論文

査読有り
2016年

Generalized Homogeneous Polynomials for Efficient Template-Based Nonlinear Invariant Synthesis

STATIC ANALYSIS, (SAS 2016)
  • Kensuke Kojima
  • ,
  • Minoru Kinoshita
  • ,
  • Kohei Suenaga

9837
開始ページ
278
終了ページ
299
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1007/978-3-662-53413-7_14
出版者・発行元
SPRINGER INT PUBLISHING AG

The template-based method is one of the most successful approaches to algebraic invariant synthesis. In this method, an algorithm designates a template polynomial p over program variables, generates constraints for p = 0 to be an invariant, and solves the generated constraints. However, this approach often suffers from an increasing template size if the degree of a template polynomial is too high.
We propose a technique to make template-based methods more efficient. Our technique is based on the following finding: If an algebraic invariant exists, then there is a specific algebraic invariant that we call a generalized homogeneous algebraic invariant that is often smaller. This finding justifies using only a smaller template that corresponds to a generalized homogeneous algebraic invariant.
Concretely, we state our finding above formally based on the abstract semantics of an imperative program proposed by Cachera et al. Then, we modify their template-based invariant synthesis so that it generates only generalized homogeneous algebraic invariants. This modification is proved to be sound. Furthermore, we also empirically demonstrate the merit of the restriction to generalized homogeneous algebraic invariants. Our implementation outperforms that of Cachera et al. for programs that require a higher-degree template.

リンク情報
DOI
https://doi.org/10.1007/978-3-662-53413-7_14
J-GLOBAL
https://jglobal.jst.go.jp/detail?JGLOBAL_ID=201702205842236369
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000388924600014&DestApp=WOS_CPL
URL
http://arxiv.org/abs/1604.07201
ID情報
  • DOI : 10.1007/978-3-662-53413-7_14
  • ISSN : 0302-9743
  • J-Global ID : 201702205842236369
  • Web of Science ID : WOS:000388924600014

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