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, cilt.52, sa.11, ss.1242-1257, 2010 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 52 Sayı: 11
  • Basım Tarihi: 2010
  • Doi Numarası: 10.1016/j.infsof.2010.06.006
  • Dergi Adı: INFORMATION AND SOFTWARE TECHNOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1242-1257
  • İstanbul Teknik Üniversitesi Adresli: Hayır

Özet

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.