Deductive search for errors in free data type specifications using model generation

10Citations
Citations of this article
2Readers
Mendeley users who have this article in their library.
Get full text

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.

Cite

CITATION STYLE

APA

Ahrendt, W. (2002). Deductive search for errors in free data type specifications using model generation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2392, pp. 211–225). Springer Verlag. https://doi.org/10.1007/3-540-45620-1_18

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free