@@ -62,9 +62,7 @@ We have used output data visualized in the form of graph from thesis and produce

# Process:

In the Process folder, inside repositories_visualizer.py, we have two methods calculate_dominant_mcrcategories () and api_probability_in_mcrcategories () - 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.

* 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.

In addition we have two other files that we have reused as in the original master thesis.