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Title

Bottlenecks in software defect prediction implementation in industrial projects

Authors

Year of publication

2015

Published in

Foundations of Computing and Decision Sciences

Journal year: 2015 | Journal volume: vol. 40 | Journal number: no. 1

Article type

scientific article

Publication language

english

Keywords
EN
  • software defect prediction
  • industrial application
  • depress framework
Abstract

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.

Pages (from - to)

17 - 33

DOI

10.1515/fcds-2015-0002

URL

https://www.sciendo.com/article/10.1515/fcds-2015-0002

License type

CC BY-NC-ND (attribution - noncommercial - no derivatives)

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public

Ministry points / journal

15

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