Interacting Process Classes
| dc.contributor.author | GOEL, Ankit | en_US |
| dc.contributor.author | SUN, Meng | en_US |
| dc.contributor.author | ROYCHOUDHURY, Abhik | en_US |
| dc.contributor.author | THIAGARAJAN, P. S. | en_US |
| dc.date.accessioned | 2005-09-07T06:47:59Z | en_US |
| dc.date.accessioned | 2017-01-23T06:59:36Z | |
| dc.date.available | 2005-09-07T06:47:59Z | en_US |
| dc.date.available | 2017-01-23T06:59:36Z | |
| dc.date.issued | 2005-09-07T06:47:59Z | en_US |
| dc.description.abstract | Many reactive control systems consist of a large number of similar interacting objects; these objects can be often grouped into classes. Such interacting process classes appear in telecommunication, transportation and avionics domains. In this paper, we propose a modeling and simulation technique for interacting process classes. Our modeling style uses well-known UML notations to capture behavior. In particular, the control flow of a process class is captured by a state diagram, unit interactions between process objects by sequence diagrams and the structural relations are captured via class diagrams. The key feature of our approach is that our simulation is symbolic. We dynamically group together objects of the same class based on their past behavior. This leads to a simulation strategy that is both time and memory efficient and we demonstrate this on well-studied non-trivial examples of reactive systems. We also use our simulator for debugging realistic designs such as NASA's CTAS weather monitoring system. | en_US |
| dc.format.extent | 862314 bytes | en_US |
| dc.format.mimetype | application/pdf | en_US |
| dc.identifier.uri | https://dl.comp.nus.edu.sg/xmlui/handle/1900.100/1852 | en_US |
| dc.language.iso | en | en_US |
| dc.relation.ispartofseries | TRA9/05 | en_US |
| dc.title | Interacting Process Classes | en_US |
| dc.type | Technical Report | en_US |