Correctness Debugging of Message Passing Programs Using Model Verification Techniques

  • Robert Lovas
  • Peter Kacsuk
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4757)

Abstract

During the correctness debugging of non-deterministic message-passing programs the software engineers must face the probe effect, the irreproducibility, the completeness problem, and also the large state-space to be discovered. This work attempts to over-come the limitation of existing debugging solutions, and combines the traditional debugging methods with automated modeling and formal verification of parallel programs. The presented debugging framework provides user-friendly facilities for active control and highly automated observation mechanism for message passing programs based on formal methods; Petri-net modeling, partial ordering of state space, and temporal logic assertions.

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References

  1. 1.
    Kacsuk, P., et al.: GRADE: A Graphical Programming Environment for Multicomputers. Computer and Artificial Intelligence. 17(5), 417–427 (1998)MATHGoogle Scholar
  2. 2.
    Kacsuk, P.: Systematic Macrostep Debugging of Message Passing Parallel Programs. Future Generation Computer Systems 16(6), 609–624 (2000)CrossRefGoogle Scholar
  3. 3.
    Tsiatsoulis, Z., Dozsa, G., Cotronis, Y., Kacsuk, P.: Associating Composition of Petri Net Specifications with Application Designs in Grade. In: Proc. of the Seventh Euromicro Workshop on Parallel and Distributed Processing, Funchal, Portugal, pp. 204–211 (1999)Google Scholar
  4. 4.
    Lovas, R., Vécsei, B.: Integration of formal verification and debugging methods in P-GRADE environment. In: Distributed and Parallel Systems: Cluster and Grid Computing. Kluwer International Series in Engineering and Computer Science, vol. 777, pp. 83–92 (2004)Google Scholar
  5. 5.
    Valmari, A.: A stubborn attack on state explosion. In: Clarke, E., Kurshan, R.P. (eds.) CAV 1990. LNCS, vol. 531, pp. 156–165. Springer, Heidelberg (1991)CrossRefGoogle Scholar
  6. 6.
    Peled, D., Clarke, E.M., Grumberg, O., Minea, M., Peled, D.: State space reduction using partial order techniques. Software Tools for Technology Transfer 3(1), 279–287 (1999)Google Scholar
  7. 7.
    Kranzlmüller, D., Volkert, J.: NOPE: A Nondeterministic Program Evaluator. In: Zinterhof, P., Vajtersic, M., Uhl, A. (eds.) ACPC 1999 and ParNum 1999. LNCS, vol. 1557, pp. 490–499. Springer, Heidelberg (1999)CrossRefGoogle Scholar
  8. 8.
    Kranzlmüller, D., Rimnac, A.: Parallel Program Debugging with MAD - A Practical Approach. In: International Conference on Computational Science 2003, pp. 201–212 (2003)Google Scholar
  9. 9.
    Krawczyk, H., et al.: STEPS - a Tool for Structural Testing of Parallel Software. In the book: Parallel Program Development for Cluster Computing: Methodology. In: Tools and Integrated Environments, ch. 16, pp. 334–354. Nova Science Publishers, New York (2001)Google Scholar
  10. 10.
    Cunha, J.C., et al.: The DDBG Distributed Debugger. In the book: Parallel Program Development for Cluster Computing: Methodology. In: Tools and Integrated Environments, ch. 13, pp. 292–303. Nova Science Publishers, New York (2001)Google Scholar
  11. 11.
    Kovacs, J., et al.: Integrating Temporal Assertions into a Parallel Debugger. In: Monien, B., Feldmann, R.L. (eds.) Euro-Par 2002. LNCS, vol. 2400, pp. 113–120. Springer, Heidelberg (2002)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Robert Lovas
    • 1
  • Peter Kacsuk
    • 1
  1. 1.MTA SZTAKI, Laboratory of Parallel and Distributed Systems, H-1518 Budapest, P.O. Box 63Hungary

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