Faculty Profiles - MONDEN Akito

MISC - MONDEN Akito

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Fault-Prone モジュール判別におけるF1値とソフトウェア信頼性の関係 Reviewed

柿元健, 門田暁人, 亀井靖高, 柗本真佑, 松本健一

ソフトウェア工学の基礎XIV, 日本ソフトウェア科学会FOSE2007 75 - 83 2007.11

The Effect of Removing Noisy Projects in Software Development Effort Estimation

24 1 - 7 2007.9

The effects of over and under sampling on fault-prone module detection Reviewed

Yasutaka Kamei, Akito Monden, Shinsuke Matsumoto, Takeshi Kakimoto, Ken-ichi Matsumoto

ESEM '07 : Proc. First Intl. Symposium on Empirical Softw. Eng. and Measurement 196 - 204 2007.9

Is This Cost Estimate Reliable? - the Relationship between Homogeneity of Analogues and Estimation Reliability Reviewed

Naoki Ohsugi, Akito Monden, Nahomi Kikuchi, Michael Barker, Masateru Tsunoda, Takeshi Kakimoto, Ken-ichi Matsumoto

In Proceedings of the 1st International Symposium on Empirical Software Engineering and Measurement 384 - 392 2007.9

Applying Sampling Methods to Fault-prone Module Detection

2007.8

プロジェクト間の類似性に基づくソフトウェアメトリクスの欠損値の補完

田村晃一, 柿元健, 戸田航史, 角田雅照, 門田暁人, 松本健一

ソフトウェア信頼性研究会第4 回ワークショップ 17 - 23 2007.6

類似した命令列の畳込みによるプログラムの耐タンパ性の向上

Takashi Nishioka, Hiroki Yamauchi, Akito Monden, Masahide Nakamura, Ken-ichi Matsumoto

情報処理学会研究報告, ソフトウェア工学研究会 2007-SE-155 ( 33 ) 167 - 174 2007.3

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

This technical report proposes a software tamper proofing method called instruction folding. In this method, a set of similar (but sligtly different) instruction sequences is detected in a program, and then, they are integrated (folded) into a single instruction sequence. A self-modifying mechanism is applied to the folded sequence to bridge the gap between those slightly different sequences at run-time. The folded sequence is tamper resistant since tampering affects every functionality where original (similar) instruction sequences were present.

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高級言語レベルでの偽装内容の指定が可能なプログラムのカムフラージュ

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

2007年暗号と情報セキュリティシンポジウム(SCIS2007)予稿集CD-ROM(講演番号4D1-3) 2007.1

C言語におけるライブラリ呼び出し隠蔽のための名前難読化手法

Haruaki Tamada, Masahide Nakamura, Akito Monden, Ken-ichi Matsumoto

暗号と情報セキュリティシンポジウム (SCIS2007) 2007.1

ソフトウェア開発工数予測における特異プロジェクト除去の効果

渡邊瑞穂, 柿元健, 戸田航史, 門田暁人, 松本健一

日本ソフトウエア科学会大会講演論文集(CD-ROM) 24th 7B-2 2007

A proposal for analysis and prediction for software projects using in-process measurements and collaborative filtering of a benchmarks database

Yoshiki Mitani, Nahomi Kikuchi, Tomoko Matsumura, Naoki Ohsugi, Akito Monden, Yoshiki Higo, Katsuro Inoue, Michael Barker, Ken-ichi Matsumoto

Journal of Software Measurement 1 ( 1 ) 1 - 11 2007

Mining quantitative rules in a software project data set

Shuji Morisaki, Akito Monden, Haruaki Tamada, Tomoko Matsumura, Ken-ichi Matsumoto

IPSJ Journal 48 ( 8 ) 2725 - 2734 2007

マルチベンダ情報システム開発における障害修正工数の要因分析

松村知子, 門田暁人, 森崎修司, 松本健一

情報処理学会論文誌 48 ( 5 ) 1926 - 1935 2007

Variable Selection for Effort Estimation based on Similarity of Projects

TAKI Shinya, KAKIMOTO Takeshi, TSUNODA Masateru, OHSUGI Naoki, MONDEN Akito, MATSUMOTO Ken-ichi

