Uncover: Using Coverability Analysis for Verifying Graph Transformation Systems
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  • 刊名:Lecture Notes in Computer Science
  • 出版年:2015
  • 出版时间:2015
  • 年:2015
  • 卷:9151
  • 期:1
  • 页码:266-274
  • 全文大小:225 KB
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    3.AUGUR2. http://鈥媤ww.鈥媡i.鈥媔nf.鈥媢ni-due.鈥媎e/鈥媟esearch/鈥媡ools/鈥媋ugur2/鈥?/span>
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    5.Bertrand, N., Delzanno, G., K枚nig, B., Sangnier, A., St眉ckrath, J.: On the decidability status of reachability and coverability in graph transformation systems. In: Proceedings of RTA 2012, vol. 15 of LIPIcs, pp. 101鈥?16 (2012)
    6. Delzanno, G., St眉ckrath, J.: Parameterized verification of graph transformation systems with whole neighbourhood operations. In: Ouaknine, J., Potapov, I., Worrell, J. (eds.) RP 2014. LNCS, vol. 8762, pp. 72鈥?4. Springer, Heidelberg (2014)
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    13. K枚nig, B., St眉ckrath, J.: Well-structured graph transformation systems with negative application conditions. In: Ehrig, H., Engels, G., Kreowski, H.-J., Rozenberg, G. (eds.) ICGT 2012. LNCS, vol. 7562, pp. 81鈥?5. Springer, Heidelberg (2012) View Article
    14. K枚nig, B., St眉ckrath, J.: A general framework for well-structured graph transformation systems. In: Baldan, P., Gorla, D. (eds.) CONCUR 2014. LNCS, vol. 8704, pp. 467鈥?81. Springer, Heidelberg (2014)
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    19.St眉ckrath, J.: UNCOVER. http://鈥媤ww.鈥媡i.鈥媔nf.鈥媢ni-due.鈥媎e/鈥媟esearch/鈥媡ools/鈥媢ncover/鈥?/span>
  • 作者单位:Jan St眉ckrath (15)

    15. Universit盲t聽Duisburg-Essen, Essen, Germany
  • 丛书名:Graph Transformation
  • ISBN:978-3-319-21145-9
  • 刊物类别:Computer Science
  • 刊物主题:Artificial Intelligence and Robotics
    Computer Communication Networks
    Software Engineering
    Data Encryption
    Database Management
    Computation by Abstract Devices
    Algorithm Analysis and Problem Complexity
  • 出版者:Springer Berlin / Heidelberg
  • ISSN:1611-3349
文摘
Uncover is a tool for high level verification of distributed or concurrent systems. It uses graphs and graph transformation rules to model these systems in a natural way. Errors in such a system are modelled by upward-closed sets for which two orders are provided, the subgraph and the minor ordering. We can then exploit the theory of well-structured transition systems to obtain exact or approximating decidability results (depending on the order and system) for the question whether an error can occur or not. For this framework we also introduced an extension of classical graph transformation which is capable of modelling broadcast protocols.

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