| A large-scale empirical study of just-in-time quality assurance Y Kamei, E Shihab, B Adams, AE Hassan, A Mockus, A Sinha, ... IEEE Transactions on Software Engineering 39 (6), 757-773, 2012 | 896 | 2012 |
| What do mobile app users complain about? H Khalid, E Shihab, M Nagappan, AE Hassan IEEE software 32 (3), 70-77, 2014 | 669 | 2014 |
| What are mobile developers asking about? a large scale study using stack overflow C Rosen, E Shihab Empirical Software Engineering 21 (3), 1192-1223, 2016 | 420 | 2016 |
| An exploratory study on self-admitted technical debt A Potdar, E Shihab 2014 IEEE International Conference on Software Maintenance and Evolution, 91-100, 2014 | 418 | 2014 |
| Using natural language processing to automatically detect self-admitted technical debt E da Silva Maldonado, E Shihab, N Tsantalis IEEE Transactions on Software Engineering 43 (11), 1044-1062, 2017 | 281 | 2017 |
| Identifying self-admitted technical debt in open source projects using text mining Q Huang, E Shihab, X Xia, D Lo, S Li Empirical Software Engineering 23 (1), 418-451, 2018 | 239 | 2018 |
| Why do developers use trivial packages? an empirical case study on npm R Abdalkareem, O Nourry, S Wehaibi, S Mujahid, E Shihab Proceedings of the 2017 11th joint meeting on foundations of software …, 2017 | 230 | 2017 |
| Challenges in chatbot development: A study of stack overflow posts A Abdellatif, D Costa, K Badran, R Abdalkareem, E Shihab Proceedings of the 17th international conference on mining software …, 2020 | 222 | 2020 |
| Empirical analysis of security vulnerabilities in python packages M Alfadel, DE Costa, E Shihab Empirical Software Engineering 28 (3), 59, 2023 | 216 | 2023 |
| Detecting and quantifying different types of self-admitted technical debt ES Maldonado, E Shihab 2015 IEEE 7Th international workshop on managing technical debt (MTD), 9-15, 2015 | 196 | 2015 |
| Defect prediction: Accomplishments and future challenges Y Kamei, E Shihab 2016 IEEE 23rd international conference on software analysis, evolution, and …, 2016 | 195 | 2016 |
| An industrial study on the risk of software changes E Shihab, AE Hassan, B Adams, ZM Jiang Proceedings of the ACM SIGSOFT 20th International Symposium on the …, 2012 | 191 | 2012 |
| A quantitative comparison of overlapping and non-overlapping sliding windows for human activity recognition using inertial sensors A Dehghani, O Sarbishei, T Glatard, E Shihab Sensors 19 (22), 5026, 2019 | 188 | 2019 |
| Characterizing and predicting blocking bugs in open source projects H Valdivia Garcia, E Shihab Proceedings of the 11th working conference on mining software repositories …, 2014 | 188 | 2014 |
| Commit guru: analytics and risk prediction of software commits C Rosen, B Grawi, E Shihab Proceedings of the 2015 10th joint meeting on foundations of software …, 2015 | 187 | 2015 |
| Studying re-opened bugs in open source software E Shihab, A Ihara, Y Kamei, WM Ibrahim, M Ohira, B Adams, AE Hassan, ... Empirical Software Engineering 18 (5), 1005-1042, 2013 | 176 | 2013 |
| Future trends in software engineering research for mobile apps M Nagappan, E Shihab 2016 IEEE 23rd international conference on software analysis, evolution, and …, 2016 | 173 | 2016 |
| Examining the impact of self-admitted technical debt on software quality S Wehaibi, E Shihab, L Guerrouj 2016 IEEE 23Rd international conference on software analysis, evolution, and …, 2016 | 171 | 2016 |
| Predicting re-opened bugs: A case study on the eclipse project E Shihab, A Ihara, Y Kamei, WM Ibrahim, M Ohira, B Adams, AE Hassan, ... Reverse Engineering (WCRE), 2010 17th Working Conference on, 249-258, 2010 | 167 | 2010 |
| A comparison of natural language understanding platforms for chatbots in software engineering A Abdellatif, K Badran, DE Costa, E Shihab IEEE Transactions on Software Engineering 48 (8), 3087-3102, 2021 | 162 | 2021 |
Ahmed E. HassanMustafa Prize Laureate, ACM/IEEE/NSERC Steacie Fellow, ACM Influential/IEEE Distinguished EducatorVerified email at cs.queensu.ca
