A METHOD OF RELIABILITY ASSESSMENT BASED ON BAYESIAN NETWORK FOR AN EMBEDDED OPEN SOURCE SOFTWARE

The current software development environment has been changing into new development paradigms such as concurrent distributed development environment and the so-called open project by using network computing technologies. New distributed development paradigm typified by Such open source project. will evolve at a rapid pace in the future. Especially, OSS (Open Source Software) systems which serve as key components of critical infrastructures in the society are still ever-expanding now. We focus on OSS developed under open source project. In this paper, in order to consider the effect of each software component on the reliability of art entire system under such open source software, we propose a method of reliability assessment based oil the bayesian network for OSS. Especially, we assume that the software failure intensity depends on the time, and the software fault-report phenomena on the bug tracking system keep an irregular state. Also, we analyze actual software fault count data to show numerical examples of software reliability assessment for the OSS.