Automatic, load-independent detection of performance regressions by transaction profiles
Shadi Ghaith, Miao Wang, Philip Perry, John Murphy · 2013
Performance regression testing is an important step in the production process of enterprise applications. Yet, analysing this type of testing data is mainly conducted manually and depends on the load applied during the test. To ease such a manual task we present an automated, load-independent technique to detect performance regression anomalies based on the analysis of performance testing data using a concept known as Transaction Profile. The approach can be automated and it utilises data already available to the performance testing along with the queueing network model of the testing system.