Software Reliability Growth Models Based on Non-Homogeneous Poisson Process

Non-homogeneous Poisson process (NHPP) model with typical reliability growth patterns is an important technology about evaluating software reliability. Two parameters which affect software reliability are original failures number and failure-detected rate. The paper firstly defines the software failure distributed and discusses a few kinds´ software reliability models. Non-homogeneous Poisson process model is presented. The models with different parameters are discussed and analyzed. The model´s restrict condition and some of parameters, original failures number and failure-detected ratio, are extrapolated. Assessment methodology about key parameters is given.