Skip to main content

Widening Polyhedra with Landmarks

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 4279))

Abstract

The abstract domain of polyhedra is sufficiently expressive to be deployed in verification. One consequence of the richness of this domain is that long, possibly infinite, sequences of polyhedra can arise in the analysis of loops. Widening and narrowing have been proposed to infer a single polyhedron that summarises such a sequence of polyhedra. Motivated by precision losses encountered in verification, we explain how the classic widening/narrowing approach can be refined by an improved extrapolation strategy. The insight is to record inequalities that are thus far found to be unsatisfiable in the analysis of a loop. These so-called landmarks hint at the amount of widening necessary to reach stability. This extrapolation strategy, which refines widening with thresholds, can infer post-fixpoints that are precise enough not to require narrowing. Unlike previous techniques, our approach interacts well with other domains, is fully automatic, conceptually simple and precise on complex loops.

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

Buying options

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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bagnara, R., Hill, P., Ricci, E., Zaffanella, E.: Precise Widening Operators for Convex Polyhedra. Science of Computer Programming 58(1-2), 28–56 (2005)

    Article  MATH  MathSciNet  Google Scholar 

  2. Bagnara, R., Hill, P.M., Zaffanella, E.: Not necessarily closed convex polyhedra and the double desciption method. Formal Asp. Comput. 17(2), 222–257 (2005)

    Article  MATH  Google Scholar 

  3. Benoy, P.M.: Polyhedral Domains for Abstract Interpretation in Logic Programming. PhD thesis, Computing Lab., Univ. of Kent, Canterbury, UK (January 2002)

    Google Scholar 

  4. Besson, F., Jensen, T., Talpin, J.-P.: Polyhedral analysis for synchronous languages. In: Cortesi, A., Filé, G. (eds.) SAS 1999. LNCS, vol. 1694, pp. 51–68. Springer, Heidelberg (1999)

    Chapter  Google Scholar 

  5. Blanchet, B., Cousot, P., Cousot, R., Feret, J., Mauborgne, L., Miné, A., Monniaux, D., Rival, X.: Design and implementation of a special-purpose static program analyzer for safety-critical real-time embedded software. In: Mogensen, T.Æ., Schmidt, D.A., Sudborough, I.H. (eds.) The Essence of Computation. LNCS, vol. 2566, pp. 85–108. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  6. Bourdoncle, F.: Efficient Chaotic Iteration Strategies with Widenings. In: Pottosin, I.V., Bjorner, D., Broy, M. (eds.) FMP&TA 1993. LNCS, vol. 735, pp. 128–141. Springer, Heidelberg (1993)

    Chapter  Google Scholar 

  7. Cousot, P., Cousot, R.: Static Determination of Dynamic Properties of Programs. In: Second International Symposium on Programming, Dunod, Paris, France, pp. 106–130 (1976)

    Google Scholar 

  8. Cousot, P., Cousot, R.: Abstract Interpretation and Application to Logic Programs. Journal of Logic Programming 13(2-3), 103–179 (1992)

    Article  MATH  MathSciNet  Google Scholar 

  9. Cousot, P., Cousot, R.: Comparing the Galois Connection and Widening/Narrowing Approaches to Abstract Interpretation. In: Bruynooghe, M., Wirsing, M. (eds.) PLILP 1992. LNCS, vol. 631, pp. 269–295. Springer, Heidelberg (1992)

    Chapter  Google Scholar 

  10. Cousot, P., Halbwachs, N.: Automatic Discovery of Linear Constraints among Variables of a Program. In: Symposium on Principles of Programming Languages, Tucson, Arizona, pp. 84–97. ACM Press, New York (1978)

    Google Scholar 

  11. Dor, N., Rodeh, M., Sagiv, M.: Cleanness checking of string manipulations in C programs via integer analysis. In: Cousot, P. (ed.) SAS 2001. LNCS, vol. 2126, pp. 194–212. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  12. Gopan, D., Reps, T.: Lookahead widening. In: Ball, T., Jones, R.B. (eds.) CAV 2006. LNCS, vol. 4144, pp. 452–466. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  13. Gulavani, B.S., Rajamani, S.K.: Counterexample driven refinement for abstract interpretation. In: Hermanns, H., Palsberg, J. (eds.) TACAS 2006. LNCS, vol. 3920, pp. 474–488. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  14. Halbwachs, N.: Détermination Automatique de Relations Linéaires Vérifiées par les Variables d’un Programme. Thèse de 3ème icle d’informatique, Université scientifique et médicale de Grenoble, Grenoble, France (March 1979)

    Google Scholar 

  15. Halbwachs, N., Proy, Y.-E., Roumanoff, P.: Verification of Real-Time Systems using Linear Relation Analysis. Formal Methods in System Design 11(2), 157–185 (1997)

    Article  Google Scholar 

  16. Harvey, W.: Computing Two-Dimensional Integer Hulls. SIAM Journal on Computing 28(6), 2285–2299 (1999)

    Article  MATH  MathSciNet  Google Scholar 

  17. Heintze, N., Tardieu, O.: Ultra-fast Aliasing Analysis using CLA: A Million Lines of C Code in a Second. In: SIGPLAN Conference on Programming Language Design and Implementation, pp. 254–263 (2001)

    Google Scholar 

  18. Miné, A.: The Octagon Abstract Domain. In: Eighth Working Conference on Reverse Engineering, pp. 310–319. IEEE Computer Society Press, Los Alamitos (2001)

    Chapter  Google Scholar 

  19. Sankaranarayanan, S., Colón, M., Sipma, H.B., Manna, Z.: Efficient strongly relational polyhedral analysis. In: Emerson, E.A., Namjoshi, K.S. (eds.) VMCAI 2006. LNCS, vol. 3855, pp. 111–125. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  20. Simon, A., King, A.: Analyzing string buffers in C. In: Kirchner, H., Ringeissen, C. (eds.) AMAST 2002. LNCS, vol. 2422, pp. 365–379. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  21. Simon, A., King, A.: Exploiting sparsity in polyhedral analysis. In: Hankin, C., Siveroni, I. (eds.) SAS 2005. LNCS, vol. 3672, pp. 336–351. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  22. Simon, A., King, A., Howe, J.M.: Two Variables per Linear Inequality as an Abstract Domain. In: Leuschel, M.A. (ed.) LOPSTR 2002. LNCS, vol. 2664, pp. 71–89. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  23. Steensgaard, B.: Points-to Analysis in Almost Linear Time. In: Symposium on the Principles of Progamming Languages, pp. 32–41 (1996)

    Google Scholar 

  24. Su, Z., Wagner, D.: A Class of Polynomially Solvable Range Constraints for Interval Analysis without Widenings. Theor. Comput. Sci. 345(1), 122–138 (2005)

    Article  MATH  MathSciNet  Google Scholar 

  25. Wagner, D.: Static analysis and computer security: New techniques for software assurance. PhD thesis, University of California at Berkeley (December 2000)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Simon, A., King, A. (2006). Widening Polyhedra with Landmarks. In: Kobayashi, N. (eds) Programming Languages and Systems. APLAS 2006. Lecture Notes in Computer Science, vol 4279. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11924661_11

Download citation

  • DOI: https://doi.org/10.1007/11924661_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-48937-5

  • Online ISBN: 978-3-540-48938-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics