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- Argonne National LaboratoryUS4 papers
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cs.SE2026
ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering
Alejandro Velasco, Daniel Rodriguez-Cardenas, Dipin Khati +2
The scientific method has long guided empirical research in Software Engineering (SE), but the complexity of modern software systems often hinders its systematic application. This…
cs.SE2026★ 6 cited
Enhancing Code Understanding for Impact Analysis by Combining Transformers and Program Dependence Graphs
Yanfu Yan, Nathan Cooper, Kevin Moran +3
Impact analysis (IA) is a critical software maintenance task that identifies the effects of a given set of code changes on a larger software project with the intention of avoiding…