Software quality management: Machine learning for recommendation of regression test suites
Aim/purpose – This study aims to demonstrate machine learning (ML) applications to enhance software development quality management, specifically through optimizing regression test suites. This research aims to demonstrate how ML can predict and prioritize the most relevant regression tests based on...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2025-01-01
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| Series: | Journal of Economics and Management |
| Subjects: | |
| Online Access: | https://doi.org/10.22367/jem.2025.47.05 |
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| _version_ | 1849235903577325568 |
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| author | Owoc Mieczysław Lech Stambulski Adam |
| author_facet | Owoc Mieczysław Lech Stambulski Adam |
| author_sort | Owoc Mieczysław Lech |
| collection | DOAJ |
| description | Aim/purpose – This study aims to demonstrate machine learning (ML) applications to enhance software development quality management, specifically through optimizing regression test suites. This research aims to demonstrate how ML can predict and prioritize the most relevant regression tests based on software changes and historical testing data, thereby reducing unnecessary testing, assuring software quality, and leading to significant cost savings. |
| format | Article |
| id | doaj-art-fe758ccc51fd4fc788b2854480cb786f |
| institution | Kabale University |
| issn | 2719-9975 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Journal of Economics and Management |
| spelling | doaj-art-fe758ccc51fd4fc788b2854480cb786f2025-08-20T04:02:32ZengSciendoJournal of Economics and Management2719-99752025-01-0147111713710.22367/jem.2025.47.05Software quality management: Machine learning for recommendation of regression test suitesOwoc Mieczysław Lech0Stambulski Adam11Department of Business Intelligence in Management, Faculty of Business and Management, Wroclaw University of Economics and Business, Poland2Department of Business Intelligence in Management, Faculty of Business and Management, Wroclaw University of Economics and Business, PolandAim/purpose – This study aims to demonstrate machine learning (ML) applications to enhance software development quality management, specifically through optimizing regression test suites. This research aims to demonstrate how ML can predict and prioritize the most relevant regression tests based on software changes and historical testing data, thereby reducing unnecessary testing, assuring software quality, and leading to significant cost savings.https://doi.org/10.22367/jem.2025.47.05quality managementmachine learningsoftware testingregression test suitec61c63c91 |
| spellingShingle | Owoc Mieczysław Lech Stambulski Adam Software quality management: Machine learning for recommendation of regression test suites Journal of Economics and Management quality management machine learning software testing regression test suite c61 c63 c91 |
| title | Software quality management: Machine learning for recommendation of regression test suites |
| title_full | Software quality management: Machine learning for recommendation of regression test suites |
| title_fullStr | Software quality management: Machine learning for recommendation of regression test suites |
| title_full_unstemmed | Software quality management: Machine learning for recommendation of regression test suites |
| title_short | Software quality management: Machine learning for recommendation of regression test suites |
| title_sort | software quality management machine learning for recommendation of regression test suites |
| topic | quality management machine learning software testing regression test suite c61 c63 c91 |
| url | https://doi.org/10.22367/jem.2025.47.05 |
| work_keys_str_mv | AT owocmieczysławlech softwarequalitymanagementmachinelearningforrecommendationofregressiontestsuites AT stambulskiadam softwarequalitymanagementmachinelearningforrecommendationofregressiontestsuites |