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Analysis-on-OMPI

In this project, we have performed analysis on Open Message Passing Interface (OMPI). Open MPI offers advantages for system and software vendors, application developers and computer science researchers.

There are three contributors in this project.
1.Krithikashree Lakshminarayanan
2.Sai Pavani Gandla
3.Sirichandana Balmoori

The Analysis-on-OMPI is done in the following steps:
1.We have built the OMPI project in our local system and generated a code coverage report
2.Next examined the locations and usages of assert and debug statements
3.By using pydriller we have learnt more about the contributions

We placed all the coverage results that we got into the Coverage Reports folder, this folder has the html file that shows total coverage report.

Python_scripts folder consists of the python files that we used for analysing assert and debug count in test and production files,pydriller's data extraction scripts and it also has gen_figures.py which has script for all the plots that we generated in our project.

In the Datasets folder we placed all the csv files that serves as the dataset for our analysis.

In the Images folder all the png files that were generated from python scripts are placed.

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