Reliability of software is an important factor of today’s software industry. The techniques involved in the designing, testing & evaluation of a software system is called as software reliability engineering. The increasing demand for the reliability of software products need to be estimated and the estimation of such software systems in reliability engineering aspects become more critical for large scale projects. The ability of a system to perform system required operations or functions under the given condition for a specified period of time is called the reliability of the system. Software reliability is described as the probability of failure-free software operation for a given period of time in assign environment. This paper proposes an algorithmic design of reliability analysis model for predicting quantitative & qualitative analysis of software reliability by using probability theory & statistical analysis with a set of techniques and models. Reliability of software is a squeeze with the prevention of errors, faults finding or detection of faults & removal. Reliability of hardware is not predicted with probabilistic functions where the reliability of software is measured of probabilistic function with the notion of time.

Software Reliability, Reliability analysis, reliability growth model performance testing

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