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Background: The accurate prediction of where faults are likely to occur in code can help direct test effort, reduce costs, and improve the quality of software. Objective: We investigate how the context of models, the independent variables used, and the modeling techniques applied influence the performance of fault prediction models. Method: We used a(More)
We report on a questionnaire survey of key success factors that impact software process improvement (SPI). We analysed responses to identify factors that have a major impact, or no impact, on implementing SPI. We found four factors (reviews, standards and procedures, training and mentoring, and experienced staff) that practitioners generally considered had(More)
Both software organisations and the academic community are aware that the requirements phase of software development is in need of further support. We address this problem by creating a specialised Requirements Capability Maturity Model (R-CMM 1). The model focuses on the requirements process as defined within the established Software Engineering(More)
Copyright and Moral Rights for the articles on this site are retained by the individual authors and/or other copyright owners. For more information on Open Research Online's data policy on reuse of materials please consult the policies page. Abstract Motivation in software engineering is recognized as a key success factor for software projects, but although(More)
BACKGROUND – The accurate prediction of where faults are likely to occur in code is important since it can help direct test effort, reduce costs and improve the quality of software. As a consequence, many different fault prediction models have been developed and reported in the literature. However, there is no consensus on what constitutes effective fault(More)
Background. The ability to predict defect-prone software components would be valuable. Consequently, there have been many empirical studies to evaluate the performance of different techniques endeavouring to accomplish this effectively. However no one technique dominates and so designing a reliable defect prediction model remains problematic. Objective. We(More)