A complete diagnostic Bayesian network model cannot be achieved and the result of the constructed model cannot be guaranteed unless correct and reliable data are provided to the m...
This paper presents a single project experiment on the fault revealing capabilities of model-based test sets. The tests are generated from UML statecharts and UML sequence diagram...
Supaporn Kansomkeat, Jeff Offutt, Aynur Abdurazik,...
This paper deals with collaborative knowledge construction in videoconferencing. The main issue is about how to predict individual learning outcome, in particular how far individu...
The adoption of Domain-Specific Modeling Languages (DSMLs) for generating framework-based applications has proved to be an effective way of enforcing the correct use of frameworks...
In many machine learning problems, labeled training data is limited but unlabeled data is ample. Some of these problems have instances that can be factored into multiple views, ea...