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Automatically creating test cases from statistical models of web application usage is an effective approach to generating test cases that represent actual usage. The models are typically generated from all collected user sessions. In this paper, we consider how grouping the user sessions -- specifically by the user's privilege -- creates different statistical models and the testing implications of...
Today's mobile devices have inherited many of the characteristics of desktop computing -- including the assumptions that the user's full attention and dexterity can be focused on the interface. Unfortunately, on-the-go users are impaired by their mobility and often find desktop-style Windows Icon Menu and Pointer (WIMP) interfaces difficult, if not impossible, to use while performing their primary...
Lots of growing neural network models have been proposed to tackle the incremental learning problem, but they also bring about the problem of fast growing complex structure. In this paper, we present a combinational Neural Network of SOM (Self-Organizing Maps) and RBF (Radial Basis Function) based on incremental learning method. The experiment of acoustic fault sources identification of underwater...
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