Integrated Formal Methods
Author(s) -
Michaël Leuschel,
Heike Wehrheim
Publication year - 2009
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
DOI - 10.1007/978-3-642-00255-7
Subject(s) - computer science , formal methods , programming language , software engineering
Data refinement in a state-based language such as Z is defined using a relational model in terms of the behaviour of abstract programs. Downward and upward simulation conditions form a sound and jointly complete methodology to verify relational data refinements. On the other hand, refinement in a process algebra takes a number of different forms depending on the exact notion of observation chosen, which can include the events a system is prepared to accept or refuse. In this paper we investigate how divergence can be modelled relationally, and in particular show how differing process algebraic interpretations of divergence can be embedded in a relational framework. In doing so we derive relational simulation conditions for process algebraic refinement incorporating divergence
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