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.
Additional Metadata
THEME Software (theme 1)
Publisher ACM
Project Coordination With Performance Guarantees
Conference Joint meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on Foundations of Software Engineering
Citation
Arbab, F, Sun, M, Moon, Y.-J, Kwiatkowska, M, & Qu, H. (2009). Reo2MC: a tool chain for performance analysis of coordination models. In Proceedings of Joint meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on Foundations of Software Engineering 2009 (7) (pp. 287–288). ACM.