43 citations · 73 across the 11 of their papers we have counts for
3 papers · 1 filter
Impact of Log Parsing on Deep Learning-Based Anomaly Detection
Zanis Ali Khan, Donghwan Shin, Domenico Bianculli +1
Software systems log massive amounts of data, recording important runtime information. Such logs are used, for example, for log-based anomaly detection, which aims to automatically…
Systematic Evaluation of Deep Learning Models for Log-based Failure Prediction
Fatemeh Hadadi, Joshua H. Dawes, Donghwan Shin +2
With the increasing complexity and scope of software systems, their dependability is crucial. The analysis of log data recorded during system execution can enable engineers to auto…
Identifying the Hazard Boundary of ML-enabled Autonomous Systems Using Cooperative Co-Evolutionary Search
Sepehr Sharifi, Donghwan Shin, Lionel C. Briand +1
In Machine Learning (ML)-enabled autonomous systems (MLASs), it is essential to identify the hazard boundary of ML Components (MLCs) in the MLAS under analysis. Given that such bou…