7 citations · 7 across the 8 of their papers we have counts for
3 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,…