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Profiling-Guided Bayesian Optimization of JVM Configurations
PROBO is presented, an iterative approach that leverages JVM runtime metrics to guide Bayesian optimization for testing time reduction and generates candidate flag configurations through three complementary strategies guided by expected testing time improvement.
Optimizing Search for Tests Relevant to Order-Dependent Flaky Tests
Three different types of search options are proposed to reduce the overall search time of iFixFlakies: split options that leverage hierarchical, code similarity, and historical information to better form the subsequences for further search, a pick option that prioritizes running a subsequence of tests based on its expe...