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Heng Li
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Logram: Efficient Log Parsing Using n-Gram Dictionaries
H Dai, H Li, CS Chen, WI Shang, THP Chen
IEEE Transactions on Software Engineering, 2020
1332020
Which log level should developers choose for a new logging statement?
H Li, W Shang, AE Hassan
Empirical Software Engineering 22, 1684-1716, 2017
1132017
Towards just-in-time suggestions for log changes
H Li, W Shang, Y Zou, A E. Hassan
Empirical Software Engineering 22, 1831-1865, 2017
962017
Studying software logging using topic models
H Li, TH Chen, W Shang, AE Hassan
Empirical Software Engineering 23, 2655-2694, 2018
902018
A Qualitative Study of the Benefits and Costs of Logging from Developers' Perspectives
H Li, W Shang, B Adams, M Sayagh, AE Hassan
IEEE Transactions on Software Engineering, 2020
682020
Predicting Node Failures in an Ultra-large-scale Cloud Computing Platform: an AIOps Solution
Y Li, ZM Jiang, H Li, AE Hassan, C He, R Huang, Z Zeng, M Wang, ...
ACM Transactions on Software Engineering and Methodology, 2020
662020
An Empirical Study of the Impact of Hyperparameter Tuning and Model Optimization on the Performance Properties of Deep Neural Networks
L Liao, H Li, W Shang, L Ma
ACM Transactions on Software Engineering and Methodology, 2021
502021
A study of c/c++ code weaknesses on stack overflow
H Zhang, S Wang, H Li, TH Chen, AE Hassan
IEEE Transactions on Software Engineering 48 (7), 2359-2375, 2021
332021
DeepLV: Suggesting Log Levels Using Ordinal Based Neural Networks
Z Li, H Li, THP Chen, W Shang
Proceedings of the 43rd International Conference on Software Engineering, 2021
292021
A Study of the Performance of General Compressors on Log Files
K Yao, H Li, W Shang, AE Hassan
Empirical Software Engineering, 2020
262020
An Empirical Study of the Impact of Data Splitting Decisions on the Performance of AIOps Solutions
Y Lyu, H Li, M Sayagh, ZM Jiang, AE Hassan
ACM Transactions on Software Engineering and Methodology, 2021
252021
Improving the Testing Efficiency of Selenium-based Load Tests
SM Shariff, H Li, CP Bezemer, AE Hassan, THD Nguyen, P Flora
Proceedings of the 14th IEEE/ACM International Workshop on Automation of …, 2019
252019
Studying the practices of deploying machine learning projects on docker
M Openja, F Majidi, F Khomh, B Chembakottu, H Li
Proceedings of the 26th international conference on evaluation and …, 2022
212022
Can Pre-trained Code Embeddings Improve Model Performance? Revisiting the Use of Code Embeddings in Software Engineering Tasks
Z Ding, H Li, W Shang, THP Chen
Empirical Software Engineering, 2022
212022
LoGenText: Automatically Generating Logging Texts Using Neural Machine Translation
Z Ding, H Li, W Shang
Proceedings of the 9th IEEE International Conference on Software Analysis …, 2022
202022
Using black-box performance models to detect performance regressions under varying workloads: an empirical study
L Liao, J Chen, H Li, Y Zeng, W Shang, J Guo, C Sporea, A Toma, ...
Empirical Software Engineering 25, 4130-4160, 2020
202020
LogAssist: Assisting log analysis through log summarization
S Locke, H Li, THP Chen, W Shang, W Liu
IEEE Transactions on Software Engineering 48 (9), 3227-3241, 2021
192021
Understanding Quantum Software Engineering Challenges: An Empirical Study on Stack Exchange Forums and GitHub Issues
MRE Aoun, H Li, F Khomh, M Openja
Proceedings of the 37th IEEE International Conference on Software …, 2021
172021
Adopting autonomic computing capabilities in existing large-scale systems: An industrial experience report
H Li, TH Chen, AE Hassan, M Nasser, P Flora
Proceedings of the 40th International Conference on Software Engineering …, 2018
172018
An empirical study on the usage of automated machine learning tools
F Majidi, M Openja, F Khomh, H Li
2022 IEEE International Conference on Software Maintenance and Evolution …, 2022
112022
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