Modeling and Analysis of Software System Reliability
Min Xie, Guan Yue Hong, Claes Wohlin · Wiley series in probability and statistics · 2002
Software in an integral part of many products, ranging from durable goods such as household appliances to large and complex commercial and industrial systems. With the increasing dependency on software in our daily lives, the size and complexity of software systems has grown dramatically. This trend is of great interest to the software industry, calling for more practical analysis and prediction techniques of the reliability of software systems. Various modelling techniques for the analysis of software reliability at different development stages have appeared in the recent literature. This chapter describes the analysis of software failure data with commonly used nonhomogeneous Poisson process (NHPP) models to track the reliability growth trend during the testing phase. This chapter deals with the use of available information from earlier releases of a project for early reliability prediction. A detailed case study is presented to illustrate the approach.