Name
Abstract | ||
|---|---|---|
The development of complex systems often leads to delays in integration and roll-out, massive cost overruns, and in many cases to sub-optimal solutions regarding system performance and robustness. In order to overcome these issues, model-based systems engineering methodologies can be employed. The application of simulation models in addition to system specifications increase the engineers' understanding of complex system behavior. The approach also allows the detection of incomplete or inconsistent functional requirements as well as other design failures. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/SYSCON.2015.7116826 | SysCon |
Keywords | Field | DocType |
performance evaluation,discrete event simulation,global optimization,model reconfiguration,probabilistic metaheuristic,simulated annealing,unified modeling language,optimization,sensors,computational modeling,wireless sensor networks | Complex system,Functional requirement,Systems engineering,Computer science,System of systems,Systems design,Robustness (computer science),Systems architecture,Reliability engineering,Control reconfiguration | Conference |
ISSN | Citations | PageRank |
1944-7620 | 3 | 0.46 |
References | Authors | |
7 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| alexander wichmann | 1 | 10 | 5.23 |
| sven jager | 2 | 10 | 2.87 |
| Jungebloud, T. | 3 | 26 | 4.73 |
| Ralph Maschotta | 4 | 12 | 7.29 |
| Armin Zimmermann | 5 | 290 | 32.66 |