秀, 門田暁人, 松本健一

ソフトウェアシンポジウム2006 24 - 32 2006年7月

Analyzing Individual Performance of Source Code Review Using Reviewers’ Eye Movement 査読

Hidetake Uwano, Masahide Nakamura, Akito Monden, Ken-ichi Matsumoto

Proceedings of Int'l Eye Tracking Research & Applications Symposium (ETRA 2006) 133 - 140 2006年3月

A software protection method based on instruction camouflage 査読

Kanzaki, Y., Monden, A., Nakamura, M., Matsumoto, K.

Electronics and Communications in Japan, Part III: Fundamental Electronic Science (English translation of Denshi Tsushin Gakkai Ronbunshi) 89 ( 1 ) 47 - 59 2006年1月

Software Obfuscation from Crackers’ Viewpoint 査読

Hiroki Yamauchi, Yuichiro Kanzaki, Akito Monden, Masahide Nakamura, Ken-ichi Matsumoto

Proc. IASTED International Conference on Advances in Computer Science and Technology (IASTED ACST 2006) 286 - 291 2006年1月

Productivity analysis of Japanese enterprise software development projects 査読

Masateru Tsunoda, Akito Monden, Hiroshi Yadohisa, Nahomi Kikuchi, Ken-Ichi Matsumoto

Proceedings - International Conference on Software Engineering 14 - 17 2006年

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

To clarify the relation between controllable attributes of a software development and its productivity, this paper experimentally analyzed a software project repository (SEC repository), consisting of 253 enterprise software development projects in Japanese companies, established by Software Engineering Center (SEC), Information-technology Promotion Agency, Japan. In the experiment, as controllable attributes, we focused on the outsourcing ratio of a software project, defined as an effort outsourced to subcontract companies divided by a whole development effort, and on the effort allocation balance among development phases. Our major findings include both larger outsourcing ratio and smaller upstream process effort leads to worse productivity. Copyright 2006 ACM.

DOI： 10.1145/1137983.1137988

Quantitative Analysis of Information Leakage in Security-Sensitive Software Processes

Kanzaki Yuichiro, Igaki Hiroshi, Nakamura Masahide, Monden Akito, Matsumoto Ken-ichi

Information and Media Technologies 1 ( 1 ) 121 - 133 2006年

記述言語：英語出版者・発行元：Information and Media Technologies 編集運営会議

This paper presents a method to evaluate the risk of information leakage in software processes for security-sensitive applications. A software process is modeled as a series of sub-processes, each of which produces new work products from input products. Since a process is conducted usually by multiple developers, knowledge of work products is shared among the developers. Through the collaboration, a developer may share with others the knowledge of products that are not related to the process. We capture the transfer of such irrelevant product knowledge as information leakage in a software process. In this paper, we first formulate the problem of information leakage by introducing a formal software process model. Then, we propose a method to derive the probability that each developer d knows each work product p at a given process of software development. The probability reflects the possibility that someone leaked the knowledge of p to d. We also conduct three case studies to show the applicability of leakage to practical settings. In the case studies, we evaluate how the risk of information leakage is influenced by the collaboration among developers, the optimal developer assignment and the structure of the software process. As a result, we show that the proposed method provides a simple yet powerful means to perform quantitative analysis on information leakage in a security-sensitive software process.

DOI： 10.11185/imt.1.121

Java Birthmarks -- Detecting the Software Theft 査読

Haruaki Tamada, Masahide Nakamura, Akito Monden, Ken-ichi Matsumoto

IEICE Transactions on Information and Systems E88-D ( 9 ) 2148 - 2158 2005年9月

記述言語：英語掲載種別：研究論文（学術雑誌）出版者・発行元：一般社団法人電子情報通信学会

To detect the theft of Java class files efficiently, we propose a concept of Java birthmarks, which are unique and native characteristics of every class file. For a pair of class files p and q, if q has the same birthmark as p's, q is suspected as a copy of p. Ideally, the birthmarks should satisfy the following properties : (a) preservation - the birthmarks should be preserved even if the original class file is tampered with, and (b) distinction - independent class files must be distinguished by completely different birthmarks. Taking (a) and (b) into account, we propose four types of birthmarks for Java class files. To show the effectiveness of the proposed birthmarks, we conduct three experiments. In the first experiment, we demonstrate that the proposed birthmarks are sufficiently robust against automatic program transformation (93.3876% of the birthmarks were preserved). The second experiment shows that the proposed birthmarks successfully distinguish non-copied files in a practical Java application (97.8005% of given class files were distinguished). In the third experiment, we exploit different Java compilers to confirm that the proposed Java birthmarks are core characteristics independent of compiler-specific issues.

