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 established in cooperation between Wroclaw University of Technology and one of the leading automotive software development companies to rese...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2015-03-01
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| Series: | Foundations of Computing and Decision Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/fcds-2015-0002 |
| _version_ | 1811321170321997824 |
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| author | Hryszko Jarosław Madeyski Lech |
| author_facet | Hryszko Jarosław Madeyski Lech |
| author_sort | Hryszko Jarosław |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T13:13:23Z |
| format | Article |
| id | doaj.art-d5ad179609dd431a86d9f26729b18b60 |
| institution | Directory Open Access Journal |
| issn | 2300-3405 |
| language | English |
| last_indexed | 2024-04-13T13:13:23Z |
| publishDate | 2015-03-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Foundations of Computing and Decision Sciences |
| spelling | doaj.art-d5ad179609dd431a86d9f26729b18b602022-12-22T02:45:33ZengSciendoFoundations of Computing and Decision Sciences2300-34052015-03-01401173310.1515/fcds-2015-0002fcds-2015-0002Bottlenecks in Software Defect Prediction Implementation in Industrial ProjectsHryszko Jarosław0Madeyski Lech1Wroclaw University of Technology, Faculty of Computer Science and ManagementWroclaw University of Technology, Faculty of Computer Science and ManagementCase 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.https://doi.org/10.1515/fcds-2015-0002software defect predictionindustrial applicationdepress framework |
| spellingShingle | Hryszko Jarosław Madeyski Lech Bottlenecks in Software Defect Prediction Implementation in Industrial Projects Foundations of Computing and Decision Sciences software defect prediction industrial application depress framework |
| title | Bottlenecks in Software Defect Prediction Implementation in Industrial Projects |
| title_full | Bottlenecks in Software Defect Prediction Implementation in Industrial Projects |
| title_fullStr | Bottlenecks in Software Defect Prediction Implementation in Industrial Projects |
| title_full_unstemmed | Bottlenecks in Software Defect Prediction Implementation in Industrial Projects |
| title_short | Bottlenecks in Software Defect Prediction Implementation in Industrial Projects |
| title_sort | bottlenecks in software defect prediction implementation in industrial projects |
| topic | software defect prediction industrial application depress framework |
| url | https://doi.org/10.1515/fcds-2015-0002 |
| work_keys_str_mv | AT hryszkojarosław bottlenecksinsoftwaredefectpredictionimplementationinindustrialprojects AT madeyskilech bottlenecksinsoftwaredefectpredictionimplementationinindustrialprojects |