Practical considerations in deploying statistical methods for defect prediction: A case study within the Turkish telecommunications industry

Tosun A., Bener A., Turhan B., Menzies T.

INFORMATION AND SOFTWARE TECHNOLOGY, vol.52, no.11, pp.1242-1257, 2010 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 52 Issue: 11
  • Publication Date: 2010
  • Doi Number: 10.1016/j.infsof.2010.06.006
  • Journal Name: INFORMATION AND SOFTWARE TECHNOLOGY
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.1242-1257
  • Istanbul Technical University Affiliated: No

Abstract

Context: Building defect prediction models in large organizations has many challenges due to limited resources and tight schedules in the software development lifecycle. It is not easy to collect data, utilize any type of algorithm and build a permanent model at once. We have conducted a study in a large telecommunications company in Turkey to employ a software measurement program and to predict pre-release defects. Based on our prior publication, we have shared our experience in terms of the project steps (i.e. challenges and opportunities). We have further introduced new techniques that improve our earlier results.