Guidelines for assessing the accuracy of log message template identification techniques ZA Khan, D Shin, D Bianculli, L Briand Proceedings of the 44th International Conference on Software Engineering …, 2022 | 51 | 2022 |
A theoretical framework for understanding the relationship between log parsing and anomaly detection D Shin, ZA Khan, D Bianculli, L Briand International Conference on Runtime Verification, 277-287, 2021 | 10 | 2021 |
Impact of log parsing on deep learning-based anomaly detection ZA Khan, D Shin, D Bianculli, L Briand arXiv preprint arXiv:2305.15897, 2023 | 8 | 2023 |
Impact of log parsing on deep learning-based anomaly detection ZA Khan, D Shin, D Bianculli, LC Briand Empirical Software Engineering 29 (6), 1-33, 2024 | | 2024 |
On log parsing and log-based anomaly detection: an empirical evaluation ZA Khan Unilu-University of Luxembourg [The Faculty of Sciences, Technology and …, 2023 | | 2023 |