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Lin Shi
Lin Shi
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Machine learning techniques for code smell detection: A systematic literature review and meta-analysis
MI Azeem, F Palomba, L Shi, Q Wang
Information and Software Technology 108, 115-138, 2019
2702019
An empirical study on evolution of API documentation
L Shi, H Zhong, T Xie, M Li
Fundamental Approaches to Software Engineering: 14th International …, 2011
932011
Why is it important to measure maintainability and what are the best ways to do it?
C Chen, R Alfayez, K Srisopha, B Boehm, L Shi
2017 IEEE/ACM 39th International Conference on Software Engineering …, 2017
482017
Maintenance effort estimation for open source software: A systematic literature review
H Wu, L Shi, C Chen, Q Wang, B Boehm
2016 IEEE international conference on software maintenance and evolution …, 2016
462016
Are we building on the rock? on the importance of data preprocessing for code summarization
L Shi, F Mu, X Chen, S Wang, J Wang, Y Yang, G Li, X Xia, Q Wang
Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022
382022
Detection of hidden feature requests from massive chat messages via deep siamese network
L Shi, M Xing, M Li, Y Wang, S Li, Q Wang
Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020
372020
A first look at developers’ live chat on gitter
L Shi, X Chen, Y Yang, H Jiang, Z Jiang, N Niu, Q Wang
Proceedings of the 29th ACM Joint Meeting on European Software Engineering …, 2021
352021
Where is your app frustrating users?
Y Wang, J Wang, H Zhang, X Ming, L Shi, Q Wang
Proceedings of the 44th International Conference on Software Engineering …, 2022
312022
Understanding feature requests by leveraging fuzzy method and linguistic analysis
L Shi, C Chen, Q Wang, S Li, B Boehm
2017 32nd IEEE/ACM International Conference on Automated Software …, 2017
312017
Learning from evolution history to predict future requirement changes
L Shi, Q Wang, M Li
2013 21st IEEE International Requirements Engineering Conference (RE), 135-144, 2013
292013
How do defects hurt qualities? an empirical study on characterizing a software maintainability ontology in open source software
C Chen, S Lin, M Shoga, Q Wang, B Boehm
2018 IEEE International Conference on Software Quality, Reliability and …, 2018
252018
Evaluating human-assessed software maintainability metrics
C Chen, R Alfayez, K Srisopha, L Shi, B Boehm
Software Engineering and Methodology for Emerging Domains: 15th National …, 2016
212016
A deep context-wise method for coreference detection in natural language requirements
Y Wang, L Shi, M Li, Q Wang, Y Yang
2020 IEEE 28th International Requirements Engineering Conference (RE), 180-191, 2020
162020
The key roles of maintainability in an ontology for system qualities
B Boehm, C Chen, K Srisopha, L Shi
INCOSE International Symposium 26 (1), 2026-2040, 2016
162016
Developer-intent driven code comment generation
F Mu, X Chen, L Shi, S Wang, Q Wang
2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023
152023
A deep multitask learning approach for requirements discovery and annotation from open forum
M Li, L Shi, Y Yang, Q Wang
Proceedings of the 35th IEEE/ACM International Conference on Automated …, 2020
142020
Environment-driven abstraction identification for requirements-based testing
Z Peng, P Rathod, N Niu, T Bhowmik, H Liu, L Shi, Z Jin
2021 IEEE 29th International Requirements Engineering Conference (RE), 245-256, 2021
132021
ISPY: Automatic issue-solution pair extraction from community live chats
L Shi, Z Jiang, Y Yang, X Chen, Y Zhang, F Mu, H Jiang, Q Wang
2021 36th IEEE/ACM International Conference on Automated Software …, 2021
122021
NERO: A text-based tool for content annotation and detection of smells in feature requests
F Mu, L Shi, W Zhou, Y Zhang, H Zhao
2020 IEEE 28th International Requirements Engineering Conference (RE), 400-403, 2020
112020
Automatic comment generation via multi-pass deliberation
F Mu, X Chen, L Shi, S Wang, Q Wang
Proceedings of the 37th IEEE/ACM International Conference on Automated …, 2022
102022
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