Faculty Profiles - MONDEN Akito

MISC - MONDEN Akito

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林宏徳, 伊原彰紀, 門田暁人, 松本健一

研究報告セキュリティ心理学とトラスト（SPT） 2013 ( 6 ) 1 - 4 2013.5

Language：Japanese

昨今，ソフトウェア開発のコスト削減を目的として，商用ソフトウェアの一部にオープンソースソフトウェア (OSS) を利用する企業が増加している．OSS 導入時には，対象プロジェクトのリリース後における保守体制を理解することが重要であり，OSS 開発の不具合修正プロセスを分析する研究が進んでいる．不具合修正プロセス中のコミッターによるレビュー作業は，ソフトウェアをリリースする直前の作業であり，ソフトウェアの品質に最も影響を与える．したがって，コミッターの不十分なレビュー作業は開発の手戻り（再修正）を引き起こし作業効率の低下に繋がる．そこで本稿はコミッターのレビュー作業による OSS 品質への影響について考察する．

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Evaluation of RFPs Based on Machine Learning

2013 ( 5 ) 1 - 7 2013.3

Module Classification and Selection for Software Fault Prediction

MORI Makoto, MONDEN Akito, KAMEI Yasutaka, MATSUMOTO Ken-ichi

Technical report of IEICE. KBSE 112 ( 419 ) 59 - 64 2013.1

Language：Japanese Publisher：The Institute of Electronics, Information and Communication Engineers

To prioritize testing effort, it is important to predict fault-prone modules that are likely to contain a fault To build a better fault-prone module prediction model, This paper proposes two methods (module classifica-tion and module selection) to produce a fit dataset (for model building) that has smulai aspects to the prediction target dataset so that resultant model may have a good prediction performance when it is applied to the target dataset By using Eclipse dataset, we experimentally evaluate the proposed methods.

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Industry Application of Research Findings from Mining Software Repositories

2013 21 - 22 2013.1

Mining Software Repositories

MONDEN Akito, IHARA Akinori, MATSUMOTO Kenichi

Computer Software 30 ( 2 ) 52 - 65 2013

Language：Japanese Publisher：Japan Society for Software Science and Technology

The Mining Software Repositories (MSR) is an attractive research field that has tons of research topics. It is great fun for a researcher to mine new research goals from software repositories. The MSR field has been grown up with OSS communities, as researchers have mined repositories of various open source software (OSS) projects until now. In this paper we introduce fun of the MSR field as well as its typical research topics, example of mining and future directions.

DOI： 10.11309/jssst.30.2_52

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Other Link： https://jlc.jst.go.jp/DN/JALC/10022631052?from=CiNii

An instruction folding method to prevent reverse engineering in java platform

Tetsuya Ohdo, Haruaki Tamada, Yuichiro Kanzaki, Akito Monden

SNPD 2013 - 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing 517 - 522 2013

Language：English

To improve tamper resistance of programs against illegal modification, this paper proposes instruction folding applicable to Java platform. In the proposed method, at first, similar methods are selected in a Java program. Next, these methods are merged into one method and diffs among these methods are stored in the program. Then, at runtime, when one of the merged methods is executed, diffs are restored by self-modification, which is realized by the Java instrumentation mechanism. The proposed method is resilient against tampering of folded method. Even if an adversary modifies the folded method, the program goes crash because the method is repeatedly modified at runtime. © 2013 IEEE.

DOI： 10.1109/SNPD.2013.31

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11種類のfault密度予測モデルの実証的評価

小林寛武, 戸田航史, 亀井靖高, 門田暁人, 峯恒憲, 鵜林尚靖

電子情報通信学会論文誌D J96-D ( 8 ) 1892 - 1902 2013

Evaluation of Software Obfuscation Based on the Randomness of Instructions.

Ami Futamura, Akito Monden, Haruaki Tamada, Yuichiro Kanzaki, Masahide Nakamura, Kenichi Matsumoto

Computer Software 30 ( 3 ) 18 - 24 2013

Language：English

This paper quantifies the difficulty of program analysis based on the information theory. The basic idea is to consider that a program is ultimately obfuscated if instructions appear at random
that is, (1) all instructions has an equal frequency of appearance, and (2) there is no pattern observed in the instruction sequence. We quantified (1) based on the entropy and (2) based on the Kolmogorov complexity. We evaluated the feasibility of our proposal through a case study. © 2013, Japan Society for Software Science and Technology. All rights reserved.

