3 papers
cs.SE2026
LinkRank: A Learning-to-Rank Framework for One-to-Many Issue-Commit Traceability
Abhishek Kumar, Tuhin Mondal, Partha Pratim Das +1
Recovering traceability links between issues and commits is important for software maintenance, debugging, impact analysis, and project understanding. However, most existing approa…
cs.SE2025
Leveraging Design-Aware Context in Large Language Models for Code Comment Generation
Aritra Mitra, Srijoni Majumdar, Anamitra Mukhopadhyay +3
Comments are very useful to the flow of code development. With the increasing commonality of code, novice coders have been creating a significant amount of codebases. Due to lack o…
cs.SE2024
LLMs as Evaluators: A Novel Approach to Evaluate Bug Report Summarization
Abhishek Kumar, Sonia Haiduc, Partha Pratim Das +1
Summarizing software artifacts is an important task that has been thoroughly researched. For evaluating software summarization approaches, human judgment is still the most trusted…