Anomaly detection technique for web applications performance using kendall's rank correlation coefficient
DOI:
https://doi.org/10.15587/2313-8416.2015.37461Keywords:
anomaly detection, web applications, Kendall’s rank correlation coefficientAbstract
This article presents the anomaly detection technique in web applications performance using Kendall’s rank correlation coefficient. Theoretical stages are described and simulation modeling to detect such anomalies in web applications performance is conducted. This technique makes possible to detect performance anomaly for web applications, based on correlation relationships between variables, but it doesn’t give any details on where exactly the anomaly occurred in the source code and why
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Copyright (c) 2015 Антон Александрович Сытник
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