How to assess the acceptability and credibility of simulation results
WSC '89 Proceedings of the 21st conference on Winter simulation
VV&A; IV: validation of trace-driven simulation models: more on bootstrap tests
Proceedings of the 32nd conference on Winter simulation
Artisst: An Extensible and Modular Simulation Tool for Real-Time Systems
ISORC '02 Proceedings of the Fifth IEEE International Symposium on Object-Oriented Real-Time Distributed Computing
Extracting Simulation Models from Complex Embedded Real-Time Systems
ICSEA '06 Proceedings of the International Conference on Software Engineering Advances
How to build valid and credible simulation models
Proceedings of the 40th Conference on Winter Simulation
Simulation-Based Timing Analysis of Complex Real-Time Systems
RTCSA '09 Proceedings of the 2009 15th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
A Statistical Approach to Response-Time Analysis of Complex Embedded Real-Time Systems
RTCSA '10 Proceedings of the 2010 IEEE 16th International Conference on Embedded and Real-Time Computing Systems and Applications
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As simulation-based analysis methods make few restrictions on the system design and scale to very large and complex systems, they are widely used in, e.g., timing analysis of complex real-time embedded systems (CRTES) in industrial circles. However, before such methods are used, the analysis simulation models have to be validated in order to assess if they represent the actual system or not, which also matters to the confidence in the simulation results. This paper presents a statistical approach to validation of temporal simulation models extracted from CRTES, by introducing existing mature statistical hypothesis tests to the context. Moreover, our evaluation using simulation models depicting a fictive but representative industrial robotic control system indicates that the proposed method can successfully identify temporal differences between different simulation models, hence it has the potential to be considered as an effective simulation model validation technique.