Model and Simulation Engines for Distributed Simulation of Discrete Event Systems

Software Process Simulation Modeling: Systematic literature review

“…[39] Reduction of the risk of software projects with the identification of defects in SDP using, or not, software tests. [40,43,49,64,71] Agile techniques to meet the requirements of stakeholders during the execution of software requirements engineering process [69] Application of simulation models as support for software construction [70] Distributed software development processes by the project and team size, number of artifacts, and project duration.…”

“…It would also be interesting to include other quantitative parameters such as number and list of issues, estimated time and time spent for resolving issues, priority of issues, etc.). Finally, Bañares and Colom [70] proposes the process to specify a simulation engine based on discrete event system. The process is also based on Transitions of Petri Nets and shown that in a centralized environment Transitions is better than other simulation techniques when the number of processes grows above a threshold.…”

Compositional Simulation of Abstract State Machines for Safety Critical Systems

“…Model-based simulation is a widely accepted technique for prototyping the behavior of Discrete Event Systems (DESs), and the only practical alternative for understanding the behavior of complex and large systems [9,27]. However, due to requirements complexity and system size, models are becoming unmanageable in the engineering process and are achieving unprecedented levels of scale and complexity in many fields [9]. Thus, it is becoming increasingly important to efficiently and effectively manage a system model as a composition of different sub-models to analyze separately and then integrate [12,25].…”