Performance evaluation of reliability assessment method based on stochastic differential equation model for a large-scale open source solution

Abstract

At present, many open source softwares are developed in all parts of the world, i.e, Firefox, Apache HTTP server, Linux, Android, etc. Network technologies have made rapid progress with the dissemination of computer systems in all areas. These network technologies become increasingly more complex in a wide sphere. Especially, open source software systems which serve as key components of critical infrastructures in the society are still ever-expanding now. At present, a large scale open source solution by using several open source softwares is now attracting attention as the next-generation software development paradigm. In this paper, we propose a new approach to software reliability assessment by using the stochastic differential equations. Also, we analyze actual software fault-count data to show numerical examples of software reliability assessment considering component collision for several open source softwares. Especially, we show several results of performance evaluation for sensitivity analysis in terms of our model parameters. Moreover, we compare our model with the conventional model based on stochastic differential equations in terms of goodness-of-fit for actual data. We show that the proposed model can assist improvement of quality for the large scale open source solution.