152 citations · 687 across the 35 of their papers we have counts for
4 papers · 1 filter
Bugsplainer: Leveraging Code Structures to Explain Software Bugs with Neural Machine Translation
Parvez Mahbub, Mohammad Masudur Rahman, Ohiduzzaman Shuvo +1
Software bugs cost the global economy billions of dollars each year and take up ~50% of the development time. Once a bug is reported, the assigned developer attempts to identify an…
Do Subjectivity and Objectivity Always Agree? A Case Study with Stack Overflow Questions
Saikat Mondal, Mohammad Masudur Rahman, Chanchal K. Roy
In Stack Overflow (SO), the quality of posts (i.e., questions and answers) is subjectively evaluated by users through a voting mechanism. The net votes (upvotes - downvotes) obtain…
BugMentor: Generating Answers to Follow-up Questions from Software Bug Reports using Structured Information Retrieval and Neural Text Generation
Usmi Mukherjee, Mohammad Masudur Rahman
Software bug reports often lack crucial information (e.g., steps to reproduce), which makes bug resolution challenging. Developers thus ask follow-up questions to capture additiona…
Defectors: A Large, Diverse Python Dataset for Defect Prediction
Parvez Mahbub, Ohiduzzaman Shuvo, Mohammad Masudur Rahman
Defect prediction has been a popular research topic where machine learning (ML) and deep learning (DL) have found numerous applications. However, these ML/DL-based defect predictio…