An empirical study of fault prediction with code clone metrics

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

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

12 被引用数 (Scopus)

抄録

In this paper, we present a replicated study to predict fault-prone modules with code clone metrics to follow Baba's experiment [1]. We empirically evaluated the performance of fault prediction models with clone metrics using 3 datasets from the Eclipse project and compared it to fault prediction without clone metrics. Contrary to the original Baba's experiment, we could not significantly support the effect of clone metrics, i.e., the result showed that F1-measure of fault prediction was not improved by adding clone metrics to the prediction model. To explain this result, this paper analyzed the relationship between clone metrics and fault density. The result suggested that clone metrics were effective in fault prediction for large modules but not for small modules.

本文言語英語
ホスト出版物のタイトル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
ページ55-61
ページ数7
DOI
出版ステータス出版済み - 12 1 2011
イベント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 - Nara, 日本
継続期間: 11 3 201111 4 2011

出版物シリーズ

名前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

その他

その他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
国/地域日本
CityNara
Period11/3/1111/4/11

All Science Journal Classification (ASJC) codes

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