Faculty Profiles - MONDEN Akito

MISC - MONDEN Akito

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Empirical Evaluation of Cross-Release Effort-Aware Defect Prediction Models

Kwabena Ebo Bennin, Koji Toda, Yasutaka Kamei, Jacky Keung, Akito Monden, Naoyasu Ubayashi

2016 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE QUALITY, RELIABILITY AND SECURITY (QRS 2016) 214 - 221 2016

Language：English Publisher：IEEE

To prioritize quality assurance efforts, various fault prediction models have been proposed. However, the best performing fault prediction model is unknown due to three major drawbacks: (1) comparison of few fault prediction models considering small number of data sets, (2) use of evaluation measures that ignore testing efforts and (3) use of n-fold cross validation instead of the more practical cross-release validation. To address these concerns, we conducted cross-release evaluation of 11 fault density prediction models using data sets collected from 2 releases of 25 open source software projects with an effort-aware performance measure known as Norm(P-opt). Our result shows that, whilst M5 and K* had the best performances; they were greatly influenced by the percentage of faulty modules present and size of data set. Using Norm(P-opt) produced an overall average performance of more than 50% across all the selected models clearly indicating the importance of considering testing efforts in building fault-prone prediction models.

DOI： 10.1109/QRS.2016.33

Web of Science

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Textual vs. Visual Programming Languages in Programming Education for Primary Schoolchildren

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

2016 IEEE FRONTIERS IN EDUCATION CONFERENCE (FIE) 1 - 7 2016

Language：English Publisher：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

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Erratum: Investigating and Projecting Population Structures in Open Source Software Projects: A Case Study of Projects in GitHub [IEICE Transactions on Information and Systems Vol.E99.D (2016) , No.5 pp.1304-1315]

ONOUE Saya, HATA Hideaki, MONDEN Akito, MATSUMOTO Kenichi

IEICE Transactions on Information and Systems 99 ( 7 ) 1961 - 1961 2016

Pinpointing and hiding surprising fragments in an obfuscated program

Yuichiro Kanzaki, Clark Thomborson, Akito Monden, Christian Collberg

ACM International Conference Proceeding Series 08- 8:1-8:9 2015.12

Language：English Publisher：Association for Computing Machinery

In this paper, we propose a pinpoint-hide defense method, which aims to improve the stealth of obfuscated code. In the pinpointing process, we scan the obfuscated code in a few small code fragment level and identify all surprising fragments, that is, very unusual fragments which may draw the attention of an attacker to the obfuscated code. In the hiding process, we transform the pinpointed surprising fragments into unsurprising ones while preserving semantics. The obfuscated code transformed by our method consists only by unsurprising code fragments, therefore is more difficult for attackers to be distinguished from unobfuscated code than the original. In the case study, we apply our pinpoint-hide method to some programs transformed by well-known obfuscation techniques. The result shows our method can pinpoint surprising fragments such as dummy code that does not fit in the context of the program, and instructions used in a complicated arithmetic expression. We also confirm that instruction camouflage can make the pinpointed surprising fragments unsurprising ones, and that it runs correctly.

DOI： 10.1145/2843859.2843862

Scopus

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Extracting Typical Projects in a Software Project Data Set

川下正宏, 門田暁人, 畑秀明

情報処理学会研究報告(Web) 2015 ( SE-190 ) VOL.2015‐SE‐190,NO.8 (WEB ONLY) 2015.12

プログラミング初学者のためのソースコード再利用支援

藤原新, 畑秀明, 門田暁人, 松本健一

情報処理学会研究報告(Web) 2015 ( SE-190 ) VOL.2015‐SE‐190,NO.16 (WEB ONLY) 2015.12

Reducing the cost of debugging through progressive use of static code analysis tools

Masaaki Tsuruta, Akito Monden, Kenichi Matsumoto

Proc. International Conference on Project Management (ProMAC2015) 2015

Predicting faults after unit testing using design phase metrics in embedded software development

Masateru Tsunoda, Akito Monden, Kenichi Matsumoto

11 ( 2 ) 16 - 23 2015

Bug Report Recommendation for Code Inspection

Shin Fujiwara, Hideaki Hata, Akito Monden, Kenichi Matsumoto

2015 IEEE 1ST INTERNATIONAL WORKSHOP ON SOFTWARE ANALYTICS (SWAN) 9 - 12 2015

Language：English Publisher：IEEE

Large software projects such as Mozilla Firefox and Eclipse own more than ten thousand bug reports that have been reported but left unresolved. To utilize such a great amount of unresolved bug reports and accelerate bug detection and removal, we propose to a way recommend programmers a bug report that is likely to contain failure descriptions related to a source file being inspected. We employ the vector space model (VSM) to make a relevancy ranking of bug reports to a given source file. The result of an experiment using data of three open source software projects showed that the accuracies of recommendations ranged from 21.74% to 60.05% in terms of the percentage of recommendations that contained relevant bug reports in a top 10 recommended list.

