Abstract
At present, software development environment has been changing into new development paradigm in such client/server systems and distributed development by using network computing technologies. Software systems produced in such distributed one tend to increase in size and complexity. If the size of the software system is large, the number of faults detected during the testing phase becomes large, and the change of the number of faults which are detected and removed through each debugging becomes sufficiently small compared with the initial fault content at the beginning of the testing. In this paper, we propose a software reliability growth model describing a fault-detection process during the system testing phase of the distributed development environment by applying a mathematical technique of stochastic differential equations of an Ito type. Considering the conventional stochastic differential equation model for distributed development environment, we derive a flexible stochastic differential equation model, and show numerical examples with sensitivity analyses on the weight parameter.
