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Probabilistic Abstract Interpretation and Statistical Testing

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Process Algebra and Probabilistic Methods: Performance Modeling and Verification (PAPM-PROBMIV 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2399))

Abstract

Although generally too weak to guarantee correctness, software testing is an indispensable technique for the validation of software systems. It can be used for example to assess how good software is, to find faults and thus improve the software, or for measuring the quality and reliability of reactive systems.

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References

  1. P. Cousot and R. Cousot. Abstract Interpretation: A unified lattice model for static analysis of programs by construction or approximation of fixpoints. In Proceedings of POPL’ 77, pages 238–252, Los Angeles, 1977.

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  4. A. Di Pierro and H. Wiklicky. Measuring the precision of abstract interpretations. In Proceedings of LOPSTR 2000, volume 2042 of Lecture Notes in Computer Science, pages 147–164, Berlin-New York, 2001. Springer Verlag.

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  5. D. Monniaux. An abstract Monte-Carlo method for the analysis of probabilistic programs. In Proceedings of POPL 2001, pages 93–101, London, 2001.

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Author information

Authors and Affiliations

  1. Dipartimento di Informatica, Universitá di Pisa, Italy

    Alessandra Di Pierro

  2. Department of Computing, Imperial College, London, UK

    Herbert Wiklicky

Authors
  1. Alessandra Di Pierro
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  2. Herbert Wiklicky
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Editor information

Editors and Affiliations

  1. Faculty of Computer Science Formal Methods and Tools Group, University of Twente, P.O. Box 217, 7500 AE, Enschede, The Netherlands

    Holger Hermanns

  2. Department of Computer Science, University of Verona, Strada Le Grazie 15, 37134, Verona, Italy

    Roberto Segala

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© 2002 Springer-Verlag Berlin Heidelberg

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Di Pierro, A., Wiklicky, H. (2002). Probabilistic Abstract Interpretation and Statistical Testing. In: Hermanns, H., Segala, R. (eds) Process Algebra and Probabilistic Methods: Performance Modeling and Verification. PAPM-PROBMIV 2002. Lecture Notes in Computer Science, vol 2399. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45605-8_15

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  • DOI: https://doi.org/10.1007/3-540-45605-8_15

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43913-4

  • Online ISBN: 978-3-540-45605-6

  • eBook Packages: Springer Book Archive

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