DOI： 10.1109/SWAN.2015.7070481

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Programming Education for Primary Schoolchildren Using a Textual Programming Language

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

FRONTIERS IN EDUCATION CONFERENCE (FIE), 2015 1008 - 1014 2015

Language：English Publisher：IEEE

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

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著作権守る電子透かし

門田暁人

読売新聞奈良版寄稿連載「ドキ★ワク先端科学」 2015

Case consistency: A necessary data quality property for software engineering data sets

Passakorn Phannachitta, Akito Monden, Jacky Keung, Kenichi Matsumoto

Proc. 19th International Conference on Evaluation and Assessment in Software Engineering (EASE2015) 19:1-19:10 2015

Code Artificiality: A Metric for the Code Stealth Based on an N-gram Model

Yuichiro Kanzaki, Akito Monden, Christian Collberg

2015 IEEE/ACM 1ST INTERNATIONAL WORKSHOP ON SOFTWARE PROTECTION (SPRO) 31 - 37 2015

Language：English Publisher：IEEE

This paper proposes a method for evaluating the artificiality of protected code by means of an N-gram model. The proposed artificiality metric helps us measure the stealth of the protected code, that is, the degree to which protected code can be distinguished from unprotected code. In a case study, we use the proposed method to evaluate the artificiality of programs that are transformed by well-known obfuscation techniques. The results show that static obfuscating transformations (e.g., control flow flattening) have little effect on artificiality. However, dynamic obfuscating transformations (e.g., code encryption), or a technique that inserts junk code fragments into the program, tend to increase the artificiality, which may have a significant impact on the stealth of the code.

DOI： 10.1109/SPRO.2015.14

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Benchmarking Software Maintenance Based on Working Time

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

3RD INTERNATIONAL CONFERENCE ON APPLIED COMPUTING AND INFORMATION TECHNOLOGY (ACIT 2015) 2ND INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND INTELLIGENCE (CSI 2015) 20 - 27 2015

Language：English Publisher：IEEE

Software maintenance is an important activity on the software lifecycle. Software maintenance does not mean only removing faults found after software release. Software needs extensions or modifications of its functions due to changes in a business environment, and software maintenance also indicates them. In this research, we try to establish a benchmark of work efficiency for software maintenance. To establish the benchmark, factors affecting work efficiency should be clarified, using a dataset collected from various organizations (cross-company dataset). We used dataset includes 134 data points collected by Economic Research Association in 2012, and analyzed factors affected work efficiency of software maintenance. We defined the work efficiency as number of modified modules divided by working time. The main contribution of our research is illustrating factors affecting work efficiency, based on the analysis using cross-company dataset and working time. Also, we showed work efficiency, classified the factor. It can be used to benchmark an organization. We empirically illustrated that using Java and restriction of development tool affect to work efficiency.

DOI： 10.1109/ACIT-CSI.2015.13

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Predicting Faults After Unit Testing Using Design Phase Metrics in Embedded Software Development

SEC journal 11 ( 2 ) 16 - 23 2015

Quantifying the Evolution of Open Source Software Focusing on Code Clone and Used Libraries

若林洸太, 門田暁人, 伊原彰紀, 玉田春昭

情報処理学会研究報告(Web) 2015 ( SE-190 ) 2015

Scaling up analogy-based software effort estimation: A Comparison of multiple hadoop implementation schemes

Passakorn Phannachitta, Jacky Keung, Akito Monden, Kenichi Matsumoto

International Workshop on Innovative Software Development Methodologies and Practices, InnoSWDev 2014 - Proceedings 65 - 72 2014.11

Language：English Publisher：Association for Computing Machinery, Inc

Analogy-based estimation (ABE) is one of the most time consuming and compute intensive method in software de- velopment effort estimation. Optimizing ABE has been a dilemma because simplifying the procedure can reduce the estimation performance, while increasing the procedure com- plexity with more sophisticated theory may sacrifice an ad- vantage of the unlimited scalability for a large data input. Motivated by an emergence of cloud computing technology in software applications, in this study we present 3 different implementation schemes based on Hadoop MapReduce to optimize the ABE process across multiple computing in- stances in the cloud-computing environment. We experimentally compared the 3 MapReduce implementation schemes in contrast with our previously proposed GPGPU approach (named ABE-CUDA) over 8 high-performance Amazon EC2 instances. Results present that the Hadoop solution can pro- vide more computational resources that can extend the scalability of the ABE process. We recommend adoption of 2 different Hadoop implementations (Hadoop streaming and RHadoop) for accelerating the computation specifically for compute-intensive software engineering related tasks.

DOI： 10.1145/2666581.2666582

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作業時間と単価に基づくシステム運用費用の分析

角田雅照, 門田暁人, 松本健一, 大岩佐和子, 押野智樹

研究報告ソフトウェア工学（SE） 2014 ( 12 ) 1 - 7 2014.11

Language：Japanese Publisher：一般社団法人情報処理学会

近年，情報システムの規模の増大や，システム運用の外部委託の進展に伴い，システム運用に関する注目が高まっている．システム運用費用が妥当であるかどうかは，システム運用の委託側企業にとって判断が難しい．本稿では，委託側企業がシステム運用費用の妥当性判断の参考となるような情報の提供を目指し，システム運用費用に影響を与える要因の分析を行った．受託側の作業時間と運用費用は非常に関連が強いため，受託側作業時間を把握することができれば，標準的な運用費用を推定することができる．ただし，受託側作業時間を委託側企業が把握することは一般に容易ではない．そこで本稿では，作業時間と技術者の単価から簡易的に価格を推定することを前提とし，作業時間と単価に影響する要因を個別に分析した．その結果，作業時間はプログラム本数と最大利用者数から決まることや，ネットワーク範囲が狭い場合，単価が低くなる傾向があることがわかった．

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自主研究システム運用費用に影響を与える要因の分析

角田雅照, 門田暁人, 松本健一

経済調査研究レビュー ( 15 ) 55 - 64 2014.9

故障モジュール中の欠陥メソッド特定

畑秀明, 門田暁人, 松本健一

ソフトウェアエンジニアリングシンポジウム2014論文集 2014 ( 2014 ) 131 - 136 2014.8

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