Jim Håkansson

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Statistical fault prediction models and expert estimations are two popular methods for deciding where to focus the fault detection efforts when the fault detection budget is limited. In this paper, we present a study in which we empirically compare the accuracy of fault prediction offered by statistical prediction models with the accuracy of expert(More)
Fault prediction models still seem to be more popular in academia than in industry. In industry expert estimations of fault proneness are the most popular methods of deciding where to focus the fault detection efforts. In this paper we present a study in which we empirically evaluate the accuracy of fault prediction offered by statistical models as compared(More)
The high non-functional requirements put on payment systems result in increasing complexity. One way of providing the expected quality is usage of a specialized platform. However, development on such a platform can be very expensive. In this paper we examine what level of quality can be expected when the development is done on a standard platform. We(More)
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