متابعة
Emad Shihab
Emad Shihab
Professor at Concordia University
بريد إلكتروني تم التحقق منه على concordia.ca - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
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
8232012
What do mobile app users complain about?‏
H Khalid, E Shihab, M Nagappan, AE Hassan‏
IEEE software 32 (3), 70-77, 2014‏
6212014
What are mobile developers asking about? a large scale study using stack overflow‏
C Rosen, E Shihab‏
Empirical Software Engineering 21, 1192-1223, 2016‏
3862016
An exploratory study on self-admitted technical debt‏
A Potdar, E Shihab‏
2014 IEEE International Conference on Software Maintenance and Evolution, 91-100, 2014‏
3672014
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
2472017
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
1972017
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
1892012
Defect prediction: Accomplishments and future challenges‏
Y Kamei, E Shihab‏
2016 IEEE 23rd international conference on software analysis, evolution, and …, 2016‏
1852016
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
1852014
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
1802020
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
1792015
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
1722013
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
1712015
Future trends in software engineering research for mobile apps‏
M Nagappan, E Shihab‏
2016 IEEE 23rd international conference on software analysis, evolution, and …, 2016‏
1702016
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
1602016
Empirical analysis of security vulnerabilities in python packages‏
M Alfadel, DE Costa, E Shihab‏
Empirical Software Engineering 28 (3), 59, 2023‏
1532023
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
1502011
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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مقالات 1–20