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Peter C. Rigby

2 papers indexed

arxivcs.SEcs.AI2026-07-31

From Code Review to Code Critique: Intent, Drift, and Spotlight for AI-Generated Diffs at Scale

Chandra Maddila, Mashrur Rashik, Euna Mehnaz Khan, Smriti Jha, James Saindon, Nachi Nagappan, et al.

AI coding agents are generating code at volumes that exceed the capacity of traditional peer review. At the same time, existing AI code review tools over-index on low-value suggestions such as style and best practices while under-indexing on the concerns human reviewers prioritiz…

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arxivcs.SEcs.AI2026-07-02

A Preliminary Study on Explaining Risk of Code Changes using LLM-Based Prediction Models

Yalin Liu, Kosay Jabre, Rui Abreu, Zachariah J. Carmichael, Vijayaraghavan Murali, Akshay Patel, et al.

Predictions by machine learning (ML) and artificial intelligence (AI) models are often received skeptically unless they are paired with intelligible explanations. In the context of just-in-time defect prediction, highlighting small portions of a software change (diff) -- beyond r…

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