Initially, when implementing a design automation system, the focus is on successfully developing a system that generates design variants based on different customer specifications (i.e. the execution of system embedded knowledge and system output).
A model-driven framework to simulate the execution of system behavior is proposed in order to identify the presence of errors already in early design phases, prior to the implementation phase.
In contrast with our approach, the work in [7] presents a programming model for modeling distributed systems, but it does not allow the execution of such systems in a distributed manner.
The approach combines multi-agent system with Service Oriented Architectures for the development of intelligent automation control and execution of manufacturing systems.
In this paper we are focusing on the problem of customizing data structures instances during the execution of software systems using a supervised learning approach.
The selection of experts was based on the fact that they are informed and experienced in OC forward and backward distribution, i.e., they have been directly involved in the planning and execution of such systems.
Such emergent scenarios where multiple networks and applications interoperate to meet high level requirements of the user will pose several changes in the design and execution of WSN systems.
During the last decade a new trend of approaches has emerged, which considers models not just documentation artefacts, but also central artefacts in the software engineering field, allowing the creation or automatic execution of software systems starting from those models.
In summary, Vanted and Cytoscape both enable the execution of various systems biology tasks within one tool.
This framework, using Monte Carlo analysis and Markov probability matrices, analyzes the execution of potential system "change mechanisms," which alter a system over time to respond to epoch shifts.
