Dealing with noise in defect prediction

Sunghun Kim, Hongyu Zhang, Rongxin Wu, Liang Gong

PDF DOI 10.1145/1985793.1985859 dblp

Abstract

Many software defect prediction models have been built using historical defect data obtained by mining software repositories (MSR). Recent studies have discovered that data so collected contain noises because current defect collection practices are based on optional bug fix keywords or bug report links in change logs. Automatically collected defect data based on the change logs could include noises.

BibTeX

@inproceedings{Kim-al:ICSE11,
  author    = {Sunghun Kim and
               Hongyu Zhang and
               Rongxin Wu and
               Liang Gong},
  title     = {Dealing with noise in defect prediction},
  booktitle = {ICSE},
  pages     = {481--490},
  publisher = {{ACM}},
  year      = {2011},
}

Dealing with noise in defect prediction

Abstract

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