pith:24OPHILH
Commit-Aware Learning-Based Test Case Prioritization for Continuous Integration
A learning model that adds structural details from code commits to coverage and history data improves test prioritization in continuous integration pipelines.
arxiv:2604.25363 v2 · 2026-04-28 · cs.SE
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\pithnumber{24OPHILHXJ2VYJRO5AC4OKAXOP}
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Record completeness
Claims
Results show that the commit-aware TCP significantly outperform non-commit-aware-baselines in both classification and prioritization effectiveness.
That structural properties extracted from version-control diffs add predictive value beyond test coverage and historical execution data, and that the learned model generalizes under leave-one-project-out cross-project validation without project-specific tuning.
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.
Receipt and verification
| First computed | 2026-06-11T01:10:36.842623Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d71cf3a167ba755c262ee805c7281773c698a510bcfe1b43df55c1b1d93402f9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/24OPHILHXJ2VYJRO5AC4OKAXOP \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: d71cf3a167ba755c262ee805c7281773c698a510bcfe1b43df55c1b1d93402f9
Canonical record JSON
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