A Method of OSS Reliability Assessment Based on Public Repository Analysis

Abstract

Open Source Software (OSS) is developed by various developers. Moreover, OSS user is increasing all over the world. There are various methods to maintain the software. Large-scale OSS projects mainly use bug tracking system (BTS) for bug management. Recently, OSS project uses public software repository to publish software such as GitHub. Public software repository has a function to report software issue. In the past, several researchers have proposed reliability assessment method using BTS. In this research, we propose a reliability assessment method based on deep learning using software repository analysis.