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Publications

  1. Burdusel, A. (2021). Optimisation Methods for Model-Driven Engineering [PhD thesis]. King’s College London. Download
  2. Horcas, J. M., Struber, D., Burdusel, A., Martinez, J., & Zschaler, S. (2022). We’re Not Gonna Break It! Consistency-Preserving Operators for Efficient Product Line Configuration. IEEE Transactions on Software Engineering, 1–1. https://doi.org/10.1109/TSE.2022.3171404
  3. Burdusel, A., Zschaler, S., & John, S. (2021). Automatic generation of atomic multiplicity-preserving search operators for search-based model engineering. Software and Systems Modeling, 1–31.
  4. Burdusel, A., Zschaler, S., & John, S. (2019). Automatic Generation of Atomic Consistency Preserving Search Operators for Search-Based Model Engineering. Proceedings of International Conference on Model Driven Engineering Languages and Systems, 106–116. https://doi.org/10.1109/models.2019.00-10
  5. Burdusel, A., & Zschaler, S. (2019). Towards Scalable Search-Based Model Engineering with MDEOptimiser Scale. Proceedings of Workshop on Artificial Intelligence and Model-Driven Engineering, 189–195. https://doi.org/10.1109/models-c.2019.00032
  6. John, S., Burdusel, A., Bill, R., Struber, D., Taentzer, G., Zschaler, S., & Wimmer, M. (2019). Searching for Optimal Models: Comparing Two Encoding Approaches. Theory and Practice of Model Transformation: 12th International Conference, Accepted.
  7. Burdusel, A., Zschaler, S., & Strüber, D. (2018). MDEoptimiser: A Search Based Model Engineering Tool. Proceedings of the 21st ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, 12–16. Download
  8. Murphy, J., Burdusel, A., Luck, M., Zschaler, S., & Black, E. (2018). Deriving persuasion strategies using search-based model engineering. Proceedings of the 7th International Conference on Computational Models of Argument (COMMA’18), IOS Press, 221–232. Download
  9. Strüber, D., Burdusel, A., John, S., & Zschaler, S. (2018). Henshin: A Model Transformation Language and its Use for Search-Based Model Optimisation in MDEOptimiser. In I. Schaefer, D. Karagiannis, A. Vogelsang, D. Méndez, & C. Seidl (Eds.), Modellierung 2018 (pp. 299–300 ). Download
  10. Burdusel, A., & Zschaler, S. (2017). Automatic generation of evolution rules for model-driven optimisation. 8th International Workshop on Graph Computation Models (GCM’17). Download
  11. Burdusel, A., & Zschaler, S. (2016). Model Optimisation for Feature Class Allocation Using MDEOptimiser: A TTC 2016 Submission. In A. Garcia-Dominguez, F. Krikava, & L. M. Rose (Eds.), Proceedings of the 9th Transformation Tool Contest (Vol. 1758, pp. 33–38). CEUR. Download
  12. Zschaler, S., & Mandow, L. (2016). Towards Model-Based Optimisation: Using Domain Knowledge Explicitly. Proc. Workshop on Model-Driven Engineering, Logic and Optimization (MELO’16). Download