With the growth of distributed systems in size, heterogeneity, pervasiveness and complexity of applications and network services, the effective management of distributed systems becomes more important and more difficult. Managers have to live with unstable, uncertain and incomplete management information. Individual hardware defects or software errors or combinations of such defects and errors ...

Software quality prediction models use the software metrics and fault data collected from previous software releases or similar projects to predict the quality of software components in development. Previous research has shown that this kind of models can yield predictions with impressive accuracy. However, building accurate software quality prediction model is still challenging for following t...

Software engineering activities in the Industry has come a long way with various improvements brought in various stages of the software development life cycle. The complexity of modern software, the commercial constraints and the expectation for high quality products demand the accurate fault prediction based on OO design metrics in the class level in the early stages of software development. T...

In efforts to reduce the number of faults in software, there has been much focus on technical approaches, such as fault prediction schemes. These approaches have now reached a ceiling in their efficacy and 20% of faults cannot be recalled even with the best prediction techniques currently available. In the end, faults in software are caused by human software developers; in most cases, this is e...

This paper proposes a new scheme for constructing software reliability growth models (SRGM) based on a nonhomogeneous Poisson process (NHPP). The main focus is to provide an efficient parametric decomposition method for software reliability modeling, which considers both testing efforts and fault detection rates (FDR). In general, the software fault detection/removal mechanisms depend on previo...

The selection of software metrics for building software quality prediction models is a search-based software engineering problem. An exhaustive search for such metrics is usually not feasible due to limited project resources, especially if the number of available metrics is large. Defect prediction models are necessary in aiding project managers for better utilizing valuable project resources f...

BACKGROUND – The accurate prediction of where faults are likely to occur in code is important because it can help direct test effort, reduce costs and improve the quality of software. OBJECTIVE – To summarise and analyse the published fault prediction studies in order to identify approaches used to build, measure and validate the performance of fault prediction models. METHOD – A systematic lit...