Normalization of linear horn clauses

Thomas Martin Gawlitza, Helmut Seidl, Kumar Neeraj Verma

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

Abstract

Nielson et al. [12] exhibit a rich class of Horn clauses which they call . Least models of finite sets of Horn clauses are regular tree languages. Nielson et al. [12] describe a normalization procedure for computing least models of finite sets of Horn clauses in the form of tree automata. In the present paper, we simplify and extend this normalization procedure to a semi-procedure that deals with finite sets of linear Horn clauses. The extended semi-procedure does not terminate in general but does so on useful subclasses of finite sets of linear Horn clauses. The extension in particular coincides with the normalization procedure of Nielson et al. [12] for sets of Horn clauses. In order to demonstrate the usefulness of the extension, we show how backward reachability analysis for constrained dynamic pushdown networks (see Bouajjani et al. [3]) can be encoded into a class of finite sets of linear Horn clauses for which our normalization procedure terminates after at most exponentially many steps.

OriginalspracheEnglisch
TitelFormal Methods
UntertitelFoundations and Applications - 13th Brazilian Symposium on Formal Methods, SBMF 2010, Revised Selected Papers
Seiten242-257
Seitenumfang16
DOIs
PublikationsstatusVeröffentlicht - 2011
Veranstaltung13th Brazilian Symposium on Formal Methods, SBMF 2010 - Natal, Brasilien
Dauer: 8 Nov. 201011 Nov. 2010

Publikationsreihe

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band6527 LNCS
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349

Konferenz

Konferenz13th Brazilian Symposium on Formal Methods, SBMF 2010
Land/GebietBrasilien
OrtNatal
Zeitraum8/11/1011/11/10

Fingerprint

Untersuchen Sie die Forschungsthemen von „Normalization of linear horn clauses“. Zusammen bilden sie einen einzigartigen Fingerprint.

Dieses zitieren