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A new software reliability growth model with testing coverage and uncertainty of operating environments
* 1 , 2 , 3
1  BITS Pilani K K Birla Goa Campus, Goa, India
2  BITS Pilani K. K. Birla Goa Campus, Zuarinagar, Goa-403726, India
3  Amity Institute of Applied Sciences, Amity University Uttar Pradesh, Noida-201313, India
Academic Editor: Marjan Mernik (registering DOI)

The number of software failures, software reliability, and failure rates can be measured and predicted by the software reliability growth model (SRGM). SRGM is developed and tested in a controlled environment where the operating environment is different. Many SRGMs have developed, assuming that the working and developing environments are the same. In this paper, we have developed a new SRGM incorporating the imperfect debugging and testing coverage function in the presence of a random environment. The proposed model’s parameters are estimated from two real data sets and compared with some existing SRGMs based on five goodness-of-fit criteria. The results show that the proposed model gives better descriptive and predictive performance than the existing model.

Keywords: Non-homogeneous Poisson process; Software reliability growth models; Mean value function; Testing coverage function; Random field environment.