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Requirements Tracing to Support Change in Dynamically Adaptive Systems

  • Kristopher Welsh
  • Pete Sawyer
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5512)

Abstract

[Context and motivation] All systems are susceptible to the need for change, with the desire to operate in changeable environments driving the need for software adaptation. A Dynamically Adaptive System (DAS) adjusts its behaviour autonomously at runtime in order to accommodate changes in its operating environment, which are anticipated in the system’s requirements specification. [Question/Problem] In this paper, we argue that Dynamic Adaptive Systems’ requirements specifications are more susceptible to change than those of traditional static systems. We propose an extension to i* strategic rationale models to aid in changing a DAS. [Principal Ideas/Results] By selecting some of the types of tracing proposed for the most complex systems and supporting them for DAS modelling, it becomes possible to handle change to a DAS’ requirements efficiently, whilst still allowing artefacts to be stored in a Requirements Management tool to mitigate additional complexity. [Contribution] The paper identifies different classes of change that a DAS’ requirements may be subjected to, and illustrates with a case study how additional tracing information can support the making of each class of change.

Keywords

Adaptive Systems Requirements Evolution Traceability 

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References

  1. 1.
    Gotel, O., Finkelstein, A.: An analysis of the requirements traceability problem. In: Proceedings of the International Conference on Requirements Engineering, Colorado Springs (1994)Google Scholar
  2. 2.
    Welsh, K., Sawyer, P.: When to Adapt? Identification of Problem Domains for Adaptive Systems. In: Paech, B., Rolland, C. (eds.) REFSQ 2008. LNCS, vol. 5025, pp. 198–203. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  3. 3.
    Goldsby, J., Sawyer, P., Bencomo, N., Cheng, B., Hughes, D.: Goal-Based Modelling of Dynamically Adaptive System Requirements. In: Proceedings of 15th IEEE International Conference on Engineering of Computer-Based Systems, Belfast, Northern Ireland (2008)Google Scholar
  4. 4.
    Fickas, S., Feather, S.: Requirements Monitoring in Dynamic Environments. In: Proceedings of the Second IEEE International Symposium on Requirements Engineering, York, England (1995)Google Scholar
  5. 5.
    Savor, T., Seviora, R.: An approach to automatic detection of software failures in realtime systems. In: IEEE Real- Time Tech. and Appl. Sym., pp. 136–147 (1997)Google Scholar
  6. 6.
    Feather, M., Fickas, S., van Lamsweerde, A., Ponsard, C.: Reconciling system requirements and runtime behavior. In: Proceedings of the 9th International Workshop on Software Specification and Design (1998)Google Scholar
  7. 7.
    Robinson, W.: A requirements monitoring framework for enterprise systems. Requirements Engineering 11(1), 17–41 (2006)CrossRefGoogle Scholar
  8. 8.
    Yu, Y., Leite, J., Mylopoulos, J.: From goals to aspects: Discovering aspects from requirements goal models. In: Proceedings of the 12th IEEE International Conference on Requirements Engineering (2004)Google Scholar
  9. 9.
    Lapouchnian, A., Liaskos, S., Mylopoulos, J., Yu, Y.: Towards requirements-driven autonomic systems design. In: Proceedings of 2005 Workshop on Design and Evolution of Autonomic Application Software, St. Louis, Missouri, USA (2005)Google Scholar
  10. 10.
    Yu, Y., Mylopoulos, J., Lapouchnian, A., Liaskos, S., Leite, J.: From stakeholder goals to high-variability software design. Technical report csrg-509, University of Toronto (2005)Google Scholar
  11. 11.
    Dardenne, A., van Lamsweerde, A., Fickas, S.: Goal-directed requirements acquisition. Sci. Comput. Program. 20, 3–50 (1993)CrossRefzbMATHGoogle Scholar
  12. 12.
    Yu, E.: Towards modelling and reasoning support for early-phase requirements engineering. Requirements Engineering. In: Proceedings of the Third IEEE International Symposium on Requirements Engineering (1997)Google Scholar
  13. 13.
    Berry, D., Cheng, B., Zhang, J.: The four levels of requirements engineering for and in dynamic adaptive systems. In: Proceedings of the 11th International Workshop on Requirements Engineering: Foundation for Software Quality (2005)Google Scholar
  14. 14.
    Coulson, G., Grace, P., Blair, G., Cai, W., Cooper, C., Duce, D., Mathy, L., Yeung, W., Porter, B., Sagar, M., Li, W.: A component-based middleware framework for configurable and reconfigurable Grid computing: Research Articles. Concurr. Comput. Pract. Exper. 18(8), 865–874 (2006)CrossRefGoogle Scholar
  15. 15.
    Ramesh, B., Jarke, M.: Toward reference models for requirements traceability. IEEE Transactions on Software Engineering 27(1), 58–93 (2001)CrossRefGoogle Scholar
  16. 16.
    Sawyer, P., Bencomo, N., Hughes, D., Grace, P., Goldsby, H.J., Cheng, B.H.: Visualizing the Analysis of Dynamically Adaptive Systems Using i* and DSLs. In: Proceedings of the Second international Workshop on Requirements Engineering Visualization (2007)Google Scholar
  17. 17.
    Chung, L., Nixon, B., Yu, E., Mylopoulos, J.: Non-functional requirements in software engineering. Kluwer Academic Publishers, Dordrecht (2000)CrossRefzbMATHGoogle Scholar
  18. 18.
    Quality Systems & Software Ltd., Oxford Science Park, Oxford, U.K., DOORS Reference Manual (V3. 0) (1996) Google Scholar
  19. 19.
    Hughes, D., Greenwood, P., Coulson, G., Blair, G.: GridStix: supporting flood prediction using embedded hardware and next generation grid middleware. World of Wireless, Mobile and Multimedia Networks (2006)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Kristopher Welsh
    • 1
  • Pete Sawyer
    • 1
  1. 1.Computing Dept., Infolab21Lancaster UniversityLancasterUK

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