DOI： 10.1093/ietisy/e88-d.9.2148

Quantitative analysis of information leakage in security-sensitive software processes 査読

Yuichiro Kanzaki, Hiroshi Igaki, Masahide Nakamura, Akito Monden, Ken-ichi Matsumoto

IPSJ Journal, Special Issue on Research on Computer Security Characterized in the Context of Social Responsibilities 46 ( 8 ) 2129 - 2141 2005年8月

Software analysis by code clones in open source software 査読

Shinji Uchida, Akito Monden, Naoki Ohsugi, Toshihiro Kamiya, Ken Ichi Matsumoto, Hideo Kudo

Journal of Computer Information Systems 45 ( 3 ) 1 - 11 2005年3月

掲載種別：研究論文（学術雑誌）

The code clone (a duplicated code section in the source files of software) is one of the factors that complicate software maintenance. However, few empirical studies have analyzed the status quo of code clones. In this paper we conduct an extensive analysis of code clones using 125 packages of open source software written in C language, and suggest guidelines for the allowable production of code clones. Our results showed 11.3% as the average CRate (clone inclusion rate). For software packages that did not include automatically generated code, the CRate was 9.7%, the in-module CRate 8.2%, and the inter-module CRate 1.3%. These rates can be used as criteria for the allowable amount of code clone production. This paper also presents our findings on factors of code clone production, the influence of code clone production on maintainability, and removal methods.

その他リンク： https://dblp.uni-trier.de/db/journals/jcis/jcis45.html#UchidaMOKMK05

Characterizing Dynamics of Information Leakage in Software Process 査読

Yuichiro Kanzaki, Hiroshi Igaki, Masahide Nakamura, Akito Monden, Ken-ichi Matsumoto

Proc. 3rd Australasian Information Security Workshop (AISW2005) 44 145 - 151 2005年1月

Tamper-resistant software system based on a finite state machine 査読

Akito Monden, Antoine Monsifrot, Clark Thomborson

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E88-A ( 1 ) 112 - 122 2005年

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）出版者・発行元：Institute of Electronics, Information and Communication, Engineers, IEICE

Many computer systems are designed to make it easy for end-users to install and update software. An undesirable side effect, from the perspective of many software producers, is that hostile end-users may analyze or tamper with the software being installed or updated. This paper proposes a way to avoid the side effect without affecting the ease of installation and updating. We construct a computer system M with the following properties: 1) the end-user may install a program P in any conveniently accessible area of M
2) the program P contains encoded instructions whose semantics are obscure and difficult to understand
and 3) an internal interpreter W, embedded in a non-accessible area of M, interprets the obfuscated instructions without revealing their semantics. Our W is a finite state machine (FSM) which gives context-dependent semantics and operand syntax to the encoded instructions in P
thus, attempts to statically analyze the relation between instructions and their semantics will not succeed. We present a systematic method for constructing a P whose instruction stream is always interpreted correctly regardless of its input, even though changes in input will (in general) affect the execution sequence of instructions in P. Our framework is easily applied to conventional computer systems by adding a FSM unit to a virtual machine or a reconfigurable processor. Copyright © 2005 The Institute of Electronics, Information and Communication Engineers.

DOI： 10.1093/ietfec/E88-A.1.112

マルチバージョン生成によるプログラムの解析防止査読

山内寛己, 神崎雄一郎, 門田暁人, 中村匡秀, 松本健一

ソフトウェア工学の基礎XI, 日本ソフトウェア科学会FOSE2004 157 - 160 2004年11月

ソフトウェア実行時のAPI呼び出し履歴に基づく動的バースマークの提案査読

岡本圭司, 玉田春昭, 中村匡秀, 門田暁人, 松本健一

ソフトウェア工学の基礎XI, 日本ソフトウェア科学会FOSE2004 85 - 88 2004年11月

Dynamic Software Birthmarks to Detect the Theft of Windows Applications 査読

Haruaki Tamada, Keiji Okamoto, Masahide Nakamura, Akito Monden, Ken-ichi Matsumoto

Proc. International Symposium on Future Software Technology 2004 (ISFST 2004) CDROM 2004年10月

命令のカムフラージュによるソフトウェア保護方法査読

神崎雄一郎, 門田暁人, 中村匡秀, 松本健一

電子情報通信学会論文誌A J87-A ( 6 ) 755 - 767 2004年6月

記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：一般社団法人電子情報通信学会

本論文では,プログラムに含まれる多数の命令をカムフラージュ(偽装)することにより,悪意をもったユーザ(攻撃者)によるプログラムの解析を困難にする方法を提案する.提案方法では,プログラム中の任意の命令(ターゲット)を異なる命令で偽装し,プログラムの自己書換え機構を用いて,実行時のある期間においてのみ元来の命令に復元する.攻撃者がカムフラージュされた命令を含む範囲の解析を試みたとしても,ターゲットの書換えを行うルーチン(書換えルーチン)の存在に気づかない限り,プログラムの元来の動作を正しく理解することは不可能である.解析を成功させるためには,書換えルーチンを含む範囲についても解析する必要があり,結果として,攻撃者はより広範囲にわたるプログラムの解析を強いられることとなる.提案方法は自動化が容易であり,要求される保護の強さ,及び,許容される実行効率の低下の度合に応じて,ターゲットの個数を任意に決定できる.

Design and evaluation of birthmarks for detecting theft of Java programs 査読

Haruaki Tamada, Masahide Nakamura, Akito Monden, Ken-ichi Matsumoto

Proc. IASTED International Conference on Software Engineering (IASTED SE 2004) 569 - 575 2004年2月

Effort estimation based on Collaborative Filtering 査読

N Ohsugi, M Tsunoda, A Monden, K Matsumoto

PRODUCT FOCUSED SOFTWARE PROCESS IMPROVEMENT 3009 274 - 286 2004年

記述言語：英語掲載種別：研究論文（学術雑誌）出版者・発行元：SPRINGER-VERLAG BERLIN

Effort estimation methods are one of the important tools for project managers in controlling human resources of ongoing or future software projects. The estimations require historical project data including process and product metrics that characterize past projects. Practically, in using the estimation methods, it is a problem that the historical project data frequently contain substantial missing values. In this paper, we propose an effort estimation method based on Collaborative Filtering for solving the problem. Collaborative Filtering has been developed in information retrieval researchers, as one of the estimation techniques using defective data, i.e. data having substantial missing values. The proposed method first evaluates similarity between a target (ongoing) project and each past project, using vector based similarity computation equation. Then it predicts the effort of the target project with the weighted sum of the efforts of past similar projects. We conducted an experimental case study to evaluate the estimation performance of the proposed method. The proposed method showed better performance than the conventional regression method when the data had substantial missing values.

Exploiting self-modification mechanism for program protection 査読

Yuichiro Kanzaki, Akito Monden, Masahide Nakamura, Ken-ichi Matsumoto

Proc. 27th Computer Software and Applications Conference (compsac2003) 170 - 179 2003年11月

Queue-based cost evaluation of mental simulation process in program comprehension 査読

Masahide Nakamura, Akito Monden, Tomoaki Itoh, Ken-ichi Matsumoto, Yuichiro Kanzaki, Hirotsugu Satoh

Proc. 9th IEEE International Software Metrics Symposium (METRICS2003) 351 - 360 2003年9月

A recommendation system for software function discovery 査読

N Ohsugi, A Monden, K Matsumoto

APSEC 2002: NINTH ASIA PACIFIC SOFTWARE ENGINEERING CONFERENCE 248 - 257 2002年

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）出版者・発行元：IEEE COMPUTER SOC

Since many of today's application software provide users with too many functions, the users sometimes cannot find the useful functions. This paper proposes a recommendation system based on a collaborative filtering approach to let users discover useful functions at low cost for the purpose of improving the user's productivity in using application software. The proposed system automatically collects histories of software function execution (usage histories) from many users through the Internet. Based on the collaborative filtering approach, collected histories are used to recommend the user a set of candidate functions that may be useful to the individual user. This paper illustrates conventional filtering algorithms and proposes a new algorithm suitable for recommendation of software functions. The result of an experiment with a prototype recommendation system showed that the average napin of our algorithm was smaller,than that of the conventional algorithms; and, it also showed that the standard deviation of ndpm of our algorithm was smaller than that of the conventional algorithms. Furthermore, while every conventional algorithm had a case whose recommendation was worse than the random algorithm, our algorithm did not.

