A Study On Automatic Software Quality And Reliability Analysis

In this thesis the study over the topic of analytical approaches for software quality and reliability assurance is presented. The focus of this research is on a specific set of techniques used for software reliability assessment called Risk Analysis. Numerous approaches are explored and different new techniques are proposed to generate the risk model of a software product. These techniques are evaluated and using the results of this evaluation a new risk model (Compound Risk Model) is proposed which is using the advantages of different classes of risk analysis techniques to generate a more precise and practical model to identify more risky components of a software product. Also a research on the topic of Automatic Bug-Fix using Genetic Programming is presented which can fix logical defects of a buggy code and evolve it to a bug-free code. Finally it is discussed that these approaches can be used as an automated tool in an integrated development environment to localize the defective components and debug them.