New Software Reliability Growth Model: Piratical Swarm Optimization -Based Parameter Estimation in Environments with Uncertainty and Dependent Failures

Abstract

In this paper our software solutions are delivered and installed in field conditions that are either identical to or comparable to development and test environments. As a result, they may also be used in a variety of settings that differ from the ones in which they were created and tested. Software dependability can be hard to increase for a variety of reasons, including a particular environment or a flaw in the code. In this research, we offer a novel software reliability model that considers operating environment unpredictability. It has been explained the proposed model and other models of the non-homogeneous Poisson process (NHPP) is demonstrated with examples. Has been used two sets of defect data from software applications. We estimated all models’ parameters by using the Cuckoo Search algorithm (CS) technique. We also conducted a simulation process to determine the good model. Through the results and their comparison with other NHPP models used, the proposed model is better than the other models and fits the data better.