Skip to main content

Abstract Interpretation for Worst and Average Case Analysis

  • Chapter
Book cover Program Analysis and Compilation, Theory and Practice

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 4444))

Abstract

We review Wilhelm’s work on WCET for hard real-time applications and also recent work on analysis of soft-real time systems using probabilistic methods. We then present Probabilistic Abstract Interpretation (PAI) as a quantitative variation of the classical approach; PAI aims to provide close approximations – this should be contrasted to the safe approximations studied in the standard setting. We discuss the relation between PAI and classical Abstract Interpretation as well as average case analysis.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Wilhelm, R.: Timing analysis and timing predictability. In: de Boer, F.S., et al. (eds.) FMCO 2004. LNCS, vol. 3657, pp. 317–323. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  2. Shaw, A.: Reasoning about time in higher-level language software. IEEE Transactions on Software Engineering 15, 875–889 (1989)

    Article  Google Scholar 

  3. Lundquist, T., Stenström, P.: Timing anomalies in dynamically scheduled microprocessors. In: 20th IEEE Real-Time Systems Symposium (1999)

    Google Scholar 

  4. Balbo, G.: Introduction to stochastic Petri nets. In: Brinksma, E., Hermanns, H., Katoen, J.-P. (eds.) EEF School 2000 and FMPA 2000. LNCS, vol. 2090, pp. 84–155. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  5. Bause, F., Kritzinger, P.S.: Stochastic Petri Nets – An Introduction to the Theory, 2nd edn. Vieweg Verlag, Wiesbaden (2002)

    MATH  Google Scholar 

  6. Plateau, B., Atif, K.: Stochastic automata network of modeling parallel systems. IEEE Transactions on Software Engineering 17, 1093–1108 (1991)

    Article  MathSciNet  Google Scholar 

  7. Norman, G., et al.: Formal analysis and validation of continuous time Markov chain based system level power management strategies. In: Rosenstiel, W. (ed.) Proc. 7th Annual IEEE International Workshop on High Level Design Validation and Test (HLDVT’02), pp. 45–50. IEEE Computer Society Press, Los Alamitos (2002)

    Chapter  Google Scholar 

  8. Di Pierro, A., Wiklicky, H.: Concurrent Constraint Programming: Towards Probabilistic Abstract Interpretation. In: Gabbrielli, M., Pfenning, F. (eds.) Proceedings of PPDP’00 – Priciples and Practice of Declarative Programming, Montréal, Canada, ACM SIGPLAN, pp. 127–138. Association of Computing Machinery (2000)

    Google Scholar 

  9. Cousot, P., Cousot, R.: Abstract Interpretation and Applications to Logic Programs. Journal of Logic Programming 13, 103–180 (1992)

    Article  MATH  MathSciNet  Google Scholar 

  10. Abramsky, S., Hankin, C. (eds.): Abstract Interpretation of Declarative Languages. Ellis-Horwood, Chichester (1987)

    Google Scholar 

  11. Nielson, F., Nielson, H.R., Hankin, C.: Principles of Program Analysis. Springer, Heidelberg (1999)

    MATH  Google Scholar 

  12. Di Pierro, A., Wiklicky, H.: Measuring the precision of abstract interpretations. In: Lau, K.-K. (ed.) LOPSTR 2000. LNCS, vol. 2042, pp. 147–164. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  13. Monniaux, D.: Abstract interpretation of probabilistic semantics. In: Palsberg, J. (ed.) SAS 2000. LNCS, vol. 1824, Springer, Heidelberg (2000)

    Google Scholar 

  14. Monniaux, D.: Abstract interpretation of probabilistic semantics. In: Palsberg, J. (ed.) SAS 2000. LNCS, vol. 1824, pp. 322–339. Springer, Heidelberg (2000)

    Google Scholar 

  15. Eaton, J.: Gnu Octave Manual (2002), http://www.octave.org

  16. Cousot, P., Cousot, R.: Systematic Design of Program Analysis Frameworks. In: Symposium on Principles of Programming Languages (POPL), San Antonio, Texas, pp. 269–282 (1979)

    Google Scholar 

  17. Deutsch, F.: Bet Approximation in Inner Product Spaces. CMS Books in Mathematics, vol. 7. Springer, New York (2001)

    Google Scholar 

  18. Ben-Israel, A., Greville, T.: Generalised Inverses — Theory and Applications, 2nd edn. CMS Books in Mathematics, vol. 15. Springer, New York (2003)

    Google Scholar 

  19. Di Pierro, A., Hankin, C., Wiklicky, H.: Probabilistic chemical abstract machine and the expressiveness of linda languages. In: de Boer, F.S., et al. (eds.) FMCO 2005. LNCS, vol. 4111, pp. 388–407. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  20. Di Pierro, A., Hankin, C., Wiklicky, H.: Quantitative static analysis of distributed systems. Journal of Functional Programming 15, 1–47 (2005)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Thomas Reps Mooly Sagiv Jörg Bauer

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer Berlin Heidelberg

About this chapter

Cite this chapter

Di Pierro, A., Hankin, C., Wiklicky, H. (2007). Abstract Interpretation for Worst and Average Case Analysis. In: Reps, T., Sagiv, M., Bauer, J. (eds) Program Analysis and Compilation, Theory and Practice. Lecture Notes in Computer Science, vol 4444. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71322-7_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-71322-7_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-71315-9

  • Online ISBN: 978-3-540-71322-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics