@article{MAKHILLJMMS20115128160,
    title = {A Software Reliability Growth Model},
    journal = {Journal of Modern Mathematics and Statistics},
    volume = {5},
    number = {1},
    pages = {13-16},
    year = {2011},
    issn = {1994-5388},
    doi = {jmmstat.2011.13.16},
    url = {https://makhillpublications.co/view-article.php?issn=1994-5388&doi=jmmstat.2011.13.16},
    author = {Khurshid Ahmad},
    keywords = {ML estimation,mean value function,Non homogeneous poisson process,software,period,stochastic,model},
    abstract = {A counting process representing the number of failures experienced in a given period of time by a system is proposed as a stochastic model for studying the reliability of the developed software. A Non Homogeneous Poisson Process (NHPP) with its mean value function specifed by a Pareto model is considered. Its parameters are estimated to assess the reliability of a software system. The results are illustrated for a live software failure data.}
    }