publication . Article . 2011

choosing software metrics for defect prediction an investigation on feature selection techniques

Kehan Gao; Taghi M. Khoshgoftaar; Huanjing Wang; Naeem Seliya;
Open Access
  • Published: 18 Mar 2011 Journal: Software: Practice and Experience, volume 41, pages 579-606 (issn: 0038-0644, Copyright policy)
  • Publisher: Wiley
Abstract
The selection of software metrics for building software quality prediction models is a search-based software engineering problem. An exhaustive search for such metrics is usually not feasible due to limited project resources, especially if the number of available metrics is large. Defect prediction models are necessary in aiding project managers for better utilizing valuable project resources for software quality improvement. The efficacy and usefulness of a fault-proneness prediction model is only as good as the quality of the software measurement data. This study focuses on the problem of attribute selection in the context of software quality estimation. A com...
Subjects
free text keywords: Software, Machine learning, computer.software_genre, computer, Search algorithm, Software system, Software metric, Search-based software engineering, Artificial intelligence, business.industry, business, Feature selection, Statistical classification, Software measurement, Software quality, Data mining, Computer science
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