Skip to main content

An Abstract Domain to Discover Interval Linear Equalities

  • Conference paper
Book cover Verification, Model Checking, and Abstract Interpretation (VMCAI 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5944))

Abstract

We introduce a new abstract domain, namely the domain of Interval Linear Equalities (itvLinEqs), which generalizes the affine equality domain with interval coefficients by leveraging results from interval linear algebra. The representation of itvLinEqs is based on a row echelon system of interval linear equalities, which natively allows expressing classical linear relations as well as certain topologically non-convex (even unconnected or non-closed) properties. The row echelon form limits the expressiveness of the domain but yields polynomial-time domain operations. Interval coefficients enable a sound adaptation of itvLinEqs to floating-point arithmetic. itvLinEqs can be used to infer and propagate interval linear constraints, especially for programs involving uncertain or inexact data. The preliminary experimental results are encouraging: itvLinEqs can find a larger range of invariants than the affine equality domain. Moreover, itvLinEqs provides an efficient alternative to polyhedra-like domains.

This work is supported by the INRIA project “Abstraction” common to CNRS and ENS in France, and by the National Natural Science Foundation of China under Grant No.60725206.

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. Blanchet, B., Cousot, P., Cousot, R., Feret, J., Mauborgne, L., Miné, A., Monniaux, D., Rival, X.: A static analyzer for large safety-critical software. In: ACM PLDI 2003, pp. 196–207. ACM Press, New York (2003)

    Chapter  Google Scholar 

  2. Chen, L., Miné, A., Cousot, P.: A sound floating-point polyhedra abstract domain. In: Ramalingam, G. (ed.) APLAS 2008. LNCS, vol. 5356, pp. 3–18. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  3. Chen, L., Miné, A., Wang, J., Cousot, P.: Interval polyhedra: An abstract domain to infer interval linear relationships. In: Palsberg, J., Su, Z. (eds.) SAS 2009. LNCS, vol. 5673, pp. 309–325. Springer, Heidelberg (2009)

    Google Scholar 

  4. Cousot, P., Cousot, R.: Static determination of dynamic properties of programs. In: Proc. of the 2nd International Symposium on Programming, Dunod, Paris, pp. 106–130 (1976)

    Google Scholar 

  5. Cousot, P., Cousot, R.: Abstract interpretation: a unified lattice model for static analysis of programs by construction or approximation of fixpoints. In: ACM POPL 1977, pp. 238–252. ACM Press, New York (1977)

    Google Scholar 

  6. Cousot, P., Halbwachs, N.: Automatic discovery of linear restraints among variables of a program. In: ACM POPL 1978, pp. 84–96. ACM Press, New York (1978)

    Google Scholar 

  7. Feret, J.: Occurrence counting analysis for the pi-calculus. In: GETCO 2000. Electr. Notes Theor. Comput. Sci., vol. 39(2), pp. 1–18. Elsevier, Amsterdam (2001)

    Google Scholar 

  8. Gaubert, S., Goubault, E., Taly, A., Zennou, S.: Static analysis by policy iteration on relational domains. In: De Nicola, R. (ed.) ESOP 2007. LNCS, vol. 4421, pp. 237–252. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  9. Granger, P.: Static analysis of linear congruence equalities among variables of a program. In: Abramsky, S. (ed.) TAPSOFT 1991. LNCS, vol. 493, pp. 169–192. Springer, Heidelberg (1991)

    Google Scholar 

  10. Gulwani, S., Necula, G.: Discovering affine equalities using random interpretation. In: ACM POPL 2003, pp. 74–84. ACM Press, New York (2003)

    Chapter  Google Scholar 

  11. Jeannet, B., Miné, A.: Apron: A library of numerical abstract domains for static analysis. In: Bouajjani, A., Maler, O. (eds.) CAV 2009. LNCS, vol. 5643, pp. 661–667. Springer, Heidelberg (2009)

    Google Scholar 

  12. Karr, M.: Affine relationships among variables of a program. Acta Inf. 6, 133–151 (1976)

    Article  MATH  MathSciNet  Google Scholar 

  13. Lalire, G., Argoud, M., Jeannet, B.: Interproc, http://pop-art.inrialpes.fr/people/bjeannet/bjeannet-forge/interproc/

  14. Laviron, V., Logozzo, F.: Subpolyhedra: A (more) scalable approach to infer linear inequalities. In: Jones, N.D., Müller-Olm, M. (eds.) VMCAI 2009. LNCS, vol. 5403, pp. 229–244. Springer, Heidelberg (2009)

    Google Scholar 

  15. Miné, A.: The octagon abstract domain. Higher-Order and Symbolic Computation 19(1), 31–100 (2006)

    Article  MATH  Google Scholar 

  16. Miné, A.: Symbolic methods to enhance the precision of numerical abstract domains. In: Emerson, E.A., Namjoshi, K.S. (eds.) VMCAI 2006. LNCS, vol. 3855, pp. 348–363. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  17. Müller-Olm, M., Seidl, H.: A note on Karr’s algorithm. In: Díaz, J., Karhumäki, J., Lepistö, A., Sannella, D. (eds.) ICALP 2004. LNCS, vol. 3142, pp. 1016–1028. Springer, Heidelberg (2004)

    Google Scholar 

  18. Müller-Olm, M., Seidl, H.: Precise interprocedural analysis through linear algebra. In: ACM POPL 2004, pp. 330–341. ACM Press, New York (2004)

    Chapter  Google Scholar 

  19. Rohn, J.: Solvability of systems of interval linear equations and inequalities. In: Linear Optimization Problems with Inexact Data, pp. 35–77. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  20. Sankaranarayanan, S., Sipma, H., Manna, Z.: Scalable analysis of linear systems using mathematical programming. In: Cousot, R. (ed.) VMCAI 2005. LNCS, vol. 3385, pp. 25–41. Springer, Heidelberg (2005)

    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 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Chen, L., Miné, A., Wang, J., Cousot, P. (2010). An Abstract Domain to Discover Interval Linear Equalities. In: Barthe, G., Hermenegildo, M. (eds) Verification, Model Checking, and Abstract Interpretation. VMCAI 2010. Lecture Notes in Computer Science, vol 5944. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11319-2_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-11319-2_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-11318-5

  • Online ISBN: 978-3-642-11319-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics