In model selection procedures in supervised learning, a model is usually chosen so that the expected test error over all possible test input points is minimized. On the other hand...
Model-based selective regression testing promises reduction in cost and labour by selecting a subset of the test suite corresponding to the modifications after system evolution. H...
Qurat-ul-ann Farooq, Muhammad Zohaib Z. Iqbal, Zaf...
— Software testing is a perennial problem, consequently it scores scant attention. An inclusion to testing challenges is aspect-oriented paradigm, which has a dichotomy of core a...
Although graphical user interfaces (GUIs) constitute a large part of the software being developed today and are typically created using rapid prototyping, there are no effective r...
— We are interested in transferring control policies for arbitrary tasks from a human to a robot. Using interactive demonstration via teloperation as our transfer scenario, we ca...