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.CL2026
Latent Performance Profiling of Large Language Models
Tanmoy Chakraborty, Ayan Sengupta, Suparna Bhattacharya +7
Large language models (LLMs) frequently achieve impressive scores on standardized benchmarks, yet accuracy alone offers a limited view of their capabilities. Evaluating open-source…
cs.SE2026
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…