Combined effect of fault detection and fault introduction rate on software reliability modeling

S. Chatterjee; L.N. Upadhyaya; J.B. Singh; S. Nigam

S. Chatterjee Assistant Professor, Dept. of Applied Mathematics, ISMU, Dhanbad-826004, Corresponding author , L.N. Upadhyaya Professor, Dept. of Applied Mathematics, ISMU, Dhanbad-826004 , J.B. Singh Research Scholar, Dept. of Applied Mathematics, ISMU, Dhanbad , S. Nigam Project Fellow, Department of Applied Mathematics, ISMU, Dhanbad Statistics in Transition new series, vol. 10, 2009, 3, pages: 457-464 Published online: 1 December 2009

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ABSTRACT

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.

KEYWORDS

Software Reliability, Imperfect Debugging, Multiple Failures, Non Homogeneous Poisson Process, Increasing Fault Detection Rate, Decreasing Fault Removal Rate.

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