Name
Abstract | ||
|---|---|---|
Viewpoint modeling is an effective approach for analyzing and designing complex systems. Splitting various elements and corresponding constraints into different perspectives of interests, enables separation of concerns such as domains of expertise, levels of abstraction, and stages in lifecycle. Specifically, in Systems Engineering different viewpoints could include functional requirements, physical architecture, safety, geometry, timing, scenarios, etc. Despite partial interdependences, the models are usually developed independently by different parties, using different tools and languages. However, the essence of Systems Engineering requires repetitive integration of many viewpoints in order to find feasible designs and to make good architectural decisions, e.g., in each mapping between consecutive levels of abstraction and in each design space exploration. This integration into one consistent model becomes a significant challenge from both modeling and information management perspectives. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.procs.2013.01.024 | Procedia Computer Science |
Keywords | Field | DocType |
Modular Analysis,Design Space Exploration,Viewpoints,Composability,Optimization,Ontology | Complex system,Ontology,Functional requirement,Data mining,Information management,Viewpoints,Computer science,Separation of concerns,Modular design,Design space exploration | Journal |
Volume | ISSN | Citations |
16 | 1877-0509 | 2 |
PageRank | References | Authors |
0.47 | 4 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michael Masin | 1 | 121 | 13.55 |
| Lior Limonad | 2 | 58 | 7.12 |
| Aviad Sela | 3 | 37 | 5.65 |
| David Boaz | 4 | 43 | 2.73 |
| Lev Greenberg | 5 | 73 | 6.19 |
| Nir Mashkif | 6 | 6 | 2.23 |
| Ran Rinat | 7 | 13 | 2.27 |