Art

J-GLOBAL ID：201802247118687584   Reference number：18A1846622

Cross-Validation-Based Association Rule Prioritization Metric for Software Defect Characterization

ソフトウェア欠陥特性化のための交差検証法に基づく相関ルール優先順位付けメトリック

Author (5)： WATANABE Takashi (Okayama University) ,  MONDEN Akito (Okayama University) ,  YUECEL Zeynep (Okayama University) ,  KAMEI Yasutaka (Kyushu University) ,  MORISAKI Shuji (Nagoya University)
Material： IEICE Transactions on Information and Systems (Web)  (IEICE Trans Inf Syst (Web))
Volume： E101.D  Issue： 9  Page： 2269-2278(J-STAGE)  Publication year： 2018 
JST Material Number： U0469A  ISSN： 1745-1361  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *software ,  *cross validation method ,  *association rule ,  priority ranking ,  number(mathematics) ,  data mining ,  set ,  ability ,  forecast ,  ratio
Semi thesaurus term： open source ,  Odds Ratio ,  Dataset ,  hop count metric ,  defect prediction ,  *association rule mining ,  prediction capability

Author keywords (5)： association rule mining ,  defect prediction ,  cross-validation ,  data mining ,  software quality

JST classification (1)： Computer system development  (JD02010R)

Reference (21)：

• [1] A. Monden, J. Keung, S. Morisaki, Y. Kamei, and K. Matsumoto, “A heuristic rule reduction approach to software fault-proneness prediction,” Software Engineering Conference (APSEC), 2012 19th Asia-Pacific, pp.838-847, IEEE, Dec. 2012. 10.1109/apsec.2012.103
• [2] S. Morisaki, A. Monden, T. Matsumura, H. Tamada, and K. Matsumoto, “Defect data analysis based on extended association rule mining,” Fourth International Workshop on Mining Software Repositories (MSR'07:ICSE Workshops 2007), pp.3-3, May 2007. 10.1109/msr.2007.5
• [3] Q. Song, M. Shepperd, M. Cartwright, and C. Mair, “Software defect association mining and defect correction effort prediction,” IEEE Trans. Softw. Eng., vol.32, no.2, pp.69-82, Feb. 2006. 10.1109/tse.2006.1599417
• [4] T. Watanabe, A. Monden, Y. Kamei, and S. Morisaki, “Identifying recurring association rules in software defect prediction,” 2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS), pp.1-6, June 2016. 10.1109/icis.2016.7550867
• [5] T.-D.B. Le and D. Lo, “Beyond support and confidence: Exploring interestingness measures for rule-based specification mining,” 2015 IEEE 22nd International Conference on Software Analysis, Evolution, and Reengineering (SANER), pp.331-340, March 2015. 10.1109/saner.2015.7081843

Terms in the title (7)： ソフトウェア ,  欠陥 ,  特性化 ,  交差検証法 ,  相関ルール ,  優先順位 ,  メトリック