TY  - JOUR
T1  - A Software Reliability Growth Model
AU - Mir, Khurshid Ahmad 
JO  - Journal of Modern Mathematics and Statistics
VL  - 5
IS  - 1
SP  - 13
EP  - 16
PY  - 2011
DA  - 2001/08/19
SN  - 1994-5388
DO  - jmmstat.2011.13.16
UR  - https://makhillpublications.co/view-article.php?doi=jmmstat.2011.13.16
KW  - ML estimation
KW  -mean value function
KW  -Non homogeneous poisson process
KW  -software
KW  -period
KW  -stochastic
KW  -model
AB  - 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.
ER  -