Следене
Tse-Hsun (Peter) Chen
Tse-Hsun (Peter) Chen
Associate Professor in Computer Science, Concordia University, Montreal, Canada
Потвърден имейл адрес: encs.concordia.ca - Начална страница
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Позовавания
Позовавания
Година
Studying the effectiveness of application performance management (APM) tools for detecting performance regressions for web applications: an experience report
TM Ahmed, CP Bezemer, TH Chen, AE Hassan, W Shang
Proceedings of the 13th International Conference on Mining Software …, 2016
8102016
A Survey on the Use of Topic Models when Mining Software Repositories
TH Chen, SW Thomas, AE Hassan
Empirical Software Engineering, 2016
2222016
Detecting Performance Anti-patterns for Applications Developed using Object-Relational Mapping
TH Chen, W Shang, ZM Jiang, AE Hassan, M Nasser, P Flora
In Proceedings of the 36th International Conference on Software Engineering, 2014
1792014
Explaining software defects using topic models
TH Chen, SW Thomas, M Nagappan, AE Hassan
2012 9th IEEE working conference on mining software repositories (MSR), 189-198, 2012
1122012
Logram: Efficient Log Parsing Using n-Gram Dictionaries
H Dai, H Li, CS Chen, W Shang, THP Chen
IEEE Transactions on Software Engineering, 2020
1082020
An empirical study of dormant bugs
TH Chen, M Nagappan, E Shihab, AE Hassan
Proceedings of the 11th Working Conference on Mining Software Repositories …, 2014
1062014
Studying software logging using topic models
H Li, TH Chen, W Shang, AE Hassan
Empirical Software Engineering 23, 2655-2694, 2018
842018
Understanding the factors for fast answers in technical Q&A websites: An empirical study of four stack exchange websites
S Wang, TH Chen, AE Hassan
Empirical Software Engineering 23, 1552-1593, 2018
762018
An empirical study of obsolete answers on stack overflow
H Zhang, S Wang, TH Chen, Y Zou, AE Hassan
IEEE Transactions on Software Engineering 47 (4), 850-862, 2019
742019
Cacheoptimizer: Helping developers configure caching frameworks for hibernate-based database-centric web applications
TH Chen, W Shang, AE Hassan, M Nasser, P Flora
Proceedings of the 2016 24th ACM SIGSOFT International Symposium on …, 2016
742016
Finding and evaluating the performance impact of redundant data access for applications that are developed using object-relational mapping frameworks
TH Chen, W Shang, ZM Jiang, AE Hassan, M Nasser, P Flora
IEEE Transactions on Software Engineering 42 (12), 1148-1161, 2016
622016
DLFinder: Characterizing and Detecting Duplicate Logging Code Smells
Z Li, THP Chen, J Yang, W Shang
International Conference on Software Engineering, 1-11, 2019
59*2019
How do users revise answers on technical Q&A websites? A case study on Stack Overflow
S Wang, TH Chen, AE Hassan
IEEE Transactions on Software Engineering 46 (9), 1024-1038, 2018
562018
Analytics-Driven Load Testing: An Industrial Experience Report on Load Testing of Large-Scale Systems
TH Chen, MD Syer, W Shang, ZM Jiang, AE Hassan, M Nasser, P Flora
Proceedings of the 39th International Conference on Software Engineering …, 2017
532017
Studying the characteristics of logging practices in mobile apps: a case study on f-droid
Y Zeng, J Chen, W Shang, TH Chen
Empirical Software Engineering 24, 3394-3434, 2019
512019
Reading answers on stack overflow: Not enough!
H Zhang, S Wang, TH Chen, AE Hassan
IEEE Transactions on Software Engineering 47 (11), 2520-2533, 2019
472019
A3: Assisting android api migrations using code examples
M Lamothe, W Shang, THP Chen
IEEE Transactions on Software Engineering 48 (2), 417-431, 2020
46*2020
Where shall we log? studying and suggesting logging locations in code blocks
Z Li, TH Chen, W Shang
Proceedings of the 35th IEEE/ACM International Conference on Automated …, 2020
452020
A first look at the integration of machine learning models in complex autonomous driving systems: a case study on Apollo
Z Peng, J Yang, TH Chen, L Ma
Proceedings of the 28th ACM Joint Meeting on European Software Engineering …, 2020
432020
The secret life of test smells - an empirical study on test smell evolution and maintenance
DJ Kim, THP Chen, J Yang
Empirical Software Engineering 26, 2021
39*2021
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