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Reo2MC: a tool chain for performance analysis of coordination models
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Foundations of Software Engineering archive
Proceedings of the 7th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering on European software engineering conference and foundations of software engineering symposium table of contents
Amsterdam, The Netherlands
DEMONSTRATION SESSION: Tool demonstrations table of contents
Pages 287-288  
Year of Publication: 2009
ISBN:978-1-60558-001-2
Authors
Farhad Arbab  CWI, Amsterdam, Netherlands
Sun Meng  CWI, Amsterdam, Netherlands
Young-Joo Moon  CWI, Amsterdam, Netherlands
Marta Kwiatkowska  University of Oxford, Oxford, United Kingdom
Hongyang Qu  University of Oxford, Oxford, United Kingdom
Sponsors
ACM: Association for Computing Machinery
SIGSOFT: ACM Special Interest Group on Software Engineering
Publisher
ACM  New York, NY, USA
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ABSTRACT

In this paper, we present Reo2MC, a tool chain for the performance evaluation of coordination models. Given a coordination model represented by a stochastic Reo connector, Reo2MC is able to automatically generate the Quantitative Intentional Automaton (QIA) as its operational semantics, and the corresponding Continuous-Time Markov Chain (CTMC), which allows us to apply existing CTMC tools, e.g., PRISM, for performance analysis of Reo connectors. In support of understanding connector behavior and performance properties, the tool also provides the graphical representation of the QIA and Markov Chains.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Eclipse Coordination Tools. http://reo.project.cwi.nl/.
 
2
F. Arbab. Reo: a channel-based coordination model for component composition. Mathematical Structures in Computer Science, 14(3):329--366, 2004.
 
3
F. Arbab, T. Chothia, R. van der Mei, S. Meng, Y.-J. Moon, and C. Verhoef. From Cooridination to Stochastic Models of QoS. In Proceedings of COORDINATION'09, pages 268--287, LNCS 5521, Springer, 2009.
 
4
C. Baier, M. Sirjani, F. Arbab, and J. J. M. M. Rutten. Modeling component connectors in Reo by constraint automata. Science of Computer Programming, 61(2):75--113, 2006.
 
5
M. Kwiatkowska. Quantitative verification: Models, techniques and tools. In Proceedings of ESEC/FSE 2007, pages 449--458. ACM Press, September 2007.