Testing-effort function for debugging in software systems and soft computing model

A lot of importance has been attached to the testing phase of the Software Development Life Cycle (SDLC). It is during this phase it is checked whether the software product meets user requirements or not. Any discrepancies that are identified are removed. But testing needs to be monitored to increase its effectiveness. Software Reliability Growth Models (SRGMs) that specify mathematical relationships between the failure phenomenon and time have proved useful. Our propose method; develop a reliability model will provides a method for purpose of testing-effort functions for software reliability growth model based on non-homogeneous Poisson process (NHPP). In this propose method, we will consider the case where the time dependent behaviors of testing-effort expenditures are described by Weibull-Type Testing-Effort Function. In the proposed model contained of four stages, namely: Initial Stage: In this stage, we will collect basic assumption attribute for model. After that, we will got for First stage, here we will present Modeling Software Reliability and Testing Effort functions and the same time software release policy. A new imperfect debugging discrete software reliability growth model with testing effort. In third stage: we will get performance analysis model to extend for the tradeoff analysis with respect to aspiration level for reliability of the SRGM. The predictive on cost, reliability and intensity of the model has been worked on two real failure datasets. The results obtained show remarkable improvements and are fairly encouraging.