The detection of faulty code violating implicit coding rules 査読

T Matsumura, A Monden, K Matsumoto

2002 INTERNATIONAL SYMPOSIUM ON EMPIRICAL SOFTWARE ENGINEERING, PROCEEDINGS 173 - 182 2002年

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）出版者・発行元：IEEE COMPUTER SOC

In the field of legacy software maintenance, there unexpectedly arises a large number of implicit coding rules, which we regard as a cancer in software evolution. Since such rules are usually undocumented and each of them is recognized only by, a few members in a maintenance team, a person who is not aware of a rule often violates it while doing various maintenance activities such as adding a new functionality, or repairing faults. The problem here is not only, such a violation introduces a new fault but also the same kind of fault will be generated again and again in the future by different maintainers.
This paper proposes a method for detecting code fragments that violate implicit coding rules. In the method, an expert maintainer, firstly, investigates the cause of each failure, described in the past failure reports, and identifies all the implicit coding rules that lie behind the faults. Then, the code patterns violating the rules (which we call "faulty code patterns") are described in a pattern description language. Finally, the potential faulty code fragments are automatically detected by a pattern matching technique.
The result of a case study with large legacy software showed that 32.7% of the failures, which have been reported during a maintenance process, were due to the violation of implicit coding rules. Moreover, 152 faults existed in 772 code fragments detected by, the prototype matching system, while 111 of them were not reported.

A Multiple-View Analysis Model of Debugging Processes. 査読

Shinji Uchida, Akito Monden, Hajimu Iida, Ken-ichi Matsumoto, Hideo Kudo

2002 International Symposium on Empirical Software Engineering (ISESE 2002), 3-4 October 2002, Nara, Japan 139 - 147 2002年

Software quality analysis by code clones in industrial legacy software 査読

A Monden, D Nakae, T Kamiya, S Sato, K Matsumoto

EIGHTH IEEE SYMPOSIUM ON SOFTWARE METRICS, PROCEEDINGS 87 - 94 2002年

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）出版者・発行元：IEEE COMPUTER SOC

Existing researches suggest that the code clone (duplicated code) is one of the factors that degrades the design and the structure of software and lowers the software quality such as readability and changeability. However, the influence of code clones on software quality has not been quantitatively clarified yet.
In this paper, we have tried to quantitatively clarify the relation between code clones and the software reliability and maintainability of twenty years old software. As a result, we found that modules having code clones (clone-included modules) are more reliable than modules having no code clone (non-clone modules) on average. Nevertheless, the modules having very large code clones (more than 200 SLOC) are less reliable than non-clone modules. We also found that clone-included modules are less maintainable (having greater revision number on average) than non-clone modules; and, modules having larger code clone are less maintainable than modules having smaller code clone.

A Method for Detecting Faulty Code Violating Implicit Coding Rules

Tomoko Matsumura, Akito Monden, Ken-Ichi Matsumoto

International Workshop on Principles of Software Evolution (IWPSE) 15 2002年

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）出版者・発行元：Institute of Electrical and Electronics Engineers Inc.

In the field of legacy software maintenance, there unexpectedly arise a large number of implicit coding rules - which are seldom written down in specification documents or design documents - as software becomes more complicated than it used be. Since not all the members in a maintenance team realize each of implicit coding rules, a maintainer who is not aware of a rule often violates the rule while doing various maintenance activities such as adding new functionality and repairing faults. The problem here is not only such a violation causes injection of a new fault into software but also this violation will be repeated again and again in the future by different maintainers. Indeed, we found that 32.7% of faults of certain legacy software were due to such violations. This paper proposes a method for detecting code fragments that violate implicit coding rules. In the method, an expert maintainer firstly investigates the causes, situations, and code fragments of each fault described in bug reports
and, identifies implicit coding rules as much as possible. Then, code patterns violating the rules (which we call bug code patterns) are described in a pattern description language. Finally, potential faulty code fragments are extracted by a pattern matching technique.

