A reliability model based on heterogeneous software architecture

Application of existing architecture-based software reliability models is strictly limited to software in which the component transitions satisfy the Markov properties. When software has both deterministic and probabilistic behaviors, these models intentionally model it as a Markov process, of which estimation of reliability with poor accuracy come as a result. The objective of this paper is to present a new reliability model that can resolve the heterogeneous software architectures with or without Markov properties. We present an algorithm generating Markov model from heterogeneous software architecture modeled in UML sequence diagram. A comparison with existing models is given with a case study.