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Analytical tool for information extraction from version control systems
 Chromický, Václav ; Pavlíčková, Jarmila (advisor) ; Šlajchrt, Zbyněk (referee)
This thesis discusses the extraction of information from version control systems. Its goal is to describe the implementation of a software application that facilitates this type of extraction, focusing on the version control system Git. The theoretical part of the thesis identifies and analyses data stored in repositories. It also evaluates the tools available on the market using specific criteria. The practical part specifies development requirements, describes the resulting software application, and contains a how-to manual for extending the application and implementing one's own metrics that lead to gaining information. The application is developed in the CoffeeScript programming language and Node.js engine. It contains several example metrics. The output is a graphical user interface with interactive graphs served by a built-in HTTP server. Another output option is a machine-readable export to a file.
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