Software Reliability Growth Models, Tools and Data Sets-A Review

Abstract

This paper presents effective and comprehensive review on parametric and non parametric modeling of software reliability. Reliability is one of the most important characteristic of software quality. More than hundreds of software reliability models were proposed in last few decades. These models were based on various phases of software development life cycle. Software Reliability Growth Models based on software testing were explored a lot over the years. Many authors have proposed or discussed parametric models with following characteristics such as realistic and unrealistic assumptions, limitations, applicability, environment dependability and predictability. On the other hand authors have discussed the shortcomings of parametric models and proposed non-parametric models as an alternative to address the software reliability issues. But, both the modeling techniques have their pros and cons. In this paper our aim is to give an insight of parametric and non-parametric based software reliability models. The review of real life datasets and already proposed tools for software reliability will help the beginner level researcher to continue.