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fan qiang
fan qiang
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Year
Where is the road for issue reports classification based on text mining?
Q Fan, Y Yu, G Yin, T Wang, H Wang
2017 ACM/IEEE International Symposium on Empirical Software Engineering and …, 2017
552017
RepoLike: amulti-feature-based personalized recommendation approach for open-source repositories
C Yang, Q Fan, T Wang, G Yin, X Zhang, Y Yu, H Wang
Frontiers of Information Technology & Electronic Engineering 20 (2), 222-237, 2019
352019
RevRec: A two-layer reviewer recommendation algorithm in pull-based development model
C Yang, X Zhang, L Zeng, Q Fan, T Wang, Y Yu, G Yin, H Wang
Journal of Central South University 25 (5), 1129-1143, 2018
342018
OSSEAN: mining crowd wisdom in open source communities
G Yin, T Wang, H Wang, Q Fan, Y Zhang, Y Yu, C Yang
2015 IEEE Symposium on Service-Oriented System Engineering, 367-371, 2015
232015
A neural-network based code summarization approach by using source code and its call dependencies
B Liu, T Wang, X Zhang, Q Fan, G Yin, J Deng
Proceedings of the 11th Asia-Pacific Symposium on Internetware, 1-10, 2019
212019
Automatic Classification of Review Comments in Pull-based Development Model.
Z Li, Y Yu, G Yin, T Wang, Q Fan, H Wang
SEKE, 572-577, 2017
162017
An empirical study of reviewer recommendation in pull-based development model
C Yang, X Zhang, L Zeng, Q Fan, G Yin, H Wang
Proceedings of the 9th Asia-Pacific Symposium on Internetware, 1-6, 2017
112017
Repolike: personal repositories recommendation in social coding communities
C Yang, Q Fan, T Wang, G Yin, H Wang
Proceedings of the 8th Asia-Pacific symposium on internetware, 54-62, 2016
112016
Ranking open source software based on crowd wisdom
Q Fan, H Wang, G Yin, T Wang
2015 6th IEEE International Conference on Software Engineering and Service …, 2015
82015
Why do they ask? An exploratory study of crowd discussions about Android application programming interface in stack overflow
Q Fan, T Wang, C Yang, G Yin, Y Yu, H Wang
Journal of Central South University 26 (9), 2432-2446, 2019
42019
Why API documentation is insufficient for developers: an empirical study
Q Fan, Y Yu, T Wang, G Yin, H Wang
Science China. Information Sciences 64 (1), 119102, 2021
12021
Transferring well-trained models for cross-project issue classification: a large-scale empirical study
Y Yu, Y Zeng, Q Fan, H Wang
Proceedings of the 10th Asia-Pacific Symposium on Internetware, 1-6, 2018
12018
Cross-Project Issue Classification Based on Ensemble Modeling in a Social Coding World
Y Zeng, Y Yu, Q Fan, X Zhang, T Wang, G Yin, H Wang
Neural Information Processing: 25th International Conference, ICONIP 2018 …, 2018
2018
Social Computing in Open Source Community: A Study of Software Reuse
M Chen, T Wang, C Yang, Q Fan, G Yin, H Wang
Social Computing: Second International Conference of Young Computer …, 2016
2016
Yu Y Wang T, et al
Q Fan
Why API Documentation is Insufficient for Developers: an Empirical, 0
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