7 citations · 7 across the 8 of their papers we have counts for
9 papers · 1 filter
Rethinking Issue Resolution for AI/ML Systems
Ahmed Adnan, Mushfiqur Rahman, Antu Saha +1
We advocate for AI/ML issue resolution frameworks tailored to maintenance workflows and the nature of modern AI/ML systems. Existing issue resolution frameworks largely emerged for…
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…
Automatically Enhancing the Quality of Android App Bug Reports
Antu Saha, Atish Kumar Dipongkor, Sam Bennett +3
Most defects in mobile applications are visually observable on the device screen. Since automated mechanisms for detecting and reporting such defects are often unavailable, users,…
Studying and Automating Issue Resolution for Software Quality
Antu Saha
Effective issue resolution is crucial for maintaining software quality. Yet developers frequently encounter challenges such as low-quality issue reports, limited understanding of r…
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…
Decoding the Issue Resolution Process in Practice via Issue Report Analysis: A Case Study of Firefox
Antu Saha, Oscar Chaparro
Effectively managing and resolving software issues is critical for maintaining and evolving software systems. Development teams often rely on issue trackers and issue reports to tr…