22 citations · 39 across the 4 of their papers we have counts for
4 papers
Token Interdependency Parsing (Tipping) -- Fast and Accurate Log Parsing
Shayan Hashemi, Mika Mäntylä
In the last decade, an impressive increase in software adaptions has led to a surge in log data production, making manual log analysis impractical and establishing the necessity fo…
Pinpointing Anomaly Events in Logs from Stability Testing -- N-Grams vs. Deep-Learning
Mika Mäntylä, Martín Varela, Shayan Hashemi
As stability testing execution logs can be very long, software engineers need help in locating anomalous events. We develop and evaluate two models for scoring individual log-event…
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…
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…