<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Case studies focused on software defect prediction in real, industrial software development projects are extremely rare. We report on dedicated R&amp;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&amp;D project, we verified what kind of problems can be encountered. This work summarizes results of that phase.</p></abstract>

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.

Bottlenecks in Software Defect Prediction Implementation in Industrial Projects

Wroclaw University of Technology, Faculty of Computer Science and Management

Foundations of Computing and Decision Sciences

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Bottlenecks in Software Defect Prediction Implementation in Industrial Projects"}

Case studies focused on software defect prediction in real, industrial software development projects are extremely rare. We report on dedicated R&D project...

Bottlenecks in Software Defect Prediction Implementation in Industrial Projects

Online veröffentlicht: 01. März 2015

Seitenbereich: 17 - 33

DOI: https://doi.org/10.1515/fcds-2015-0002

Schlüsselwörter
software defect prediction, industrial application, depress framework

© 2015 Jarosław Hryszko and Lech Madeyski

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Bottlenecks in Software Defect Prediction Implementation in Industrial Projects

Online veröffentlicht: 01. März 2015

Seitenbereich: 17 - 33

DOI: https://doi.org/10.1515/fcds-2015-0002

Schlüsselwörtersoftware defect prediction, industrial application, depress framework

© 2015 Jarosław Hryszko and Lech Madeyski

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
software defect prediction, industrial application, depress framework