Emad Shihab
Title
Cited by
Cited by
Year
What do mobile app users complain about?
H Khalid, E Shihab, M Nagappan, AE Hassan
IEEE software 32 (3), 70-77, 2014
4182014
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
3912012
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
1882016
An exploratory study on self-admitted technical debt
A Potdar, E Shihab
2014 IEEE International Conference on Software Maintenance and Evolution, 91-100, 2014
1732014
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
1332013
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
1292010
Future trends in software engineering research for mobile apps
M Nagappan, E Shihab
2016 IEEE 23rd International Conference on Software Analysis, Evolution, and …, 2016
1222016
High-impact defects: a study of breakage and surprise defects
E Shihab, A Mockus, Y Kamei, B Adams, AE Hassan
Proceedings of the 19th ACM SIGSOFT symposium and the 13th European …, 2011
1182011
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
1162014
Understanding the impact of code and process metrics on post-release defects: A case study on the Eclipse project
E Shihab, ZM Jiang, WM Ibrahim, B Adams, AE Hassan
Proceedings of the 2010 ACM-IEEE International Symposium on Empirical …, 2010
1162010
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
1132012
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
1082017
Prioritizing the devices to test your app on: A case study of android game apps
H Khalid, M Nagappan, E Shihab, AE Hassan
Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations …, 2014
1002014
Defect prediction: Accomplishments and future challenges
Y Kamei, E Shihab
2016 IEEE 23rd international conference on software analysis, evolution, and …, 2016
892016
The effect of branching strategies on software quality
E Shihab, C Bird, T Zimmermann
Proceedings of the ACM-IEEE international symposium on Empirical software …, 2012
852012
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
832017
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
802018
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
802015
Elblocker: Predicting blocking bugs with ensemble imbalance learning
X Xia, D Lo, E Shihab, X Wang, X Yang
Information and Software Technology 61, 93-106, 2015
792015
A distributed asynchronous directional-to-directional MAC protocol for wireless ad hoc networks
E Shihab, L Cai, J Pan
IEEE Transactions on Vehicular Technology 58 (9), 5124-5134, 2009
782009
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