In: Proc. 16th Performance Engineering Workshop, 24-25 July 2000, Durham, UK, pages 19-33. 2000.
Abstract: UML is increasingly being used in software engineering and other fields. If experienced UML practitioners were able to easily create models that could be used for performance and functional modeling, it would increase the likelihood of performance modeling being implemented at the design stage. This paper proposes a way of mapping UML models onto the stochastic process algebra PEPA and considers the advantages of expanding the mapping to other modeling paradigms.
Keywords: PEPA, UML, performance modeling, stochastic process algebras.