Spremljaj
Emad Shihab
Naslov
Navedeno
Navedeno
Leto
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
8112012
What do mobile app users complain about?
H Khalid, E Shihab, M Nagappan, AE Hassan
IEEE software 32 (3), 70-77, 2014
6252014
What are mobile developers asking about? a large scale study using stack overflow
C Rosen, E Shihab
Empirical Software Engineering 21, 1192-1223, 2016
3932016
An exploratory study on self-admitted technical debt
A Potdar, E Shihab
2014 IEEE International Conference on Software Maintenance and Evolution, 91-100, 2014
3712014
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
2492017
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, 418-451, 2018
2122018
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
1942017
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
1902020
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
1872012
Defect prediction: Accomplishments and future challenges
Y Kamei, E Shihab
2016 IEEE 23rd international conference on software analysis, evolution, and …, 2016
1842016
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
1812014
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
1782015
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
1742013
Future trends in software engineering research for mobile apps
M Nagappan, E Shihab
2016 IEEE 23rd international conference on software analysis, evolution, and …, 2016
1712016
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
1692015
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
1612016
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
1502019
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
1492011
Empirical analysis of security vulnerabilities in python packages
M Alfadel, DE Costa, E Shihab
Empirical Software Engineering 28 (3), 59, 2023
1482023
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
1452010
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