Technical report of IEICE. SS 106 ( 325 ) 1 - 6 2006.10

Language：Japanese Publisher：一般社団法人電子情報通信学会

Analogy-based estimation methods have been researched for deriving accurate effort estimate required to complete a project; however, there were few activities to develop efficient variable selection methods. In this paper, we propose Correlation Based Selection (CBS) excluding variables that do not correlate with the total effort. The proposed method needs few calculation amounts because it calculates only the correlation coefficients between the total effort and each variable in the data. We experimentally evaluated accuracy of the proposed method by using the data collected from a softwar...

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Analyzing Oss Developers’ Working Time Using Mailing Lists Archives Reviewed

Masateru Tsunoda, Akito Monden, Takeshi Kakimoto, Yasutaka Kamei, Ken-ichi Matsumoto

In Proceedings of the 3rd International Workshop on Mining Software Repositories Mining Challenge 2006 181 - 182 2006.5

Using Software Birthmarks to Identify Similar Classes and Major Functionalities Reviewed

Takeshi Kakimoto, Akito Monden, Yasutaka Kamei, Haruaki Tamada, Masateru Tsunoda, Ken-ichi Matsumoto

Proceedings of the 3rd International Workshop on Mining Software Repositories (MSR2006) Mining Challenge 2006, May, Shanghai, China 171 - 172 2006.5

Software Productivity Analysis with respect to Outsourcing Ratio

TSUNODA Masateru, MONDEN Akito, YADOHISA Hiroshi, KIKUCHI Nahomi, MATSUMOTO Ken-ichi

IEICE technical report 106 ( 16 ) 19 - 24 2006.4

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

To clarify the relation between controllable attributes of a software development and its productivity, this paper experimentally analyzed 253 enterprise software development projects of software development companies, established by Software Engineering Center (SEC), Information-technology Promotion Agency. In the experiment, as controllable attributes, we focused on the outsourcing ratio of a software project, defined as an effort outsourced to subcontract companies divided by a whole development effort. Our major findings include larger outsourcing ratio yields worse productivity.

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A Recommendation Method of Useful Software Components for Ongoing Project

KAMEI Yasutaka, TSUNODA Masateru, KAKIMOTO Takeshi, OHSUGI Naoki, MONDEN Akito, MATSUMOTO Ken-ichi

Technical report of IEICE. SS 106 ( 16 ) 25 - 30 2006.4

Language：Japanese Publisher：一般社団法人電子情報通信学会

Many software components have been provided by development platform vendors, for achieving efficient development of high quality software; however, some practitioners cannot find useful components because number of the provided components is too large. For solving this problem, we propose a method based on collaborative filtering for recommending useful components to each ongoing project. In the proposed method, at first, some past projects similar to given ongoing project are retrieved by calculating similarity with number of common components used in the ongoing project and each past proj...

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企業横断的収集データに基づくソフトウェア開発プロジェクトの工数見積もり

大杉直樹, 角田雅照, 門田暁人, 松村知子, 松本健一, 菊地奈穂美

SEC journal 2 ( 5 ) 16 - 25 2006

Characterizing Software Projects Unpredictable by Effort Estimation Models

TODA Koji, TSUNODA Masateru, MONDEN Akito, MATSUMOTO Ken-ichi

IEICE technical report 105 ( 491 ) 67 - 72 2005.12

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

Effort prediction is necessary for project manegers to make software development plan. To predict development effort, various estimation moedels such as multivariate regression models or neural network model have been proposed. However, there is much difference in effort prediction accuracy among predicted projects. In this study, we experimentally analyzed the project charactaristics whose prediction accuracy tend to become worse. As a result, we identified some characteristics.

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