J. Jiarpakdee, C. Tantithamthavorn, A. Ihara, and K. Matsumoto, "A Study of Redundant Metrics in Defect Prediction Datasets," In 27th International Symposium on Software Reliability Engineering (ISSRE), p. 106 2016.
ID 1162
分類 国際会議
タグ datasets defect metrics prediction redundant study
表題 (title) A Study of Redundant Metrics in Defect Prediction Datasets
表題 (英文)
著者名 (author) Jirayus Jiarpakdee,Chakkrit Tantithamthavorn,Akinori Ihara,Kenichi Matsumoto
英文著者名 (author) Jirayus Jiarpakdee,Chakkrit Tantithamthavorn,Akinori Ihara,Kenichi Matsumoto
編者名 (editor)
編者名 (英文)
キー (key) Jirayus Jiarpakdee,Chakkrit Tantithamthavorn,Akinori Ihara,Kenichi Matsumoto
書籍・会議録表題 (booktitle) 27th International Symposium on Software Reliability Engineering (ISSRE)
書籍・会議録表題(英文)
巻数 (volume)
号数 (number)
ページ範囲 (pages) 106
組織名 (organization)
出版元 (publisher)
出版元 (英文)
出版社住所 (address)
刊行月 (month) 0
出版年 (year) 2016
採択率 (acceptance)
URL
付加情報 (note)
注釈 (annote)
内容梗概 (abstract) Defect prediction models can help Software Quality Assurance (SQA) teams understand their past pitfalls that lead to defective modules.
However, the conclusions that are derived from defect prediction models without mitigating redundant metrics issues may be misleading.
In this paper, we set out to investigate if redundant metrics issues are affecting defect prediction studies, and its degree and causes of redundancy.
Through a case study of 101 publicly-available defect datasets of systems that span both proprietary and open source domains, we observe that (1) 10\%-67\% of metrics of the studied defect datasets are redundant, and (2) the redundancy of metrics has to do with the aggregation functions of metrics.
These findings suggest that researchers should be aware of redundant metrics prior to constructing a defect prediction model in order to maximize internal validity of their studies.
論文電子ファイル PID4429251.pdf (application/pdf) [一般閲覧可]
BiBTeXエントリ
@inproceedings{id1162,
         title = {A Study of Redundant Metrics in Defect Prediction Datasets},
        author = {Jirayus Jiarpakdee and Chakkrit Tantithamthavorn and Akinori Ihara and Kenichi Matsumoto},
     booktitle = {27th International Symposium on Software Reliability Engineering (ISSRE)},
         pages = {106},
         month = {0},
          year = {2016},
}