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Deductive Search for Errors in Free Data Type Specifications Using Model Generation

  • Wolfgang Ahrendt
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2392)

Abstract

The presented approach aims at identifying false conjectures about free data types. Given a specification and a conjecture, the method performs a search for a model of an according counter specification. The model search is tailor-made for the semantical setting of free data types, where the fixed domain allows to describe models just in terms of interpretations. For sake of interpretation construction, a theory specific calculus is provided. The concrete rules are ‘executed’ by a procedure known as model generation. As most free data types have infinite domains, the ability of automatically solving the non-consequence problem is necessarily limited. That problem is addressed by limiting the instantiation of the axioms. This approximation leads to a restricted notion of model correctness, which is discussed. At the same time, it enables model completeness for free data types, unlike approaches based on limiting the domain size.

Keywords

Model Candidate Function Symbol Variable Assignment Object Logic Abstract Data Type 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Wolfgang Ahrendt
    • 1
  1. 1.Department of Computing ScienceChalmers University of TechnologyGöteborgSweden

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