Test case selection and prioritization using machine learning: a systematic literature review

R Pan, M Bagherzadeh, TA Ghaleb… - Empirical Software …, 2022 - Springer
Regression testing is an essential activity to assure that software code changes do not
adversely affect existing functionalities. With the wide adoption of Continuous Integration …

Machine learning applied to software testing: A systematic mapping study

VHS Durelli, RS Durelli, SS Borges… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Software testing involves probing into the behavior of software systems to uncover faults.
Most testing activities are complex and costly, so a practical strategy that has been adopted …

Reinforcement learning based curiosity-driven testing of Android applications

M Pan, A Huang, G Wang, T Zhang, X Li - Proceedings of the 29th ACM …, 2020 - dl.acm.org
Mobile applications play an important role in our daily life, while it still remains a challenge
to guarantee their correctness. Model-based and systematic approaches have been applied …

Wuji: Automatic online combat game testing using evolutionary deep reinforcement learning

Y Zheng, X Xie, T Su, L Ma, J Hao… - 2019 34th IEEE/ACM …, 2019 - ieeexplore.ieee.org
Game testing has been long recognized as a notoriously challenging task, which mainly
relies on manual playing and scripting based testing in game industry. Even until recently …

Towards pattern-based change verification framework for cloud-enabled healthcare component-based

S Ali, Y Hafeez, NZ Jhanjhi, M Humayun, M Imran… - Ieee …, 2020 - ieeexplore.ieee.org
To survive in the competitive environment, most organizations have adopted component-
based software development strategies in the rapid technology advancement era and the …

Automatic web testing using curiosity-driven reinforcement learning

Y Zheng, Y Liu, X Xie, Y Liu, L Ma… - 2021 IEEE/ACM 43rd …, 2021 - ieeexplore.ieee.org
Web testing has long been recognized as a notoriously difficult task. Even nowadays, web
testing still mainly relies on manual efforts in many cases while automated web testing is still …

Reinforcement learning for test case prioritization

M Bagherzadeh, N Kahani… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Continuous Integration (CI) significantly reduces integration problems, speeds up
development time, and shortens release time. However, it also introduces new challenges …

Automation of software test data generation using genetic algorithm and reinforcement learning

M Esnaashari, AH Damia - Expert Systems with Applications, 2021 - Elsevier
Software testing is one of the most important methods of analyzing software quality
assurance. This process is very time consuming and expensive and accounts for almost …

Learning-to-rank vs ranking-to-learn: Strategies for regression testing in continuous integration

A Bertolino, A Guerriero, B Miranda… - Proceedings of the …, 2020 - dl.acm.org
In Continuous Integration (CI), regression testing is constrained by the time between
commits. This demands for careful selection and/or prioritization of test cases within test …

Test Case Prioritization in Continuous Integration environments: A systematic mapping study

JAP Lima, SR Vergilio - Information and Software Technology, 2020 - Elsevier
Abstract Context: Continuous Integration (CI) environments allow frequent integration of
software changes, making software evolution more rapid and cost-effective. In such …