論文

査読有り
2018年9月1日

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

IEICE Transactions on Information and Systems
  • Takashi WATANABE
  • ,
  • Akito MONDEN
  • ,
  • Zeynep YÜCEL
  • ,
  • Yasutaka KAMEI
  • ,
  • Shuji MORISAKI

E101.D
9
開始ページ
2269
終了ページ
2278
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1587/transinf.2018edp7020
出版者・発行元
Institute of Electronics, Information and Communications Engineers (IEICE)

Association rule mining discovers relationships among variables in a data set, representing them as rules. These are expected to often have predictive abilities, that is, to be able to predict future events, but commonly used rule interestingness measures, such as support and confidence, do not directly assess their predictive power. This paper proposes a cross-validation-based metric that quantifies the predictive power of such rules for characterizing software defects. The results of evaluation this metric experimentally using four open-source data sets (Mylyn, NetBeans, Apache Ant and jEdit) show that it can improve rule prioritization performance over conventional metrics (support, confidence and odds ratio) by 72.8%for Mylyn, 15.0%for NetBeans, 10.5%for Apache Ant and 0 for jEdit in terms of SumNormPre(100) precision criterion. This suggests that the proposed metric can provide better rule prioritization performance than conventional metrics and can at least provide similar performance even in the worst case.

リンク情報
DOI
https://doi.org/10.1587/transinf.2018edp7020
DBLP
https://dblp.uni-trier.de/rec/journals/ieicet/WatanabeMYKM18
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000443273900011&DestApp=WOS_CPL
URL
https://www.jstage.jst.go.jp/article/transinf/E101.D/9/E101.D_2018EDP7020/_pdf
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85053838288&origin=inward 本文へのリンクあり
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85053838288&origin=inward
ID情報
  • DOI : 10.1587/transinf.2018edp7020
  • ISSN : 0916-8532
  • eISSN : 1745-1361
  • DBLP ID : journals/ieicet/WatanabeMYKM18
  • SCOPUS ID : 85053838288
  • Web of Science ID : WOS:000443273900011

エクスポート
BibTeX RIS