Title :
The Prediction Model of Software Reliability Based on the Modular
Author :
Zhang Xiaonan ; Liu Anxin ; Yaming, Gao ; Zhang Tiefu ; Liu Hongliang
Author_Institution :
Eng. Inst. of Eng. Corps., PLA Univ. of Sci. & Tech., Nanjing, China
Abstract :
In the software reliability domain, the research about the modeling of software reliability is one of the earliest aspects. In this paper, a prediction model of software reliability based on the modular is presented. We apply Markov analysis theory to the software reliability prediction and discuss one kind software reliability model based on the module reliability and the module importance, in order to achieve the requirement of improving software quality. The proposed model utilizes the reliability data collected from software development projects and analyzes the module reliability and the module importance separately to study the whole software reliability of the system. Through application of this model to the actual project, we find that the new model has a better prediction precision and achieve ideal results.
Keywords :
Markov processes; software quality; software reliability; Markov analysis theory; prediction model; software development project; software quality; software reliability; Application software; Control systems; Information technology; Object oriented modeling; Object oriented programming; Predictive models; Reliability engineering; Software quality; Software reliability; Software systems; Markov chain; modular; software reliability model;
Conference_Titel :
Information Technology and Applications, 2009. IFITA '09. International Forum on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3600-2
DOI :
10.1109/IFITA.2009.561