Faculty Profiles - MONDEN Akito

Papers - MONDEN Akito

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命令の乱雑さに基づくプログラム理解性の評価 Reviewed

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- 2012.12

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 2012.9

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 2012.9

Handling categorical variables in effort estimation Reviewed

Masateru Tsunoda, Sousuke Amasaki, Akito Monden

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

Language：English Publishing type：Research paper (international conference proceedings)

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

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Factors Affecting Maintenance Efficiency of Custom Made Software

Masateru Tsunoda, Akito Monden, Kenichi Matsumoto, Tomoki Oshino

Computer Software 29 ( 3 ) 157 - 163 2012

Language：Japanese Publishing type：Research paper (scientific journal)

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).

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実装者に依存しないプログラム規模尺度の構築の試み Reviewed

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 2011.11

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) 2011.10

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

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 2011.5

Language：English Publishing type：Research paper (scientific journal) Publisher：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

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

Akito Monden, Satoshi Okahara, Yuki Manabe, Kenichi Matsumoto

IEEE SOFTWARE 28 ( 2 ) 42 - 47 2011.3

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 Reviewed

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

コンピュータソフトウェア 28 ( 1 ) 1_300 - 1_305 2011.1

A model of project supervision for process correction and improvement Reviewed

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

Language：English Publishing type：Research paper (international conference proceedings)

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

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An Empirical Study of Fault Prediction with Code Clone Metrics Reviewed

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

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

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

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

Empirical evaluation of cost overrun prediction with imbalance data Reviewed

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

Language：English Publishing type：Research paper (international conference proceedings)

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

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On building programmer-independent program size measure

Akito Monden, Ken-Ichi Matsumoto, Shinji Uchida

Computer Software 28 ( 4 ) 377 - 382 2011

Language：Japanese Publishing type：Research paper (scientific journal)

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.

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Program camouflage at the source code level

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

Computer Software 28 ( 1 ) 300 - 305 2011

Language：Japanese Publishing type：Research paper (scientific journal)

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.

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

Yuichiro Kanzaki, Akito Monden

Proc. of the the IASTED International Conference on Software Engineering and Applications (IASTED SEA 2010) 325 - 331 2010.11

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 Reviewed

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 2010.11

An Analysis of Developer Metrics for Fault Prediction Reviewed

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

Proc. 6th International Conference on Predictive Models in Software Engineering (PROMISE2010) USB - USB 2010.9

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