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Xueqi Yang
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Year
Simpler hyperparameter optimization for software analytics: Why, how, when?
A Agrawal, X Yang, R Agrawal, R Yedida, X Shen, T Menzies
IEEE Transactions on Software Engineering 48 (8), 2939-2954, 2021
232021
Learning to recognize actionable static code warnings (is intrinsically easy)
X Yang, J Chen, R Yedida, Z Yu, T Menzies
Empirical Software Engineering 26 (3), 1-24, 2021
192021
Understanding static code warnings: An incremental AI approach
X Yang, Z Yu, J Wang, T Menzies
Expert Systems with Applications 167, 114134, 2021
192021
How to recognize actionable static code warnings (using linear svms)
X Yang, J Chen, R Yedida, Z Yu, T Menzies
ArXiv, 2020
72020
Documenting evidence of a reproduction of ‘is there a “golden” feature set for static warning identification?—an experimental evaluation’
X Yang, T Menzies
Proceedings of the 29th ACM Joint Meeting on European Software Engineering …, 2021
62021
When simple is better than complex: A case study on deep learning for predicting bugzilla issue close time
R Yedida, X Yang, T Menzies
arXiv preprint arXiv:2101.06319, 2021
62021
How to find actionable static analysis warnings: A case study with FindBugs
R Yedida, HJ Kang, H Tu, X Yang, D Lo, T Menzies
IEEE Transactions on Software Engineering, 2023
42023
Corporate and personal credit scoring via fuzzy non-kernel SVM with fuzzy within-class scatter
J Luo, X Yang, Y Tian, W Yu
Journal of Industrial & Management Optimization 16 (6), 2743, 2017
22017
Old but Gold: Reconsidering the value of feedforward learners for software analytics
R Yedida, X Yang, T Menzies
arXiv preprint arXiv:2101.06319, 2021
12021
SparseCoder: Advancing Source Code Analysis with Sparse Attention and Learned Token Pruning
X Yang, M Jakubowski, K Kang, H Yu, T Menzies
arXiv preprint, 2023
2023
How to Find Actionable Static Analysis Warnings
R Yedida, HJ Kang, H Tu, X Yang, D Lo, T Menzies
arXiv preprint arXiv:2205.10504, 2022
2022
Documenting evidence of a replication of ‘populating a release history database from version control and bug tracking systems’
X Yang, T Menzies
Proceedings of the 29th ACM Joint Meeting on European Software Engineering …, 2021
2021
Documenting evidence of a replication of ‘analyze this! 145 questions for data scientists in software engineering’
X Yang, T Menzies
Proceedings of the 29th ACM Joint Meeting on European Software Engineering …, 2021
2021
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