To remain competitive in the dynamic world of software development, organizations must optimize the usage of their limited resources to deliver quality products on time and within budget. This requires prevention of fault introduction and quick discovery and repair of residual faults. In this paper a new approach for predicting and classification of faults in object-oriented software systems is...

In software development research, early prediction of defective software modules always attracts the developers because it can reduces the overall requirements of software development such as time and budgets and increases the customer satisfaction. In the current context, with constantly increasing constraints like requirement ambiguity and complex development process, developing fault free re...

Computer program produces an incorrect or unexpected result or behaves in haphazard way then there is an error in that computer program. In order to improve the software quality, prediction of faulty modules is necessary. Various Metric suites and techniques are available to predict the modules which are critical and likely to be fault prone. Genetic Algorithm is a problem solving algorithm. It...

www.stsc.hill.af.mil 15 Areliability strategy is a set of software engineering practices defined for each project by combining different reliability achievement and assessment activities and methods, according to the software reliability goal and project’s characteristics. In [1] is a description of a decision-support system for reliability strategy selection based on a set of product, project,...

Software fault prediction methods are very appropriate for improving the software reliability. With the creation of large empirical databases of software projects, as a result of stimulated research on estimation models, metrics and methods for measuring and improving processes and products, intelligent mining of these datasets can largely add to the improvement of software reliability. In the ...

Various methods have been developed for improving the quality of a software product, especially for high-assurance and missioncritical software systems. One commonly used approach is software quality modeling, in which software practitioners utilize software metrics and defect data collected during the software development process to build defect prediction models that will help to find poor-qu...

Software defect predictors which classify the software modules into defect-prone and not-defect-prone classes are effective tools to maintain the high quality of software products. The early prediction of defect-proneness of the modules can allow software developers to allocate the limited resources on those defect-prone modules such that high quality software can be produced on time and within...

Defect tracking using computational intelligence methods is used to predict software readiness in this study. By comparing predicted number of faults and number of faults discovered in testing, software managers can decide whether the software are ready to be released or not. Our predictive models can predict: (i) the number of faults (defects), (ii) the amount of code changes required to corre...

Predicting failures at runtime is one of the most promising techniques to increase the availability of computer systems. However, failure prediction algorithms are still far from providing satisfactory results. In particular, the identification of the variables that show symptoms of incoming failures is a difficult problem. In this paper we propose an approach for identifying the most adequate ...

A software defect is an error, failure, or fault in a software [1], that produces an incorrect or unexpected result, or causes it to behave in unintended ways. It is a deficiency in a software product that causes it to perform unexpectedly [2]. Software defects or software faults are expensive in quality and cost. Moreover, the cost of capturing and correcting defects is one of the most expensi...