A commit-aware learning-based test case prioritization technique using diffs, coverage relations, and history outperforms non-commit-aware baselines on five Defects4J projects under cross-project validation.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.SE 2years
2026 2verdicts
UNVERDICTED 2roles
background 1polarities
background 1representative citing papers
Emote enhances EvoSuite by allowing non-target setup calls in modular tests and refocusing the fitness function on the target call chain, delivering 15.15% higher target method coverage on an SF100 subset.
citing papers explorer
-
Commit-Aware Learning-Based Test Case Prioritization for Continuous Integration
A commit-aware learning-based test case prioritization technique using diffs, coverage relations, and history outperforms non-commit-aware baselines on five Defects4J projects under cross-project validation.
-
On the Effectiveness of Modular Testing in EvoSuite
Emote enhances EvoSuite by allowing non-target setup calls in modular tests and refocusing the fitness function on the target call chain, delivering 15.15% higher target method coverage on an SF100 subset.