Solving Acquisition Problems Using Model-Driven Engineering

  • Frank R. Burton
  • Richard F. Paige
  • Louis M. Rose
  • Dimitrios S. Kolovos
  • Simon Poulding
  • Simon Smith
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7349)


An acquisition problem involves the identification, procurement and management of resources that allow an organisation to achieve goals. Examples include through-life capability management (in the defense domain), and planning for the next release of a software system. The latter is representative of the challenges of acquisition, as solving the problem involves the assessment of the very many ways in which the different requirements of multiple heterogeneous customers may be satisfied. We present a novel approach to modelling acquisition problems, based on the use of Model-Driven Engineering principles and practices. The approach includes domain-specific modelling languages for acquisition problems, and uses model transformation to automatically generate potential solutions to the acquisition problem. We outline a prototype tool, built using the Epsilon model management framework. We illustrate the approach and tool on an example of the next release acquisition problem.


Customer Satisfaction Pareto Front Model Transformation Customer Requirement Scenario Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    McKane, T.: Enabling acquisition change - an examination of the Ministry of Defence’s ability to undertake Through Life Capability Management. Technical report (June 2006)Google Scholar
  2. 2.
    Zhang, Y.-Y., Finkelstein, A., Harman, M.: Search Based Requirements Optimisation: Existing Work and Challenges. In: Rolland, C. (ed.) REFSQ 2008. LNCS, vol. 5025, pp. 88–94. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  3. 3.
    Bagnall, A.J., Rayward-Smith, V.J., Whittley, I.M.: The Next Release Problem. Information and Software Technology 43(14), 883–890 (2001)CrossRefGoogle Scholar
  4. 4.
    Kolovos, D.S., Rose, L.M., Abid, S.B., Paige, R.F., Polack, F.A.C., Botterweck, G.: Taming EMF and GMF Using Model Transformation. In: Petriu, D.C., Rouquette, N., Haugen, Ø. (eds.) MODELS 2010. LNCS, vol. 6394, pp. 211–225. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  5. 5.
    Eclipse GMF - Graphical Modeling Framework,
  6. 6.
    Deb, K.: Multi-objective optimization. In: Burke, E.K., Kendall, G. (eds.) Search Methodologies, pp. 273–316. Springer, US (2005)CrossRefGoogle Scholar
  7. 7.
    Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.: A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation 6(2), 182–197 (2002)CrossRefGoogle Scholar
  8. 8.
    Greer, D., Ruhe, G.: Software release planning: an evolutionary and iterative approach. Information and Software Technology 46(4), 243–253 (2004)CrossRefGoogle Scholar
  9. 9.
    Baker, P., Harman, M., Steinhofel, K., Skaliotis, A.: Search based approaches to component selection and prioritization for the next release problem. In: 22nd IEEE International Conference on Software Maintenance, ICSM 2006, pp. 176–185 (2006)Google Scholar
  10. 10.
    Zhang, Y., Harman, M., Mansouri, S.A.: The multi-objective next release problem. In: Proceedings of the 9th Annual Conference on Genetic and Evolutionary Computation, pp. 1129–1137 (2007)Google Scholar
  11. 11.
    Durillo, J.J., Zhang, Y.Y., Alba, E., Nebro, A.J.: A study of the multi-objective next release problem. In: 1st International Symposium on Search Based Software Engineering, pp. 49–58 (2009)Google Scholar
  12. 12.
    del Sagrado, J., del Águila, I.M., Orellana, F.J.: Ant colony optimization for the next release problem: A comparative study. In: Second International Symposium on Search Based Software Engineering, pp. 67–76 (2010)Google Scholar
  13. 13.
    Durillo, J.J., Zhang, Y., Alba, E., Harman, M., Nebro, A.J.: A study of the bi-objective next release problem. In: Empirical Software Engineering, pp. 1–32 (2011)Google Scholar
  14. 14.
    Schmidt, D.C.: Guest editor’s introduction: Model-driven engineering. Computer 39, 25–31 (2006)CrossRefGoogle Scholar
  15. 15.
    Kolovos, D.S.: An Extensible Platform for Specification of Integrated Languages for Model Management. PhD thesis, University of York (2008)Google Scholar
  16. 16.
    Kolovos, D.S., Paige, R.F., Polack, F.A.C.: The Epsilon Transformation Language. In: Vallecillo, A., Gray, J., Pierantonio, A. (eds.) ICMT 2008. LNCS, vol. 5063, pp. 46–60. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  17. 17.
    Rose, L.M., Kolovos, D.S., Paige, R.F., Polack, F.A.C.: Model Migration with Epsilon Flock. In: Tratt, L., Gogolla, M. (eds.) ICMT 2010. LNCS, vol. 6142, pp. 184–198. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  18. 18.
    Lamsweerde, A.V., Dardenne, A., Delcourt, B., Dubisy, F.: The KAOS Project: Knowledge acquisition in automated specifications of software. In: Proceeding AAAI Spring Symposium Series, Track: Design of Composite Systems (1991)Google Scholar
  19. 19.
    Bézivin, J., Bouzitouna, S., Del Fabro, M., Gervais, M.P., Jouault, F., Kolovos, D., Kurtev, I., Paige, R.: A canonical scheme for model composition. In: Model Driven Architecture–Foundations and Applications, pp. 346–360 (2006)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Frank R. Burton
    • 1
    • 2
  • Richard F. Paige
    • 2
  • Louis M. Rose
    • 2
  • Dimitrios S. Kolovos
    • 2
  • Simon Poulding
    • 2
  • Simon Smith
    • 1
  1. 1.MooD InternationalUK
  2. 2.Department of Computer ScienceUniversity of YorkUK

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