Component-Oriented Reliability Analysis Based on Hierarchical Bayesian Model for an Open Source Software

• 作者: Hidemitsu Takehara Shigeru Yamada Yoshinobu Tamura
• 来源期刊: 美国运筹学期刊(英文)
• 学科: 医学
• 关键词: Open Source Software Reliability BAYESIAN Model MARKOV CHAIN MONTE Carlo Method
• 年，卷（期）: 2011,（2）
• 页码范围: 25-32
• 页数: 8页
• 分类号: R73

摘要

The successful experience of adopting distributed development models in such open source projects includes GNU/Linux operating system, Apache HTTP server, Android, BusyBox, and so on. The open source project contains special features so-called software composition by which several geographically-dispersed compo-nents are developed in all parts of the world. We propose a method of component-oriented reliability as-sessment based on hierarchical Bayesian model and Markov chain Monte Carlo methods. Especially, we fo-cus on the fault-detection rate for each component reported to the bug tracking system. We can assess the reliability for the whole open source software system by using the confidence interval for each component. Also, we analyze actual software fault-count data to show numerical examples of reliability assessment for OSS.