Predicting Fault in the Process of Producing Important Android Applications Using Data Mining Techniques

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Provided by: International Journal of Computer Applications
Topic: Software
Format: PDF
In this paper, the authors predict fault in the process of producing important Android applications using data mining techniques. Predictable models must not only be correct in predicting fault but also must be understandable, which needs the user to understand the motivation of the model prediction. Unfortunately, understandability of the fault types is ignored in order to achieve the predictable efficiency of the fault prediction models. In order to solve this problem, some trees are extracted from the random forests and support vector machines for the logistic regression and the rule extraction algorithm are used; also, NASA MDP data are used for extracting the model.
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