Understanding the Surviving Bugsin Open Source Software through the Community Perspective: Using Bayesian Analysis

摘要

Mining the software repositories expose a lot of factors for software quality improvement. Researchers have worked extensively from various aspects of bug reports to predict, prevent and categorize the bugs in the software. Unfortunately, the survival aspect of software bugs is hardly reflected upon for bug removal efficiency. The surviving bugs are far more crucial for software reliability as compared to timely detected bugs. In this study, we ahead to highlight the existence of surviving bugs in open source software projects from the community perspective. A causal assessment model is developed using the Bayesian network for drawing the probabilistic inferenceto answer the proposed research questions. The study used data set from Apache 2.0.44 official release to reflect upon the findings.