Workflow technology is an emerging paradigm for systematic modeling and orchestration of job flow for enterprise and scientific applications. This paper introduces BPEL4Job, a BPEL...
The dependence of the classification error on the size of a bagging ensemble can be modeled within the framework of Monte Carlo theory for ensemble learning. These error curves ar...
This work proposes a parallel memetic algorithm applied to the total tardiness single machine scheduling problem. Classical models of parallel evolutionary algorithms and the gene...
Abstract. Use Cases are widely used for specifying systems, but their semantics are unclear in ways that make it difficult to apply use cases to complex problems. In this paper, we...
Model checking of infinite state systems is undecidable, therefore, there are instances for which fixpoint computations used in infinite state model checkers do not converge. Gi...