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Test Suite Optimization Using Machine Learning Techniques: A Comprehensive Study

Software testing is an essential yet costly phase of the software development lifecycle. While machine learning-based test suite optimization techniques have shown promise in reducing testing costs and improving fault detection, a comprehensive evaluation of their effectiveness across different envi...

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Autori principali: Abid Mehmood, Qazi Mudassar Ilyas, Muneer Ahmad, Zhongliang Shi
Natura: Artigo
Lingua:Inglês
Pubblicazione: IEEE 2024-01-01
Serie:IEEE Access
Soggetti:
Software quality
software testing
test suite optimization (TSO)
machine learning in software testing
test case selection
evaluation metrics for test suite optimization
Accesso online:https://ieeexplore.ieee.org/document/10741285/
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