Context-Aided Variable Elimination for Requirement Engineering

Fuente: arXiv
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Autores principales: Incer, Inigo, Benveniste, Albert, Murray, Richard M., Sangiovanni-Vincentelli, Alberto, Seshia, Sanjit A.
Formato: Preprint
Publicado: 2023
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author Incer, Inigo
Benveniste, Albert
Murray, Richard M.
Sangiovanni-Vincentelli, Alberto
Seshia, Sanjit A.
author_facet Incer, Inigo
Benveniste, Albert
Murray, Richard M.
Sangiovanni-Vincentelli, Alberto
Seshia, Sanjit A.
contents Deriving system-level specifications from component specifications usually involves the elimination of variables that are not part of the interface of the top-level system. This paper presents algorithms for eliminating variables from formulas by computing refinements or relaxations of these formulas in a context. We discuss a connection between this problem and optimization and give efficient algorithms to compute refinements and relaxations of linear inequality constraints.
format Preprint
id arxiv_https___arxiv_org_abs_2305_17596
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Context-Aided Variable Elimination for Requirement Engineering
Incer, Inigo
Benveniste, Albert
Murray, Richard M.
Sangiovanni-Vincentelli, Alberto
Seshia, Sanjit A.
Logic in Computer Science
Systems and Control
Deriving system-level specifications from component specifications usually involves the elimination of variables that are not part of the interface of the top-level system. This paper presents algorithms for eliminating variables from formulas by computing refinements or relaxations of these formulas in a context. We discuss a connection between this problem and optimization and give efficient algorithms to compute refinements and relaxations of linear inequality constraints.
title Context-Aided Variable Elimination for Requirement Engineering
topic Logic in Computer Science
Systems and Control
url https://arxiv.org/abs/2305.17596