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Metrics to Measure the Change Impact in ATL Model Transformations

  • Conference paper
Product-Focused Software Process Improvement (PROFES 2014)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8892))

Abstract

The Model-Driven Development (MDD) shifts the focus on code to models in the software development process. In MDD, model transformations are elements that play important role. In the software process, MDD projects evolve as changes in their transformations are frequent. Before applying changes it is important to measure their impacts in the transformation. However, currently no technique helps practitioners in this direction. In this work, we conducted an exploratory study to identify the criteria used by practitioners to measure the impact of changes in model transformations. As a result, we propose a set of metrics to measure such impacts. By measuring the change impact, practitioners can (i) save effort and development time for estimating costs to apply changes; and (ii) better schedule and prioritize changes according to the impact.

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References

  1. Selic, B.: The Pragmatics of Model-Driven Development. IEEE Softw. 20(5), 19–25 (2003)

    Article  Google Scholar 

  2. Jouault, F., Kurtev, I.: Transforming Models with ATL. In: Bruel, J.-M. (ed.) MoDELS 2005 Workshops. LNCS, vol. 3844, pp. 128–138. Springer, Heidelberg (2006)

    Google Scholar 

  3. Wimmer, M., Martínez, S., Jouault, F., Cabot, J.: A Catalogue of Refactorings for Model-to-Model Transformations. Journal of Object Technology (JOT) 11(2), 1–40 (2012)

    Google Scholar 

  4. Garcia, J., Díaz, O.: Adaptation of Transformations to Metamodel Changes. Library 2, 1–9 (2010)

    Google Scholar 

  5. Mendez, D., Etien, A., Muller, A., Casallas, R.: Towards Transformation Migration After Metamodel Evolution. In: Model and Evolution Workshop, Olso, Norway (2010)

    Google Scholar 

  6. Garcés, K., Vara, J., Jouault, F., Marcos, E.: Adapting Transformations to Meta-Model Changes via External Transformation Composition. Software and Systems Modeling (2012)

    Google Scholar 

  7. Iovino, L., Pierantonio, A., Malavolta, O.: On the Impact Significance of Metamodel Evolution in MDE. Journal of Object Technology 11(3), 1–33 (2012)

    Article  Google Scholar 

  8. Garcés, K., Jouault, F., Cointe, P., Bézivin, J.: Managing Model Adaptation by Precise Detection of Metamodel Changes. In: Paige, R.F., Hartman, A., Rensink, A. (eds.) ECMDA-FA 2009. LNCS, vol. 5562, pp. 34–49. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  9. Herrmannsdoerfer, M., Benz, S., Juergens, E.: COPE - Automating Coupled Evolution of Metamodels and Models. In: Drossopoulou, S. (ed.) ECOOP 2009. LNCS, vol. 5653, pp. 52–76. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  10. Zimmermann, T., Zeller, A., Weissgerber, P., Diehl, S.: Mining Version Histories to Guide Software Changes. IEEE Transactions on Software Engineering 31(6), 429–445 (2005)

    Article  Google Scholar 

  11. Object Management Group. Unified Modeling Language (UML) Infrastructure 2.4.1 (2011), http://goo.gl/9W81lu

  12. INRIA, UML to Java Example (2005), http://goo.gl/2yPY2O

  13. Bohner, S., Arnold, R.: Software Change Impact Analysis. IEEE Computer Society Press, Los Alamitos (1996)

    Google Scholar 

  14. Tisi, M., Cabot, J., Jouault, F.: Improving higher-order transformations support in ATL. In: Tratt, L., Gogolla, M. (eds.) ICMT 2010. LNCS, vol. 6142, pp. 215–229. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  15. Vignaga, A.: Metrics for Measuring ATL Model Ttransformations, Tech. Report, University of Chile (2009)

    Google Scholar 

  16. Amstel, M.F., Lange, C.F.J., Brand, M.G.J.: Metrics for Analyzing the Quality of Model Transformations (2008)

    Google Scholar 

  17. da Silva, B.C., Maciel, R.S.P., Ramalho, F.: Evaluating Maintainability of MDA Software Process Models. In: Heidrich, J., Oivo, M., Jedlitschka, A., Baldassarre, M.T. (eds.) PROFES 2013. LNCS, vol. 7983, pp. 199–213. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

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Vieira, A., Ramalho, F. (2014). Metrics to Measure the Change Impact in ATL Model Transformations. In: Jedlitschka, A., Kuvaja, P., Kuhrmann, M., Männistö, T., Münch, J., Raatikainen, M. (eds) Product-Focused Software Process Improvement. PROFES 2014. Lecture Notes in Computer Science, vol 8892. Springer, Cham. https://doi.org/10.1007/978-3-319-13835-0_18

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  • DOI: https://doi.org/10.1007/978-3-319-13835-0_18

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13834-3

  • Online ISBN: 978-3-319-13835-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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