| Rack: Automatic api recommendation using crowdsourced knowledge MM Rahman, CK Roy, D Lo 2016 IEEE 23rd International Conference on Software Analysis, Evolution, and …, 2016 | 200 | 2016 |
| An insight into the pull requests of GitHub MM Rahman, CK Roy Proceedings of the 11th Working Conference on Mining Software Repositories …, 2014 | 155 | 2014 |
| Correct: code reviewer recommendation in github based on cross-project and technology experience MM Rahman, CK Roy, JA Collins Proceedings of the 38th International Conference on Software Engineering …, 2016 | 143 | 2016 |
| Improving IR-based bug localization with context-aware query reformulation MM Rahman, CK Roy Proceedings of the 2018 26th ACM Joint Meeting on European Software …, 2018 | 138 | 2018 |
| Predicting usefulness of code review comments using textual features and developer experience MM Rahman, CK Roy, RG Kula 2017 IEEE/ACM 14th International Conference on Mining Software Repositories …, 2017 | 118 | 2017 |
| Towards a context-aware IDE-based meta search engine for recommendation about programming errors and exceptions MM Rahman, S Yeasmin, CK Roy 2014 Software Evolution Week-IEEE Conference on Software Maintenance …, 2014 | 100 | 2014 |
| Recommending insightful comments for source code using crowdsourced knowledge MM Rahman, CK Roy, I Keivanloo 2015 IEEE 15th International Working Conference on Source Code Analysis and …, 2015 | 93 | 2015 |
| Effective reformulation of query for code search using crowdsourced knowledge and extra-large data analytics MM Rahman, C Roy 2018 IEEE International Conference on Software Maintenance and Evolution …, 2018 | 79 | 2018 |
| On the prevalence, impact, and evolution of SQL code smells in data-intensive systems BA Muse, MM Rahman, C Nagy, A Cleve, F Khomh, G Antoniol Proceedings of the 17th International Conference on Mining Software …, 2020 | 66 | 2020 |
| On the use of context in recommending exception handling code examples MM Rahman, CK Roy Source Code Analysis and Manipulation (SCAM), 2014 IEEE 14th International …, 2014 | 58 | 2014 |
| Answering Follow-up Questions on Bug Reports with Structured Information Retrieval and Deep Learning U Mukherjee, MM Rahman arXiv preprint arXiv:2304.12494, 2023 | 56* | 2023 |
| The Scent of Deep Learning Code: An Empirical Study H Jebnoun, H Ben Braiek, MM Rahman, F Khomh Proceedings of the 17th International Conference on Mining Software …, 2020 | 52 | 2020 |
| Recommending comprehensive solutions for programming tasks by mining crowd knowledge RFG Silva, CK Roy, MM Rahman, KA Schneider, K Paixao, ... 2019 IEEE/ACM 27th International Conference on Program Comprehension (ICPC …, 2019 | 52 | 2019 |
| Automatic query reformulation for code search using crowdsourced knowledge MM Rahman, CK Roy, D Lo Empirical Software Engineering 24 (4), 1869-1924, 2019 | 51 | 2019 |
| Strict: information retrieval based search term identification for concept location MM Rahman, CK Roy 2017 IEEE 24th International Conference on Software Analysis, Evolution and …, 2017 | 45 | 2017 |
| An insight into the unresolved questions at stack overflow MM Rahman, CK Roy 2015 IEEE/ACM 12th Working Conference on Mining Software Repositories, 426-429, 2015 | 41 | 2015 |
| Early detection and guidelines to improve unanswered questions on stack overflow S Mondal, CMK Saifullah, A Bhattacharjee, MM Rahman, CK Roy Proceedings of the 14th Innovations in Software Engineering Conference …, 2021 | 40 | 2021 |
| Impact of continuous integration on code reviews MM Rahman, CK Roy 2017 IEEE/ACM 14th International Conference on Mining Software Repositories …, 2017 | 37 | 2017 |
| Explaining software bugs leveraging code structures in neural machine translation P Mahbub, O Shuvo, MM Rahman 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023 | 36 | 2023 |
| Improved query reformulation for concept location using coderank and document structures MM Rahman, CK Roy 2017 32nd IEEE/ACM International Conference on Automated Software …, 2017 | 34 | 2017 |
Chanchal RoyProfessor, University of SaskatchewanVerified email at cs.usask.ca
