Abstract. A lot of research has been done to promote and develop good elearning models, practices, and technological environments. However, fewer efforts were deployed to support e...
In this paper we report about an investigation in which we studied the properties of Bayes' inferred neural network classifiers in the context of outlier detection. The proble...
Abstract. We present a framework that automatically produces suggestions to resolve type errors in security-typed programs, enabling legacy code to be retrofit with comprehensive s...
Dave King 0002, Divya Muthukumaran, Sanjit A. Sesh...
Autonomic Management capabilities become increasingly important for attaining functional and quality goals in software systems. Nonetheless, successful Autonomic Management soluti...
This paper addresses the problem of scheduling jobs in soft real-time systems, where the utility of completing each job decreases over time. We present a utility-based framework fo...