skip to main content
10.1145/2347583.2347600acmotherconferencesArticle/Chapter ViewAbstractPublication PagesuccsConference Proceedingsconference-collections
short-paper

The AdaptiV approach to verification of adaptive systems

Published: 27 June 2012 Publication History

Abstract

Adaptive systems are critical for future space and other unmanned and intelligent systems. Verification of these systems is also critical for their use in systems with potential harm to human life or with large financial investments. Due to their nondeterministic nature and extremely large state space, current methods for verification of software systems are not adequate to provide a high level of assurance. The combination of stabilization science, high performance computing simulations, compositional verification and traditional verification techniques, plus operational monitors, provides a complete approach to verification and deployment of adaptive systems that has not been used before. This paper gives an overview of this approach.

References

[1]
NASA, Space Technology Roadmaps, Office of the Chief Technologist, October 2011, http://www.nasa.gov/offices/oct/home/roadmaps/index.html
[2]
NASA, Space Technology Grand Challenges, Office of the Chief Technologist, October 2011, http://www.nasa.gov/offices/oct/strategic_integration/grand_ challenges_detail.html
[3]
Taylor, B. J., Darrah, M. A., Pullum, L. L., et al., Methods and Procedures for the Verification and Validation of Neural Networks, Brian Taylor, ed., Springer-Verlag, 2005.
[4]
Pullum, L., Taylor, B., and Darrah, M. Guidance for the Verification and Validation of Neural Networks, IEEE Computer Society Press (Wiley), 2007.
[5]
Pullum, L. L., Darrah, M. A., and Taylor, B. J. Independent Verification and Validation of Neural Networks -Developing Practitioner Assistance, Software Tech News, July, 2004.
[6]
Yerramalla, S., Fuller, E., Mladenovski, M., Cukic, B. Lyapunov Analysis of Neural Network Stability in an Adaptive Flight Control System. Self-Stabilizing Systems 2003: 77--91.
[7]
Phattanasri, P., Loparo, K. A., Soares, F. Verification and Validation of Complex Adaptive Systems. EECS Department, Case Western Reserve Univ., Contek Research, Inc., April 2005.
[8]
Emadi, A. and Ehsani, M., Aircraft Power Systems: Technology, State of the Art, and Future Trends, Aerospace and Electronic Systems Magazine, IEEE, Volume 15, Issue 1, Jan. 2000, pp. 28--32.
[9]
Roever, W.-P. de, Boer, F. de, Hanneman, U., Hooman, J., Lakhnech, Y., Poel, M., and Zwiers, J., Concurrency Verification: Introduction to Compositional and Non-compositional Methods, Cambridge University Press, 2001.
[10]
Baier, C. and Katoen, J.-P., Principles of Model Checking, MIT Press, 2008.

Cited By

View all
  • (2021)A Case Study of Run-Time Testing of Self Organizations in Multi-Embedded-Agent Systems2021 29th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)10.1109/PDP52278.2021.00018(62-66)Online publication date: Mar-2021
  • (2020)Formal approach to model complex adaptive computing systemsComplex Adaptive Systems Modeling10.1186/s40294-020-0069-78:1Online publication date: 12-Feb-2020
  • (2019)Toward Testing Self-organizations in Multi-Embedded-Agent SystemsSoftware Engineering for Resilient Systems10.1007/978-3-030-30856-8_7(97-108)Online publication date: 10-Sep-2019
  • Show More Cited By

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
C3S2E '12: Proceedings of the Fifth International C* Conference on Computer Science and Software Engineering
June 2012
139 pages
ISBN:9781450310840
DOI:10.1145/2347583
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

  • University of Limerick: University of Limerick
  • BytePress
  • Concordia University: Concordia University

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 June 2012

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. adaptive systems
  2. compositional verification
  3. high performance computing simulation
  4. verification

Qualifiers

  • Short-paper

Funding Sources

Conference

C3S2E '12
Sponsor:
  • University of Limerick
  • Concordia University

Acceptance Rates

Overall Acceptance Rate 12 of 42 submissions, 29%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)1
  • Downloads (Last 6 weeks)0
Reflects downloads up to 07 Mar 2025

Other Metrics

Citations

Cited By

View all
  • (2021)A Case Study of Run-Time Testing of Self Organizations in Multi-Embedded-Agent Systems2021 29th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)10.1109/PDP52278.2021.00018(62-66)Online publication date: Mar-2021
  • (2020)Formal approach to model complex adaptive computing systemsComplex Adaptive Systems Modeling10.1186/s40294-020-0069-78:1Online publication date: 12-Feb-2020
  • (2019)Toward Testing Self-organizations in Multi-Embedded-Agent SystemsSoftware Engineering for Resilient Systems10.1007/978-3-030-30856-8_7(97-108)Online publication date: 10-Sep-2019
  • (2018)Fundamental requirements and DEVS approach for modeling and simulation of complex adaptive system of systemsProceedings of the Symposium on Modeling and Simulation of Complexity in Intelligent, Adaptive and Autonomous Systems10.5555/3213227.3213231(1-12)Online publication date: 15-Apr-2018
  • (2017)Simulation-Based Complex Adaptive SystemsGuide to Simulation-Based Disciplines10.1007/978-3-319-61264-5_6(127-150)Online publication date: 28-Jul-2017
  • (2016)BROMETH: Methodology to design safe reconfigurable medical robotic systemsThe International Journal of Medical Robotics and Computer Assisted Surgery10.1002/rcs.178613:3Online publication date: 14-Nov-2016
  • (2014)Towards Run-Time Verification of Adaptive Security for IoT in eHealthProceedings of the 2014 European Conference on Software Architecture Workshops10.1145/2642803.2642807(1-8)Online publication date: 25-Aug-2014

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media