22 citations · 39 across the 4 of their papers we have counts for
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cs.SE2021★ 22 cited
OneLog: Towards End-to-End Training in Software Log Anomaly Detection
Shayan Hashemi, Mika Mäntylä
With the growth of online services, IoT devices, and DevOps-oriented software development, software log anomaly detection is becoming increasingly important. Prior works mainly fol…
cs.SE2021★ 12 cited
Detecting Anomalies in Software Execution Logs with Siamese Network
Shayan Hashemi, Mika Mäntylä
Logs are semi-structured text files that represent software's execution paths and states during its run-time. Therefore, detecting anomalies in software logs reflect anomalies in t…