Empirical comparison on 10 Node.js apps finds only 22% overlap between history-based and dynamic change-impact candidates, with dynamic analysis more precise and history adding missed candidates, supporting hybrid use.
Impact analysis by mining software and change request repositories,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.SE 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Change Impact Recommendation for JavaScript: Lessons from History and Runtime Analysis
Empirical comparison on 10 Node.js apps finds only 22% overlap between history-based and dynamic change-impact candidates, with dynamic analysis more precise and history adding missed candidates, supporting hybrid use.