Measurement Of Software Reliability With SPC Using Arranged Sample Approach

Abstract

In software industry,  to release the product to the customers is a crucial factor and depends on conditional failure rate. The associated reliability models will be developed using Arranged sample or Non-Homogeneous Poisson process (NHPP) on the occurrence times of bugs in softwre debugging. Arranged samples are very much used in the problems like detection of outliers, system reliability and life testing. Process Control is useful to forecast failures in the software operation to see progress in the software reliability. Online process improvement methods are widely used in software industry to monitor the software process. In this paper we put a procedure for Arranged sample based on cumulative value between times of failures with   Generalized Half Logistic Distribution type - I’s mvf.