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KHAN, Z. A., Shin, D., BIANCULLI, D., & BRIAND, L. (2023). Impact of Log Parsing on Log-based Anomaly Detection. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/57620. |
Khan, Z. A., Shin, D., Bianculli, D., & Briand, L. (2022). Guidelines for Assessing the Accuracy of Log Message Template Identification Techniques. In Proceedings of the 44th International Conference on Software Engineering (ICSE ’22) (pp. 1095-1106). New York, NY, United States: ACM. doi:10.1145/3510003.3510101 Peer reviewed |
Shin, D., Khan, Z. A., Bianculli, D., & Briand, L. (2021). A Theoretical Framework for Understanding the Relationship Between Log Parsing and Anomaly Detection. In Proceedings of the 21st International Conference on Runtime Verification (pp. 277-287). Springer. doi:10.1007/978-3-030-88494-9_16 Peer reviewed |