A Software Reliability Growth Model with Two Types of Learning

Reliability of dynamic systems is always a matter of concern in our day-to-day lives. As we keep on building new systems, a certain level of confidence must exist amongst the designers and developers of the system with regard to the reliability of the newly built system. The same holds true for the users of the system for the system to gain acceptance at any level. Thus, the growth of the reliability of a system continues to remain a very important research area. Many SRGMs have been proposed including some based on Non-Homogeneous Poisson Process (NHPP). The role of human learning and experiential analysis are being studied and incorporated in such models. In this paper, we propose an SRGM with learning effect with two types of learning effects. The two types of learning effect are autonomous learning and acquired learning which is gained after a period of repeated experience/observation of the testing/debugging process by the tester/debugger resulting in concept formation by the tester/debugger about that particular pattern.