NDLI: Composition semantics for executable and evolvable behavioral modeling in MDA

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Composition semantics for executable and evolvable behavioral modeling in MDA

Content Provider	ACM Digital Library
Author	Roubtsova, Ella McNeile, Ashley
Abstract	The vision of MDA is to decouple the way that application systems are defined from the specification of their deployment platform. Achieving this vision requires that Platform Independent models are rich enough to capture the behavior of the application, and to support reasoning and execution of functional behavior. We focus on state transition modeling as being the best able to support MDA and appraise the two types of state machine (Behavior State Machines and Protocol State Machines) defined in UML. We conclude that, for different reasons, neither has semantics that are well placed to serve as a basis for PIM level behavior modeling. We propose that state transition modeling can be both simplified and strengthened by providing semantics that support process algebraic composition. We claim a number of important advantages for this. Firstly, it provides a common language for defining a range of behavioral abstractions, including software components, behavioral contracts and cross-cutting aspects. Secondly that it better supports analysis of models, by exploiting the formal analysis techniques of process algebra. Thirdly, the semantics enable model execution and testing at the platform independent level across a wider domain than is possible with current UML formalisms.
Starting Page	1
Ending Page	8
Page Count	8
File Format	PDF
ISBN	9781605585031
DOI	10.1145/1555852.1555855
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2009-06-23
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Reasoning Csp parallel composition Platform independent model Mda Behavior modeling Ccs composition
Content Type	Text
Resource Type	Article

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