Communicating sequential processes
Communicating sequential processes
Statecharts: A visual formalism for complex systems
Science of Computer Programming
Behavior-preserving transformations for high-level synthesis
Proceedings of the Mathematical Sciences Institute workshop on Hardware specification, verification and synthesis: mathematical aspects
A Calculus of Communicating Systems
A Calculus of Communicating Systems
Case Studies of Model Checking for Embedded System Designs
ACSD '03 Proceedings of the Third International Conference on Application of Concurrency to System Design
Automatic RTL Test Generation from SystemC TLM Specifications
ACM Transactions on Embedded Computing Systems (TECS)
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With the rise in complexity of modern systems, designers are spending a significant time on modeling at the system level of abstraction. This paper introduces Model Algebra, a formalism built on top of system level design languages, that can be used for implementing functionality preserving transformations on system level models. Such transformations enable us to implement high level design decisions without having to write new models for each design decision. Moreover, since these transformations preserve functionality, the transformed models do not need to be re-verified. We present the definition of Model Algebra and show how system level models can be represented as expressions in this formalism. The laws of Model Algebra are use to define correct model transformations. We show a system level design scenario, where design decisions gradually refine the functional model of the system to an architectural model with components and communication structure. The refinement can be performed using the correct model transformations in our formalism.