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From the 1 of 9 linked papers with an AI index.

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9 papers

cs.SE2026

Pattern over Pixels: Measuring Pattern Completion Bias in Multimodal Code Generation

Khai-Nguyen Nguyen, Oscar Chaparro, Antonio Mastropaolo

Multimodal large language models (MLLMs) are increasingly used to translate webpage screenshots into front-end code, but repeated UI patterns may sway them toward visually incorrec…

cs.SE2026

Rethinking Issue Resolution for AI/ML Systems

Ahmed Adnan, Mushfiqur Rahman, Antu Saha +1

The paper examines how issue resolution in AI/ML systems differs from traditional software maintenance and proposes tailored frameworks to address challenges like stochastic behavi…

cs.SE2026

On the Reliability of Code Comprehension Proxies

Erfan Arvan, Nadeeshan De Silva, Oscar Chaparro +1

Prior work on code comprehension uses different comprehension proxies-for example, Likert-scale ratings or answers to input-output questions about program snippets, usually collect…

cs.SE2026

Verifier Warnings Do Not Improve Comprehensibility Prediction

Nadeeshan De Silva, Martin Kellogg, Oscar Chaparro

Proponents of software verification suggest that code simplicity is linked to the effort to verify code, hypothesizing that formal verifiers produce fewer false positive warnings a…

cs.SE2026

Recovering Fine-Grained Code Change Rationale from Multiple Software Artifacts

Mehedi Sun, Antu Saha, Nadeeshan De Silva +2

Understanding the reasons behind past code changes is critical for refactoring, code review, and debugging. However, code change rationale is often fragmented, inconsistently docum…

cs.SE2026

Evaluating Language Model Applications for Identifying Solution-Related Content in Issue Report Discussions

Antu Saha, Mehedi Sun, Oscar Chaparro

During issue resolution, software developers rely on issue reports to discuss solutions for defects, feature requests, and other changes. These discussions contain proposed solutio…