Causal study of 151 Java repos shows agentic AI adoption raises LOC 12.8% with unchanged total smells, producing 6.7% lower ASD as a size-driven denominator effect.
Journal of Econometrics225(2), 175–199 (2021)
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A weighted K-means plus decision-tree pipeline learns multi-action policies from observational data and is applied to HCV treatment choices for HIV co-infected patients, finding a high-clearance subgroup and potential cost savings of CAN$3.6-4.9 million.
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Mining Architectural Quality Under Agentic AI Adoption: A Causal Study of Java Repositories
Causal study of 151 Java repos shows agentic AI adoption raises LOC 12.8% with unchanged total smells, producing 6.7% lower ASD as a size-driven denominator effect.
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Policy Learning with Observational Data: The Case of Hepatitis C Treatment for HIV/HCV Co-Infected Patients
A weighted K-means plus decision-tree pipeline learns multi-action policies from observational data and is applied to HCV treatment choices for HIV co-infected patients, finding a high-clearance subgroup and potential cost savings of CAN$3.6-4.9 million.