SaFReL uses fuzzy reinforcement learning and a two-phase transfer strategy to generate resource-reduction test cases that reach software performance breaking points more efficiently than random stress testing in a simulated environment.
Solving enterprise applications performance puzzles: queuing models to the rescue
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An Autonomous Performance Testing Framework using Self-Adaptive Fuzzy Reinforcement Learning
SaFReL uses fuzzy reinforcement learning and a two-phase transfer strategy to generate resource-reduction test cases that reach software performance breaking points more efficiently than random stress testing in a simulated environment.