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Wing Lam

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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.

Abdelrahman Baz, Wing Lam, August Shi · 0 citations

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...

Suzzana Rafi, Meenam Pious, Shanto Rahman et al. · 0 citations
Jul 2026

Test Coverage Analysis of Agentic Pull Requests

Analysis of agent-generated PRs from the AIDev dataset studies how often agents include test changes and how well covered are code changes by existing and agent-written tests, finding error-handling constructs are the most consistently under-tested.

A. Dipongkor, Talank Baral, Wing Lam et al. · 0 citations

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