DOI： 10.11309/jssst.30.3_18

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Hybrid Effort Estimation based on Multivariate Liner Regression and Analogy based Estimation

TODA Koji, TSUNODA Masateru, MONDEN Akito, MATSUMOTO Kenichi

Computer Software 30 ( 2 ) 227 - 233 2013

Language：Japanese Publisher：Japan Society for Software Science and Technology

We propose a hybrid effort estimation method based on the multivariate liner regression analysis and the analogy based estimation method (ABE). First, our method calculates the unreliability index of ABE on an estimation target project. Next, our method selects log-log regression estimation when the value of the index is low. Otherwise our method selects ABE estimation or combined estimation (the average of ABE and log-log regression estimation). In the experiment, we compared estimation accuracies of our method with conventional methods, and the results showed that the median of Balanced Relative Error (estimation accuracy index) was improved from 47.2% to 39.7%, when the variance of similar projects' effort was used as the reliability index.

DOI： 10.11309/jssst.30.2_227

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Why is collaboration needed in OSS projects? A case study of eclipse project

Hironori Hayashi, Akinori Ihara, Akito Monden, Ken-Ichi Matsumoto

2013 5th International Workshop on Social Software Engineering, SSE 2013 - Proceedings 17 - 20 2013

Language：English

In open source software development, the collaboration among developers is the key to improve software quality. In particular, to fix a bug related to various parts of a system, developers need collaboration because each developer usually has very limited knowledge about a large software system. This paper aims to clarify how narrow (or how wide) is each developer's knowledge area in the Eclipse project, and how often do developers need to collaborate with each other. As a result of analysis, we found that 50 % of committers take care of just one or two modules, which indicates the necessity of collaboration when a bug-fix affects multiple modules. In addition, we also found the significant relationship between committers' collaborations and the re-opened bugs. We conclude that a committer should be aware the risk of re-opened bugs caused by the collaboration. Copyright 2013 ACM.

DOI： 10.1145/2501535.2501539

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The Effects of Teaching Material Remediation with ARCS-Strategies for Programming Education

Hidekuni Tsukamoto, Yasubiro Takemura, Hideo Nagumo, Akito Monden, Ken-ichi Matsumoto

2013 IEEE FRONTIERS IN EDUCATION CONFERENCE 717 - 723 2013

Language：English Publisher：IEEE

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.

DOI： 10.1109/FIE.2013.6684920

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ARCS動機づけ方略と統計的検定に基づくプログラミング教材の改善とその評価

塚本英邦, 南雲秀雄, 門田暁人, 松本健一

日本産業技術教育学会誌 55 ( 4 ) 307 - 315 2013

Patch Reviewer Recommendation in OSS Projects

John Boaz Lee, Akinori Ihara, Akito Monden, Ken-ichi Matsumoto

2013 20TH ASIA-PACIFIC SOFTWARE ENGINEERING CONFERENCE (APSEC 2013), VOL 2 2 1 - 6 2013

Language：English Publisher：IEEE COMPUTER SOC

In an Open Source Software (OSS) project, many developers contribute by submitting source code patches. To maintain the quality of the code, certain experienced developers review each patch before it can be applied or committed. Ideally, within a short amount of time after its submission, a patch is assigned to a reviewer and reviewed. In the real world, however, many large and active OSS projects evolve at a rapid pace and the core developers can get swamped with a large number of patches to review. Furthermore, since these core members may not always be available or may choose to leave the project, it can be challenging, at times, to find a good reviewer for a patch. In this paper, we propose a graph-based method to automatically recommend the most suitable reviewers for a patch. To evaluate our method, we conducted experiments to predict the developers who will apply new changes to the source code in the Eclipse project. Our method achieved an average recall of 0.84 for top-5 predictions and a recall of 0.94 for top-10 predictions.

