Registered user since Mon 24 Jul 2017
Dr. Masud Rahman is a tenure-track Assistant Professor in the Faculty of Computer Science at Dalhousie University, Canada. He received his Ph.D. in Computer Science/Software Engineering from the University of Saskatchewan, Canada.
Masud leads the RAISE Lab at Dalhousie University. He is interested in the intelligent automation of software maintenance and evolution. He focuses on (a) a better understanding of software maintenance challenges with a particular focus on software debugging, code search, and code reviews, and (b) designing intelligent, automated, and cost-effective solutions to overcome these challenges and thus to make the developers’ lives easier. He uses a blend of Software Engineering, Machine/Deep Learning, Information Retrieval, Mining Software Repositories, Natural Language Processing, and Generative AI in his work. His research interests have been significantly shaped by his three years of experience as a professional developer in the software industry. He has been actively collaborating with several industry partners (e.g., Metabob Inc.) and previously collaborated with Mozilla Firefox and Vendasta Technologies.
Masud’s work was accepted in several major venues of Software Engineering including ICSE, ESEC/FSE, ASE, EMSE, TOSEM, ICSME, MSR, and SANER. Dr. Rahman received multiple prestigious awards such as Governor General’s Gold Medal 2019, U of S Doctoral Thesis Award 2019, CS Best PhD Thesis Award 2019, and TCSE Distinguished Paper Award for his research excellence and outstanding academics. To date, Masud has been awarded $500K+ in competitive research funding and his grants include NSERC Discovery Grant, Mitacs Accelerate International, NSERC Postdoctoral Fellowship, Dalhousie BELONG Program, and Climate Action and Awareness Fund. He has also been serving the top journals and conferences of Software Engineering in various capacities.
Contributions
2024
ESEC/FSE
International Conference on Program Comprehension
Mining Software Repositories
SANER
- Session Chair of Defect Prediction and Analysis II (part of Research Papers)
- Author of Predicting Line-Level Defects by Capturing Code Contexts with Hierarchical Transformers within the Research Papers-track
- Author of Can We Identify Stack Overflow Questions Requiring Code Snippets? Investigating the Cause & Effect of Missing Code Snippets within the Research Papers-track
- Committee Member in Program Committee within the Research Papers-track
2023
Mining Software Repositories
- Author of Do Subjectivity and Objectivity Always Agree? A Case Study with Stack Overflow Questions within the Technical Papers-track
- Committee Member in Program Committee within the Technical Papers-track
- Author of Defectors: A Large, Diverse Python Dataset for Defect Prediction within the Data and Tool Showcase Track-track
ESEC/FSE
ICSME
- Committee Member in New Ideas and Emerging Results Track - Program Committee within the New Ideas and Emerging Results Track-track
- Session Chair of Software Faults (part of Research Track)
- Author of Recommending Code Reviews Leveraging Code Changes with Structured Information Retrieval within the Research Track-track
- Session Chair of Machine Learning Applications (part of Research Track)
- Author of Bugsplainer: Leveraging Code Structures to Explain Software Bugs with Neural Machine Translation within the Tool Demo Track-track
2022
Mining Software Repositories
- Session Chair of Session 5: Communication & Domains (part of Technical Papers)
- Committee Member in Program Committee within the Technical Papers-track
- Committee Member in Data Showcase Committee within the Data and Tool Showcase Track-track
- Publicity & Social Media Co-Chair in Organizing Committee
- Committee Member in Shadow PC Advisors within the Shadow PC-track
- Session Chair of Session 1 (part of Technical Papers)