Approximation of Similarity Failures by Homogeneous Poisson Process

Abstract

Software growth models depend on one key assumption about evolution of software systems. It is by continuously identifying and removing the faults whenever failures are identified. This processes to increases the reliability of the software. The data on failures and fixing of the faults is typically obtained during the final stages of testing. In this paper, we proposed an Independence Test conduct on angle oriented images to increases the reliability. A Homogeneous Poisson Process is used for the no.of images recognition occur constant in a unit time interval and failure data is acceptable for software reliability and failure pose parameters are estimate using Least Square Estimation. To find the reliability of the Independence on angle oriented data we used Nelson model and exponential based Goel–Okumoto model.