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A Comparison of Reinforcement Learning Frameworks for Software Testing Tasks. (arXiv:2208.12136v1 [cs.SE])
cs.LG updates on arXiv.org arxiv.org
Software testing activities aim to find the possible defects of a software
product and ensure that the product meets its expected requirements. Some
software testing approached are lacking automation or are partly automated
which increases the testing time and overall software testing costs. Recently,
Reinforcement Learning (RL) has been successfully employed in complex testing
tasks such as game testing, regression testing, and test case prioritization to
automate the process and provide continuous adaptation. Practitioners can
employ RL by implementing from …
arxiv comparison frameworks learning reinforcement reinforcement learning software software testing testing