Skip to main content

Vision Paper: Towards Model-Based Energy Testing

  • Conference paper
Model Driven Engineering Languages and Systems (MODELS 2011)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 6981))

Abstract

Today, energy consumption is one of the major challenges for optimisation of future software applications and ICT infrastructures. To develop software w.r.t. its energy consumption, testing is an essential activity, since testing allows quality assurance and thus, energy consumption reduction during the software’s development. Although first approaches measuring and predicting software’s energy consumption for its execution on a specific hardware platform exist, no model-based testing approach has been developed, yet. In this paper we present our vision of a model-based energy testing approach that uses a combination of abstract interpretation and run-time profiling to predict the energy consumption of software applications and to derive energy consumption test cases.

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. Gartner, Inc.: Gartner Estimates ICT Industry Accounts for 2 Percent of Global CO2 Emissions. Gartner Press Release (April 2007)

    Google Scholar 

  2. The Climate Group: SMART 2020: Enabling the low carbon economy in the information age. Report on behalf of the Global eSustainability Initiative (GeSI) (2008)

    Google Scholar 

  3. Intel Corporation, Microsoft Corporation: Advanced Power Management (APM) BIOS Interface Specification. Revision 1.2 (February 1996)

    Google Scholar 

  4. Hewlett-Packard, Intel, Microsoft, Phoenix Technologies, Toshiba: Advanced Configuration and Power Interface Specification, Revision 4.0a (2010)

    Google Scholar 

  5. Lachenmann, A., Marrón, P., Minder, D., Rothermel, K.: Meeting lifetime goals with energy levels. In: Proceedings of the 5th International Conference on Embedded Networked Sensor Systems, pp. 131–144. ACM, New York (2007)

    Chapter  Google Scholar 

  6. Chan, W.K., Chen, T.Y., Cheung, S.C., Tse, T.H., Zhang, Z.: Towards the Testing of Power-Aware Software Applications for Wireless Sensor Networks. In: Abdennahder, N., Kordon, F. (eds.) Ada-Europe 2007. LNCS, vol. 4498, pp. 84–99. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  7. Woehrle, M., Beutel, J., Lim, R., Yuecel, M., Thiele, L.: Power monitoring and testing in wireless sensor network development. In: Workshop on Energy in Wireless Sensor Networks (WEWSN), Citeseer (2008)

    Google Scholar 

  8. Lafond, S., Lilius, J.: An Energy Consumption Model for an Embedded Java Virtual Machine. In: Grass, W., Sick, B., Waldschmidt, K. (eds.) ARCS 2006. LNCS, vol. 3894, pp. 311–325. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  9. Seo, C., Malek, S., Medvidovic, N.: An Energy Consumption Framework for Distributed Java-Based Systems. In: Proceedings of the 22nd IEEE/ACM Intl. Conference on Automated Software Engineering, Atlanta, Georgia, USA. ACM, New York (2007)

    Google Scholar 

  10. Seo, C., Edwards, G., Malek, S., Medvidovic, N.: A Framework for Estimating the Impact of a Distributed Software System’s Architectural Style on its Energy Consumption. In: WICSA 2008: Proceedings of the Seventh Working IEEE/IFIP Conference on Software Architecture, pp. 277–280. IEEE Computer Society, Los Alamitos (2008)

    Google Scholar 

  11. Navas, J., Méndez-Lojo, M., Hermenegildo, M.: Safe Upper-bounds Inference of Energy Consumption for Java Bytecode Applications. In: Proceedings of The Sixth NASA Langley Formal Methods Workshop, pp. 29–32 (2008)

    Google Scholar 

  12. Utting, M., Pretschner, A., Legeard, B.: A Taxonomy of Model-Based Testing. Technical Report 04/2006, University of Waikato, Department of Computer Science, Hamilton, NZ (April 2006)

    Google Scholar 

  13. Roßner, T., Brandes, C., Götz, H., Winter, M.: Basiswissen Modellbasierter Test. dpunkt Verlag, Heidelberg (2010)

    Google Scholar 

  14. Süttner, P.: Abstract Behavior Description of CCM Software Components (Abstrakte Verhaltensbeschreibung von CCM Softwarekomponenten). Diploma Thesis, Technische Universität Dresden (March 2011)

    Google Scholar 

  15. Cousot, P., Cousot, R.: Abstract interpretation: a unified lattice model for static analysis of programs by construction or approximation of fixpoints. In: Proceedings of the 4th ACM SIGACT-SIGPLAN Symposium on Principles of Programming Languages, pp. 238–252. ACM, New York (1977)

    Google Scholar 

  16. Martin, F.: Generating Program Analyzers. PhD thesis, Universität des Saarlandes (1999)

    Google Scholar 

  17. Götz, S., Wilke, C., Schmidt, M., Cech, S., Aßmann, U.: Towards Energy Auto Tuning. In: Proceedings of First Annual International Conference on Green Information Technology, GREEN IT (2010)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wilke, C., Götz, S., Reimann, J., Aßmann, U. (2011). Vision Paper: Towards Model-Based Energy Testing. In: Whittle, J., Clark, T., Kühne, T. (eds) Model Driven Engineering Languages and Systems. MODELS 2011. Lecture Notes in Computer Science, vol 6981. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24485-8_35

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-24485-8_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24484-1

  • Online ISBN: 978-3-642-24485-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics