Name
Title | ||
|---|---|---|
Enriching Uml From Model Multiplicity To Model Singularity With Structure-Behavior Coalescence |
Abstract | ||
|---|---|---|
Unified Modeling Language (UML) possesses the model multiplicity problems because it does not integrate the systems structure with the systems behavior. To overcome this shortcoming, we propose an approach to enrich UML from model multiplicity to model singularity by creating its kernel model with the structure-behavior coalescence process algebra. The UML structure and behavior models will be derived from this kernel model. The characteristics of the single kernel model prevents the UML from the model multiplicity problem. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/SMC.2018.00340 | 2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) |
Keywords | Field | DocType |
Systems modeling, UML, process algebra | Kernel (linear algebra),Unified Modeling Language,Computer science,Multiplicity (mathematics),Singularity,Theoretical computer science,Artificial intelligence,Systems modeling,Process calculus,Coalescence (physics),Machine learning | Conference |
ISSN | Citations | PageRank |
1062-922X | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Keng-Pei Lin | 1 | 117 | 11.61 |
| Chih-Ya Shen | 2 | 103 | 17.13 |
| William Chao | 3 | 0 | 0.34 |