Commit a8e01cfa authored by Gaurav Kumar's avatar Gaurav Kumar
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Update README.md

parent 88d646a8
......@@ -65,4 +65,5 @@ We have used output data visualized in the form of graph from thesis and produce
In the Process folder, inside repositories_visualizer.py, we have two methods calculate_dominant_mcrcategories () and api_probability_in_mcrcategories (). In addition we have two other files that we have reused as in the original master thesis - https://gitlab.uni-koblenz.de/ggaurav/applying-apis/-/blob/main/Process/repositories_visualizer.py
calculate_dominant_mcrcategories (): This method calculates the dominant mcr category percentage.
api_probability_in_mcrcategories (): This method calculates the probability of an api having a particular mcr category.
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