DOI： 10.1145/512035.512040

Evaluating the Applicability of Reliability Prediction Models between Different Software

Shin-Ichi Sato, Akito Monden, Ken-Ichi Matsumoto

International Workshop on Principles of Software Evolution (IWPSE) 97 - 102 2002年

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）出版者・発行元：Association for Computing Machinery (ACM)

The prediction of fault-prone modules in a large software system is an important part in software evolution. Since prediction models in past studies have been constructed and used for individual systems, it has not been practically investigated whether a prediction model based on one system can also predict fault-prone modules accurately in other systems. Our expectation is that if we could build a model applicable to different systems, it would be extremely useful for software companies because they do not need to invest manpower and time for gathering data to construct a new model for every system. In this study, we evaluated the applicability of prediction models between two software systems through two experiments. In the first experiment, a prediction model using 19 module metrics as predictor variables was constructed in each system and was applied to the opposite system mutually. The result showed predictors were too fit to the base data and could not accurately predict fault-prone modules in the different system. On the basis of this result, we focused on a set of predictors showing great effectiveness in every model
and, in consequent, we identified two metrics (Lines of Code and Maximum Nesting Level) as commonly effective predictors in all the models. In the second experiment, by constructing prediction models using only these two metrics, prediction performance were dramatically improved. This result suggests that the commonly effective model applicable to more than two systems can be constructed by focusing on commonly effective predictors.

DOI： 10.1145/512035.512057

機能実行履歴を用いたソフトウェア機能の発見支援システム査読

森崎修司, 白石裕美, 大和正武, 門田暁人, 松本健一, 鳥居宏次

電子情報通信学会論文誌D-I J84-D-I ( 6 ) 755 - 767 2001年6月

記述言語：日本語出版者・発行元：一般社団法人電子情報通信学会

今日のアプリケーションソフトウェアの多くは, 様々な使用目的を想定しているために非常に多機能であるが, その反面, ユーザにとって有用な機能を探し出すことは容易でない.本論文では, ソフトウェアの使用目的が似通ったユーザ間で機能実行履歴を相互参照可能とすることで, ユーザにとって有用な機能の発見を支援するシステムを提案する.提案するシステムは, 機能実行履歴をより広範に長期間にわたって収集し, 収集された大量の履歴を効率良く処理し, ユーザにとって未知, かつ, 有用な機能の候補をわかりやすく提示することができる.Microsoft Word2000, 及び, PowerPoint2000を対象とした評価実験の結果, 延べ9人の被験者は平均63.7個の機能を有用な構能の候補としてシステムより提示され, そのうちの平均16.1個の未知機能を発見することができた.また, 発見した未知機能のうち, 被験者が実際に有用であると答えた機能の割合はWordでは平均39.2%, PowerPointでは46.3%であった.

A Practical Method for Watermarking Java Programs. 査読

Akito Monden, Hajimu Iida, Ken-ichi Matsumoto, Koji Torii, Katsuro Inoue

24th International Computer Software and Applications Conference (COMPSAC 2000), 25-28 October 2000, Taipei, Taiwan 191 - 197 2000年

Button selection for general GUIs using eye and hand together

Masatake Yamato, Akito Monden, Ken ichi Matsumoto, Katsuro Inoue, Koji Torii

Proceedings of the Workshop on Advanced Visual Interfaces 270 - 273 2000年

記述言語：英語掲載種別：研究論文（学術雑誌）出版者・発行元：ACM

This paper proposes an efficient technique for eye gaze interface suitable for the general GUI environments such as Microsoft Windows. Our technique uses an eye and a hand together: the eye for moving cursors onto the GUI button (move operation), and the hand for pushing the GUI button (push operation). We also propose the following two techniques to assist the move operation: (1) Automatic adjustment and (2) Manual adjustment. In the automatic adjustment, the cursor automatically moves to the closest GUI button when we push a mouse button. In the manual adjustment, we can move the cursor roughly by an eye, then move it a little more by the mouse onto the GUI button. In the experiment to evaluate our method, GUI button selection by manual adjustment showed better performance than the selection by a mouse even in the Situation that has many small GUI buttons placed very closely each other on the GUI.

DOI： 10.1145/345513.345339

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