Khurshid Ahmad  Mir, 
    A Software Reliability Growth Model,
    Journal of Modern Mathematics and Statistics,
    Volume 5,Issue 1,
    2011,
    Pages 13-16,
    ISSN 1994-5388,
    jmmstat.2011.13.16,
    (https://makhillpublications.co/view-article.php?doi=jmmstat.2011.13.16)
    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.
    Keywords: ML estimation;mean value function;Non homogeneous poisson process;software;period;stochastic;model