DOI： 10.1109/APSEC.2013.103

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Improving Analogy-based Software Cost Estimation through Probabilistic-based Similarity Measures

Passakorn Phannachitta, Jacky Keung, Akito Monden, Ken-Ichi Matsumoto

2013 20TH ASIA-PACIFIC SOFTWARE ENGINEERING CONFERENCE (APSEC 2013), VOL 1 541 - 546 2013

Language：English Publisher：IEEE COMPUTER SOC

The performance of software cost estimation based on analogy reasoning depends upon the measures that specifying the similarity between software projects. This paper empirically investigates the use of probabilistic-based distance functions to improve the similarity measurement. The probabilistic-based distance functions are considerably more robust, because they collect the implicit correlation between the occurrences of project feature attributes. This information gain enables the constructed estimation model to be more concise and comprehensible. The study compares 6 probabilistic-based distance functions against the commonly-used Euclidian distance. We empirically evaluate the implemented cost estimation model using 5 real-world datasets collected from the PROMISE repository. The result shows a significant improvement in terms of error reduction, that implies an estimation based on probabilistic-based distance functions achieve higher accuracy on average, and the peak performance significantly outperforms the Euclidian distance based on Wilcoxon signed-rank test.

DOI： 10.1109/APSEC.2013.78

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OSS開発におけるコミッターによる協調作業の一考察

林宏徳, 伊原彰紀, 門田暁人, 松本健一

電子情報通信学会技術研究報告 113 ( 43(LOIS2013 1-5) ) 2013

OSS開発における一般開発者の協調作業と不具合の再修正に関する一考察

林宏徳, 伊原彰紀, 門田暁人, 松本健一

情報処理学会シンポジウムシリーズ(CD-ROM) 2013 ( 2 ) 2013

Discussion of A Method for Redundancy to Invoke Tasks and A Method To Keep A Priority Order for Dispatching A Task in the Embedded RTOS

平井勝彦, 伊原彰紀, 門田暁人, 松本健一

情報処理学会研究報告(CD-ROM) 2012 ( 6 ) 2013

Customizing GQM Models for Software Project Monitoring

Akito Monden, Tomoko Matsumura, Mike Barker, Koji Torii, Victor R. Basili

IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS E95D ( 9 ) 2169 - 2182 2012.9

Language：English Publisher：IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG

This paper customizes Goal/Question/Metric (GQM) project monitoring models for various projects and organizations to take advantage of the data from the software tool EPM and to allow the tailoring of the interpretation models based upon the context and success criteria for each project and organization. The basic idea is to build less concrete models that do not include explicit baseline values to interpret metrics values. Instead, we add hypothesis and interpretation layers to the models to help people of different projects make decisions in their own context. We applied the models to two industrial projects, and found that our less concrete models could successfully identify typical problems in software projects.

DOI： 10.1587/transinf.E95.D.2169

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An Attempt of Software Effort Prediction using Multivariate Log-log Regression by Random Sampling of Explanatory Variables

小西文章, 内田眞司, 戸田航史, 門田暁人

研究報告ソフトウェア工学（SE） 2012 ( 2 ) 1 - 8 2012.3

Language：Japanese

ソフトウェア開発における工数予測は，プロジェクト完遂に必要な人的資源やスケジュール管理を行う上で重要である．工数予測手法には，過去のソフトウェア開発プロジェクトの実績データに基づいて，工数予測モデルを構築する手法がある．我々は，工数予測モデルの中で広く用いられている対数重回帰分析によるモデル（対数重回帰モデル）に着目した．対数重回帰モデルは，オーバーフィッティングが発生する可能性があるという問題がある．そこで本稿では，オーバーフィッティングに考慮した説明変数のランダムサンプリングを用いた対数重回帰モデルによるソフトウェア開発工数予測手法を提案する．Effort estimation is important for project managers in controlling human resources in a software project. There is the method which builds an effort estimation model based on software measurement data. We focused the model by multivariate log-log regression analysis, multivariate log-log regression model that is widely used to predict effort. Multivariate log-log regression model have the annoying problem of over-fitting. In this paper, We propose the technique of performing effort prediction using multivariate log-log regression model which takes the problem of over-fitting into consideration.

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Elicitation and Analysis of Maintenance and Operation Metrics for Request For Proposal(RFP)

2012 ( 1 ) 1 - 10 2012.3

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