Faculty of Information Technology, BUT

Publication Details

Fully Automated Shape Analysis Based on Forest Automata

HOLÍK Lukáš, LENGÁL Ondřej, ROGALEWICZ Adam, ŠIMÁČEK Jiří and VOJNAR Tomáš. Fully Automated Shape Analysis Based on Forest Automata. FIT-TR-2013-01, Brno: Faculty of Information Technology BUT, 2013.
Czech title
Plně automatizovaná analýza haldy programů založená na lesních automatech
Type
technical report
Language
english
Authors
URL
Keywords
forest automata, shape analysis, dynamic linked data structures, tree automata, abstraction
Abstract
Forest automata (FA) have recently been proposed as a tool for shape analysis of complex heap structures. FA encode sets of tree decompositions of heap graphs in the form of tuples of tree automata. In order to allow for representing complex heap graphs, the notion of FA allowed one to provide user-defined FA (called boxes) that encode repetitive graph patterns of shape graphs to be used as alphabet symbols of other, higher-level FA. In this paper, we propose a novel technique of automatically learning the FA to be used as boxes that avoids the need of providing them manually. Further, we propose a significant improvement of the automata abstraction used in the analysis. The result is an efficient, fully-automated analysis that can handle even as complex data structures as skip lists, with the performance comparable to state-of-the-art fully-automated tools based on separation logic, which, however, specialise in dealing with linked lists only.
Published
2013
Pages
25
Publisher
Faculty of Information Technology BUT
Place
FIT-TR-2013-01, Brno, CZ
BibTeX
@TECHREPORT{FITPUB10404,
   author = "Luk\'{a}\v{s} Hol\'{i}k and Ond\v{r}ej Leng\'{a}l and Adam Rogalewicz and Ji\v{r}\'{i} \v{S}im\'{a}\v{c}ek and Tom\'{a}\v{s} Vojnar",
   title = "Fully Automated Shape Analysis Based on Forest Automata",
   pages = 25,
   year = 2013,
   location = "FIT-TR-2013-01, Brno, CZ",
   publisher = "Faculty of Information Technology BUT",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/10404"
}
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