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On the Effectiveness of Feature Selection Techniques in the Context of ML-Based Regression Test Prioritization

Regression testing is essential for maintaining software functionality in continuous integration (CI) systems, but it can become increasingly costly as software complexity grows. Machine learning-based Regression Test Prioritization (RTP) techniques have been developed to prioritize test cases based...

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Hoofdauteurs: Md Asif Khan, Akramul Azim, Ramiro Liscano, Kevin Smith, Yee-Kang Chang, Gkerta Seferi, Qasim Tauseef
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: IEEE 2024-01-01
Reeks:IEEE Access
Onderwerpen:
Continuous integration
feature selection
machine learning
test case prioritization
Online toegang:https://ieeexplore.ieee.org/document/10679125/
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