DocumentCode :
3019203
Title :
Towards Quantitative Analysis of Real-Time UML Using Stochastic Petri Nets
Author :
Trowitzsch, J. ; Zimmermann, A. ; Hommel, G.
Author_Institution :
Real-Time Syst. & Robotics, Tech. Univ. Berlin, Germany
fYear :
2005
fDate :
04-08 April 2005
Abstract :
In recent years the Unified Modeling Language (UML) including its profiles gained increasing acceptance as a specification language for modeling real-time systems. It is crucial to enable early quantitative predictions during the modeling phase of real-time systems development processes. UML itself is not directly analyzable. Performance evaluation techniques are thus necessary for these UML models. The challenge within our research work is the derivation of Stochastic Petri nets (SPNs) from UML models aimed at performance evaluation of real-time systems.
Keywords :
Petri nets; Unified Modeling Language; formal specification; real-time systems; software performance evaluation; stochastic processes; UML; Unified Modeling Language; performance evaluation; quantitative analysis; real-time systems; specification language; stochastic Petri nets; Delay; Performance analysis; Petri nets; Power system modeling; Real time systems; Samarium; Specification languages; Stochastic processes; Stochastic systems; Unified modeling language;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Processing Symposium, 2005. Proceedings. 19th IEEE International
Print_ISBN :
0-7695-2312-9
Type :
conf
DOI :
10.1109/IPDPS.2005.441
Filename :
1419984
Link To Document :
بازگشت