SPC for Software Reliability: Imperfect Software Debugging Model

Software reliability process can be monitored efficiently by using Statistical Process Control (SPC). It assists the software development team to identify failures and actions to be taken during software failure process and hence, assures better software reliability. In this paper, the authors consider a software reliability growth model of Non-Homogenous Poisson Process (NHPP) based, that incorporates imperfect debugging problem. The proposed model utilizes the failure data collected from software development projects to analyze the software reliability. The maximum likelihood approach is derived to estimate the unknown point estimators of the model. They investigate the model and demonstrate its applicability in the software reliability engineering field.