ABSTRACT

Software quality analysis has become a key factor of analysis in development due to the considerable increase in the use of such systems in the current world. Software quality analysis has become a key factor of analysis in development due to the considerable increase in the use of such systems in the current world. Since 1972, with the work of Jelinski and Moranda, a considerable amount of Software Reliability Growth Models or SRGMs have been proposed. These models specify the form of a stochastic process that describes the behavior of the system regarding software failures in order to use these failures for the estimation of reliability, measurement of the current state, and prediction of future states. Reliability is the probability of the system to perform its function under specific operating conditions for a period of time. Statistical models provide an effective tool along with a theoretical background to describe software reliability.