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In this paper we suggest and evaluate a method for predicting fault densities in modified classes early in the development process, i.e., before the modifications are implemented. We start by establishing methods that according to literature are considered the best for predicting fault densities of modified classes. We find that these methods can not be used until the system is implemented. We suggest...
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 to expert estimations. The study is industry...
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