Software reliability growth modeling for distributed development environment: A stochastic differential equation approach and its numerical estimation

Many software systems have been produced under host-concentrated development environment. However, at present, the software development environment has been changing into distributed development environment because of the progress of network computing technologies. Many software reliability growth models (SRGMs) based on nonhomogeneous Poisson processes are discrete state space models, and these models have not treated the software fault-detection process as a stochastic process with a continuous state space. In this paper, we propose an SRGM based on a stochastic process with a continuous state space for distributed development environment by applying a mathematical technique of stochastic differential equations.