Program verification using symbolic game semantics
- Aleksandar Dimovski
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-reviewOpen access
Publication Information
Output type
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-reviewOriginal language
EnglishArticle number
560Pages from-to (Number of pages)
Pages 364 (379 pages)Journal (Volume, Issue Number)
Theoretical Computer Science (Volume 560, Issue 3)Publication milestones
- Published - 16/01/2014
Publication status
Published - 16/01/2014
ISSN
0304-3975Publication IDs
- Scopus: 84927964455
Abstract
We introduce a new symbolic representation of algorithmic game semantics, and show how it can be applied for efficient verification of open (incomplete) programs. The focus is on an Algol-like programming language which contains the core ingredients of imperative and functional languages, especially on its second-order recursion-free fragment with infinite data types. We revisit the regular-language representation of game semantics of this language fragment.
By using symbolic values instead of concrete ones, we generalize the standard notions of regular-language and automata representations of game semantics to that of corresponding symbolic representations. In this way programs with infinite data types, such as integers, can be expressed as finite-state symbolic-automata although the standard automata representation is infinite-state, i.e. the standard regular-language representation has infinite summations. Moreover, in this way significant reductions of the state space of game semantics models are obtained. This enables efficient verification of programs by our prototype tool based on symbolic game models, which is illustrated with several examples.
By using symbolic values instead of concrete ones, we generalize the standard notions of regular-language and automata representations of game semantics to that of corresponding symbolic representations. In this way programs with infinite data types, such as integers, can be expressed as finite-state symbolic-automata although the standard automata representation is infinite-state, i.e. the standard regular-language representation has infinite summations. Moreover, in this way significant reductions of the state space of game semantics models are obtained. This enables efficient verification of programs by our prototype tool based on symbolic game models, which is illustrated with several examples.
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Accepted author manuscript, 281.75 KB
