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20222025
most citedCan ChatGPT Support Developers? An Empirical Evaluation of Large Language Models for Code Generation

23 citations · 24 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2025

Applications and Challenges of Fairness APIs in Machine Learning Software

Ajoy Das, Gias Uddin, Shaiful Chowdhury +2

Machine Learning software systems are frequently used in our day-to-day lives. Some of these systems are used in various sensitive environments to make life-changing decisions. The…

cs.SE2024

A Systematic Mapping Study of Crowd Knowledge Enhanced Software Engineering Research Using Stack Overflow

Minaoar Tanzil, Shaiful Chowdhury, Somayeh Modaberi +2

Developers continuously interact in crowd-sourced community-based question-answer (Q&A) sites. Reportedly, 30% of all software professionals visit the most popular Q&A site StackOv…

cs.SE2024★ 23 cited

Can ChatGPT Support Developers? An Empirical Evaluation of Large Language Models for Code Generation

Kailun Jin, Chung-Yu Wang, Hung Viet Pham +1

Large language models (LLMs) have demonstrated notable proficiency in code generation, with numerous prior studies showing their promising capabilities in various development scena…

cs.SE2023

Method-Level Bug Severity Prediction using Source Code Metrics and LLMs

Ehsan Mashhadi, Hossein Ahmadvand, Hadi Hemmati

In the past couple of decades, significant research efforts are devoted to the prediction of software bugs. However, most existing work in this domain treats all bugs the same, whi…

cs.SE2022★ 1 cited

Improving Automated Program Repair with Domain Adaptation

Armin Zirak, Hadi Hemmati

Automated Program Repair (APR) is defined as the process of fixing a bug/defect in the source code, by an automated tool. APR tools have recently experienced promising results by l…