研究者詳細 - 門田　暁人

論文 - 門田　暁人

分割表示 230 件中 1 - 20 件目／全件表示 >>

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

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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

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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

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