GitHub repository analysis & prediction

• Main Author: Li, Shing To
• Other Authors: Sourav Saha Bhowmick
• Format: Final Year Project
• Language: English
• Published: 2016
• Subjects: DRNTU::Business::International business::Data processing; DRNTU::Engineering::Computer science and engineering::Information systems::Information systems applications
• Online Access: http://hdl.handle.net/10356/66680
• Institution: Nanyang Technological University

GitHub is a popular hosting service for software projects boasting over 35 million repositories. Many software projects today rely upon reusing existing Open Source projects in the form of a starting reference or as a package dependency. Bad software dependencies may impact a project in the long run. This project aims to use data mining to uncover patterns and discover new knowledge on what makes a repository healthy. To apply the results of this finding, a web application that uses the results of this analysis has been built and provides prediction for a GitHub repository. This web application can be visited at http://gitvital.ddns.net while the server is online.