Biswas Presenting Python Dataset at MSR 2019
May 25, 2019Papers
Sumon Biswas will describe our brand new dataset at the MSR 2019 Conference.
This work describes a new dataset that we have created to study Data Science software written using Python. Python is arguably the most popular language for writing Data Science software due to the large number of libraries available.
The paper’s abstract:
``The popularity of Python programming language has surged in recent years due to its increasing usage in Data Science. The availability of Python repositories in Github presents an opportunity for mining software repository research, e.g., suggesting the best practices in developing Data Science applications, identifying bug-patterns, recommending code enhancements, etc. To enable this research, we have created a new dataset that includes 1,558 mature Github projects that develop Python software for Data Science tasks. By analyzing the metadata and code, we have included the projects in our dataset which use a diverse set of machine learning libraries and managed by a variety of users and organizations. The dataset is made publicly available through Boa infrastructure both as a collection of raw projects as well as in a processed form that could be used for performing large scale analysis using Boa language. We also present two initial applications to demonstrate the potential of the dataset that could be leveraged by the community.’’
We look forward to collaborating with other MSR researchers who intend to use this dataset.