Combined effect of fault detection and fault introduction rate on software reliability modeling
Subhashis Chatterjee, Lakshmi N. Upadhyaya, J.B. Singh, Shobhit Nigam · Statistics in Transition New Series · 2009
This paper proposes a software reliability growth model to study the combined effect of increasing error detection and decreasing error introduction rate under imperfect debugging. The model is developed based on non homogeneous Poisson process (NHPP) and can be used to estimate and predict the reliability as well as the cost of a software product. Some real life data has been used to validate the proposed model and to show its usefulness. Comparison of this model with other has been carried out.