Yida Tao
Yida Tao
Verified email at szu.edu.cn
Title
Cited by
Cited by
Year
How Do Software Engineers Understand Code Changes?-An Exploratory Study in Industry
Y Tao, Y Dang, T Xie, D Zhang, S Kim
1732012
Where should we fix this bug? a two-phase recommendation model
D Kim, Y Tao, S Kim, A Zeller
IEEE transactions on software Engineering 39 (11), 1597-1610, 2013
1672013
Automatically generated patches as debugging aids: a human study
Y Tao, J Kim, S Kim, C Xu
Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations …, 2014
582014
Partitioning Composite Code Changes to Facilitate Code Review
Y Tao, S Kim
The 12th Working Conference on Mining Software Repositories, 2015
542015
Writing acceptable patches: An empirical study of open source project patches
Y Tao, D Han, S Kim
2014 IEEE International Conference on Software Maintenance and Evolution …, 2014
532014
How Do Python Framework APIs Evolve? An Exploratory Study
Z Zhang, H Zhu, M Wen, Y Tao, Y Liu, Y Xiong
2020 IEEE 27th International Conference on Software Analysis, Evolution and …, 2020
62020
How Do API Selections Affect the Runtime Performance of Data Analytics Tasks?
Y Tao, S Tang, Y Liu, Z Xu, S Qin
2019 34th IEEE/ACM International Conference on Automated Software …, 2019
32019
Analyzing Cryptographic API Usages for Android Applications Using HMM and N-Gram
Z Xu, X Hu, Y Tao, S Qin
2020 International Symposium on Theoretical Aspects of Software Engineering …, 2020
2020
An Exploratory Study of Bugs in Extended Reality Applications on the Web
S Li, Y Wu, Y Liu, D Wang, M Wen, Y Tao, Y Sui, Y Liu
2020 IEEE 31st International Symposium on Software Reliability Engineering …, 2020
2020
Understanding Performance Concerns in the API Documentation of Data Science Libraries
Y Tao, J Jiang, Y Liu, Z Xu, S Qin
2020 35th IEEE/ACM International Conference on Automated Software …, 2020
2020
Improving the quality of software code changes: expert knowledge recovery and tool support
Y Tao
2015
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Articles 1–11