Abstract
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.
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References
McKane, T.: Enabling acquisition change - an examination of the Ministry of Defence’s ability to undertake Through Life Capability Management. Technical report (June 2006)
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)
Bagnall, A.J., Rayward-Smith, V.J., Whittley, I.M.: The Next Release Problem. Information and Software Technology 43(14), 883–890 (2001)
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)
Eclipse GMF - Graphical Modeling Framework, http://www.eclipse.org/gmf
Deb, K.: Multi-objective optimization. In: Burke, E.K., Kendall, G. (eds.) Search Methodologies, pp. 273–316. Springer, US (2005)
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)
Greer, D., Ruhe, G.: Software release planning: an evolutionary and iterative approach. Information and Software Technology 46(4), 243–253 (2004)
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)
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)
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)
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)
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)
Schmidt, D.C.: Guest editor’s introduction: Model-driven engineering. Computer 39, 25–31 (2006)
Kolovos, D.S.: An Extensible Platform for Specification of Integrated Languages for Model Management. PhD thesis, University of York (2008)
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)
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)
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)
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)
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Burton, F.R., Paige, R.F., Rose, L.M., Kolovos, D.S., Poulding, S., Smith, S. (2012). Solving Acquisition Problems Using Model-Driven Engineering. In: Vallecillo, A., Tolvanen, JP., Kindler, E., Störrle, H., Kolovos, D. (eds) Modelling Foundations and Applications. ECMFA 2012. Lecture Notes in Computer Science, vol 7349. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31491-9_32
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DOI: https://doi.org/10.1007/978-3-642-31491-9_32
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