Bottlenecks in Software Defect Prediction Implementation in Industrial Projects

• Autorzy: Hryszko J. , Madeyski L.

Identyfikatory

DOI

10.1515/fcds-2015-0002

• Języki publikacji: EN

Abstrakty

EN

Case studies focused on software defect prediction in real, industrial software development projects are extremely rare. We report on dedicated R&D project established in cooperation between Wroclaw University of Technology and one of the leading automotive software development companies to research possibilities of introduction of software defect prediction using an open source, extensible software measurement and defect prediction framework called DePress (Defect Prediction in Software Systems) the authors are involved in. In the first stage of the R&D project, we verified what kind of problems can be encountered. This work summarizes results of that phase.

Słowa kluczowe

EN

software defect prediction; industrial application; depress framework

• Wydawca: Wydawnictwo Politechniki Poznańskiej
• Czasopismo: Foundations of Computing and Decision Sciences
• Rocznik: 2015
• Tom: Vol. 40, No. 1
• Strony: 17--33
• Opis fizyczny: Bibliogr. 23 poz., rys., tab.

Twórcy

autor

Hryszko J.

• Wroclaw University of Technology, Faculty of Computer Science and Management

autor

Madeyski L.

• Wroclaw University of Technology, Faculty of Computer Science and Management

Bibliografia

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