7 citations · 11 across the 6 of their papers we have counts for
6 papers
Multivariate Time Series Anomaly Detection by Capturing Coarse-Grained Intra- and Inter-Variate Dependencies
Yongzheng Xie, Hongyu Zhang, Muhammad Ali Babar
Multivariate time series anomaly detection is essential for failure management in web application operations, as it directly influences the effectiveness and timeliness of implemen…
LogSD: Detecting Anomalies from System Logs through Self-supervised Learning and Frequency-based Masking
Yongzheng Xie, Hongyu Zhang, Muhammad Ali Babar
Log analysis is one of the main techniques that engineers use for troubleshooting large-scale software systems. Over the years, many supervised, semi-supervised, and unsupervised l…
LogGD:Detecting Anomalies from System Logs by Graph Neural Networks
Yongzheng Xie, Hongyu Zhang, Muhammad Ali Babar
Log analysis is one of the main techniques engineers use to troubleshoot faults of large-scale software systems. During the past decades, many log analysis approaches have been pro…
LogDP: Combining Dependency and Proximity for Log-based Anomaly Detection
Yongzheng Xie, Hongyu Zhang, Bo Zhang +2
Log analysis is an important technique that engineers use for troubleshooting faults of large-scale service-oriented systems. In this study, we propose a novel semi-supervised log-…
Data Preparation for Software Vulnerability Prediction: A Systematic Literature Review
Roland Croft, Yongzheng Xie, M. Ali Babar
Software Vulnerability Prediction (SVP) is a data-driven technique for software quality assurance that has recently gained considerable attention in the Software Engineering resear…
An Empirical Study of Developers' Discussions about Security Challenges of Different Programming Languages
Roland Croft, Yongzheng Xie, Mansooreh Zahedi +2
Given programming languages can provide different types and levels of security support, it is critically important to consider security aspects while selecting programming language…