[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to main content

Characterization of Simulation by Probabilistic Testing

  • Chapter
  • First Online:
Theory and Practice of Formal Methods

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9660))

  • 895 Accesses

Abstract

Testing of systems naturally has a non-deterministic character: on the one hand, internal decisions of the system under test appear as non-determinism to an observer; on the other hand, the system under test inevitably receives inputs from the environment that are not controlled by the tester. To model both aspects, we investigate a probabilistic testing framework in which non-deterministic labelled transition systems are examined through execution of finite, probabilistic test-cases. We show that the simulation preorder on labelled transition systems can be tested probabilistically, elegantly recapturing the notion of conformance testing in this setting.

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

Access this chapter

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
GBP 19.95
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
GBP 35.99
Price includes VAT (United Kingdom)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
GBP 44.99
Price includes VAT (United Kingdom)
  • 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

Similar content being viewed by others

References

  1. Abramsky, S.: Observation equivalence as a testing equivalence. Theor. Comput. Sci. 53, 225–241 (1987)

    Article  MathSciNet  MATH  Google Scholar 

  2. Jonsson, B., Yi, W.: Testing preorders for probabilistic processes can be characterized by simulations. Theor. Comput. Sci. 282(1), 33–51 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  3. Legay, A., Delahaye, B., Bensalem, S.: Statistical model checking: an overview. In: Barringer, H., Falcone, Y., Finkbeiner, B., Havelund, K., Lee, I., Pace, G., Roşu, G., Sokolsky, O., Tillmann, N. (eds.) RV 2010. LNCS, vol. 6418, pp. 122–135. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  4. Milner, R.: Communication and Concurrency. Prentice-Hall Inc., Upper Saddle River (1989)

    MATH  Google Scholar 

  5. Yi, W., Larsen, K.G.: Testing probabilistic and nondeterministic processes. In: Proceedings of the IFIP TC6/WG6.1 Twelth International Symposium on Protocol Specification, Testing and Verification XII, pp. 47–61. North-Holland Publishing Co., Amsterdam (1992)

    Google Scholar 

  6. Younes, H.L.S., Simmons, R.G.: Statistical probabilistic model checking with a focus on time-bounded properties. Inf. Comput. 204(9), 1368–1409 (2006)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Philipp Rümmer .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Rümmer, P., Yi, W. (2016). Characterization of Simulation by Probabilistic Testing. In: Ábrahám, E., Bonsangue, M., Johnsen, E. (eds) Theory and Practice of Formal Methods. Lecture Notes in Computer Science(), vol 9660. Springer, Cham. https://doi.org/10.1007/978-3-319-30734-3_24

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-30734-3_24

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-30733-6

  • Online ISBN: 978-3-319-30734-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics