| 2025 | EASE | Understanding the Impact of Domain Term Explanation on Duplicate Bug Report Detection. | Usmi Mukherjee, Mohammad Masudur Rahman |
| 2025 | ICDM | Surgeons Are Indian Males and Speech Therapists Are White Females: Auditing Biases in Vision-Language Models for Healthcare Professionals. | Zohaib Hasan Siddiqui, Dayam Nadeem, Mohammad Masudur Rahman, Mohammad Nadeem, Shahab Saquib Sohail, Beenish Moalla Chaudhry |
| 2025 | ICSE | Improved Detection and Diagnosis of Faults in Deep Neural Networks Using Hierarchical and Explainable Classification. | Sigma Jahan, Mehil B. Shah, Parvez Mahbub, Mohammad Masudur Rahman |
| 2024 | SCAM | On the Prevalence, Evolution, and Impact of Code Smells in Simulation Modelling Software. | Riasat Mahbub, Mohammad Masudur Rahman, Muhammad Ahsanul Habib |
| 2023 | ICSE | Explaining Software Bugs Leveraging Code Structures in Neural Machine Translation. | Parvez Mahbub, Ohiduzzaman Shuvo, Mohammad Masudur Rahman |
| 2023 | MSR | Defectors: A Large, Diverse Python Dataset for Defect Prediction. | Parvez Mahbub, Ohiduzzaman Shuvo, Mohammad Masudur Rahman |
| 2023 | MSR | Do Subjectivity and Objectivity Always Agreeƒ A Case Study with Stack Overflow Questions. | Saikat Mondal, Mohammad Masudur Rahman, Chanchal K. Roy |
| 2020 | MSR | The Scent of Deep Learning Code: An Empirical Study. | Hadhemi Jebnoun, Houssem Ben Braiek, Mohammad Masudur Rahman, Foutse Khomh |
| 2020 | MSR | On the Prevalence, Impact, and Evolution of SQL Code Smells in Data-Intensive Systems. | Biruk Asmare Muse, Mohammad Masudur Rahman, Csaba Nagy, Anthony Cleve, Foutse Khomh, Giuliano Antoniol |
| 2019 | ICSE | Supporting code search with context-aware, analytics-driven, effective query reformulation. | Mohammad Masudur Rahman |
| 2019 | MSR | Can issues reported at stack overflow questions be reproduced?: an exploratory study. | Saikat Mondal, Mohammad Masudur Rahman, Chanchal K. Roy |
| 2018 | ICSE | Improving bug localization with report quality dynamics and query reformulation. | Mohammad Masudur Rahman, Chanchal K. Roy |
| 2017 | ICSE | RACK: code search in the IDE using crowdsourced knowledge. | Mohammad Masudur Rahman, Chanchal Kumar Roy, David Lo |
| 2017 | MSR | Impact of continuous integration on code reviews. | Mohammad Masudur Rahman, Chanchal K. Roy |
| 2017 | MSR | Predicting usefulness of code review comments using textual features and developer experience. | Mohammad Masudur Rahman, Chanchal K. Roy, Raula Gaikovina Kula |
| 2016 | ICSE | CoRReCT: code reviewer recommendation in GitHub based on cross-project and technology experience. | Mohammad Masudur Rahman, Chanchal K. Roy, Jason A. Collins |
| 2016 | SEKE | Embedded Emotion-based Classification of Stack Overflow Questions Towards the Question Quality Prediction. | Amit Kumar Mondal, Mohammad Masudur Rahman, Chanchal K. Roy |
| 2015 | MSR | An Insight into the Unresolved Questions at Stack Overflow. | Mohammad Masudur Rahman, Chanchal K. Roy |
| 2015 | SCAM | Recommending insightful comments for source code using crowdsourced knowledge. | Mohammad Masudur Rahman, Chanchal K. Roy, Iman Keivanloo |
| 2014 | MSR | An insight into the pull requests of GitHub. | Mohammad Masudur Rahman, Chanchal K. Roy |
| 2014 | SCAM | On the Use of Context in Recommending Exception Handling Code Examples. | Mohammad Masudur Rahman, Chanchal K. Roy |