| Logram: Efficient Log Parsing Using n-Gram Dictionaries H Dai, H Li, CS Chen, WI Shang, THP Chen IEEE Transactions on Software Engineering, 2020 | 195 | 2020 |
| Which log level should developers choose for a new logging statement? H Li, W Shang, AE Hassan Empirical Software Engineering 22, 1684-1716, 2017 | 127 | 2017 |
| Studying software logging using topic models H Li, TH Chen, W Shang, AE Hassan Empirical Software Engineering 23, 2655-2694, 2018 | 104 | 2018 |
| Towards just-in-time suggestions for log changes H Li, W Shang, Y Zou, A E. Hassan Empirical Software Engineering 22, 1831-1865, 2017 | 104 | 2017 |
| 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 | 94 | 2021 |
| 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 | 85 | 2020 |
| 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 | 77 | 2020 |
| 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 | 47 | 2021 |
| 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 | 44 | 2021 |
| 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 | 40 | 2021 |
| 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 | 33 | 2021 |
| 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 | 30 | 2022 |
| A Study of the Performance of General Compressors on Log Files K Yao, H Li, W Shang, AE Hassan Empirical Software Engineering, 2020 | 30 | 2020 |
| 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 | 29 | 2022 |
| 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 | 28 | 2022 |
| 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 | 28 | 2021 |
| 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 | 28 | 2020 |
| 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 | 27 | 2019 |
| 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 | 20 | 2018 |
| 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 | 19 | 2022 |
Weiyi ShangAssociate Professor, University of WaterlooAdresse e-mail validée de uwaterloo.ca
