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Advanced Interpretation of Software Performance Changes
 Kraus, Lukáš ; Rogalewicz, Adam (referee) ; Pavela, Jiří (advisor)
The aim of this work is to create an advanced algorithm for identifying suitable versions of a project in order to identify performance changes and errors. For this purpose, the Pe- run tool (developed within the VeriFIT research group), version management systems, methods for tracking performance changes between individual versions and display opti- ons for interpreting results are described. Analysis of the source code, detection of changes between versions, evaluation of changes according to rules, decision calculation whether versions are suitable for performance testing, and interpretation of results on a web page were designed and implemented in Python.
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