Faculty Profiles - MONDEN Akito

MISC - MONDEN Akito

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線形重回帰モデルを用いたソフトウェア開発工数予測における対数変換の効果

門田暁人

コンピュータソフトウェア 27 ( 4 ) 234 - 239 2010

Detection of Source Code Reuse based on Code Clone Metrics

OKAHARA Satoshi, MANABE Yuki, YAMAUCHI Hiroki, MONDEN Akito, MATSUMOTO Ken-ichi

IEICE technical report 109 ( 307 ) 73 - 78 2009.11

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

In recent software development, programmers often reuse source code of Open Source Software (OSS) as a part of commercial product. While reusing OSS increase productivity, it raises a new risks of violating OSS license to both software venders and purchasers. This paper proposes a method to detect reuse of source code based on code clone metrics. For two code clone metrics, maximum length of code clone and partial similarity of software, we experimentally derived criteria to identify the reuse, by using 50 OSS packages. By using derived criteria, we could correctly identify 84% of products containing reused code without having false-positive.

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Performance Improvement of Fault-prone Module Prediction by Normalization of Software Metrics

KURAMOTO Tatsuya, MATSUMOTO Shinsuke, KAMEI Yasutaka, MONDEN Akito, MATSUMOTO Ken-ichi

2009 ( 11 ) 1 - 6 2009.10

B-009 A Method for Hiding Program Code Focused on the Execution Time Difference

Kanzaki Yuichiro, Monden Akito

8 ( 1 ) 361 - 364 2009.8

Software Classification According to their Functionality based on Used Classes

USHIMADO Tomoyoshi, MONDEN Akito, TAMADA Haruaki, MATSUMOTO Kenichi

IEICE technical report 109 ( 170 ) 31 - 36 2009.7

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

In software development, to implement given functional specifications, developers generally use class files from well-known class libraries. Therefore, a set of library classes used by software seems to have a strong relationship with the functionality of the software. In this paper we propose a method to classify software from their functional viewpoints based on used classes. In the proposed method, the distance between two software is calculated based on the number of uses of each library class, and, software is classified by hierarchical clustering. As a result of an experimental evaluation, the most appropriate classification was obtained when the tf-idf method and Euclidean distance was employed to calculate the distance.

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Modeling of Test Effort Allocation and Software Reliability in Fault-prone Module Detection

50 ( 7 ) 1716 - 1724 2009.7

The Effect of Collaborative Filtering on Software Component Recommendation

2009.3

自主研究ソフトウェア開発費に影響する要因の分析

角田雅照, 門田暁人, 松本健一

経済調査研究レビュー ( 4 ) 80 - 92 2009.3

Experimentally Deriving Probability of Program Piracy based on Length of Code Clone

OKAHARA Satoshi, MANABE Yuki, YAMAUCHI Hiroki, MONDEN Akito, MATSUMOTO Kenichi, INOUE Katsuro

IEICE technical report 108 ( 362 ) 7 - 11 2008.12

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

Generally, if a piece of code clone was found between two different programs, a plagiarism or a code reuse (program piracy) might be made. On the other hand, code clone also occurs accidentally or by code idioms. This paper experimentally derives the probability of program piracy based on length of code clone. In the experiment, we identified code clones among many different programs which we confirmed that program piracy has not been made, and formulated by power approximation the relation between the length of code clone and its derivation probability. By using this formula, we can compute the probability of program piracy from the maximum length of code clone derived from given two programs.

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Empirical Evaluation of Missing Data Techniques for Effort Estimation Reviewed

Koichi Tamura, Takeshi Kakimoto, Koji Toda, Masateru Tsunoda, Akito Monden, Ken-ichi Matsumoto

In Proceedings of 2nd International Workshop on Software Productivity Analysis And Cost Estimation 4 - 9 2008.12

バグ予測で信頼性はどれだけ向上するのか？-テスト工数割り当ての観点からの従来研究の評価 Reviewed

柿元健, 亀井靖高, 柗本真祐, 門田暁人, 松本健一, 楠本真二

ソフトウェア工学の基礎XV，日本ソフトウェア科学会FOSE2008 63 - 68 2008.11

The Heisei 19 IPSJ Nagao Special Researcher Award : IPSJ Nagao Special Resercher Award : Data Driven Software Project Management

49 ( 7 ) 844 - 844 2008.7

Effective Use of Software Development Data from Software Users' View Points

松村知子, 森崎修司, 門田暁人, 楠本真二, 飯田元, 松本健一, 久保浩三, 井上克郎

情報処理学会研究報告 2008 ( 29(SE-159) ) 219 - 226 2008.3

Language：Japanese Publisher：Information Processing Society of Japan (IPSJ)

Nowadays, high quality software system is required because our society increasingly depends on software systems. We propose "Software Tag", a technology to share the software development data, for software users to choose secure and reliable software. Software tags include data of software development process and quality of software artifacts, and should be shown to software users to judge if it would be usable or not. In this report, we explain the idea of software tags and usage models, and report the progress of detailed technical researches for practical application to the society.

Measurement of Program Reuse-ratio in Enhancement Projects using Software Birthmarks

TAMADA Haruaki, MORISAKI Shuji, MONDEN Akito, MATSUMOTO Ken-ichi

70 399 - 400 2008.3