26 citations · 50 across the 6 of their papers we have counts for
3 papers · 1 filter
Predicting Line-Level Defects by Capturing Code Contexts with Hierarchical Transformers
Parvez Mahbub, Mohammad Masudur Rahman
Software defects consume 40% of the total budget in software development and cost the global economy billions of dollars every year. Unfortunately, despite the use of many software…
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…
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…