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MoTUO: An Approach for Optimizing Usability Within Model Transformations

  • Research Article - Computer Engineering and Computer Science
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Abstract

Model transformation stands for an important issue to manipulate models in the model-driven engineering approach. Indeed, it consists of a set of transformation rules describing how a construct from a source model can be transformed to one or several ways in the target model. Though alternative target models may be equivalent from the functional perspective, they may differ from the non-functional perspective. Besides, they do not satisfy the same usability aspects. One of the main challenges of the transformation process is identifying the alternative transformation that generates a highly usable target model according to a set of desired usability attributes. Our research work addresses this issue by combining the power of model transformations engine and search techniques. Specifically, the proposed approach defines model transformation as a usability optimization problem. It allows the search of the optimal alternative transformation from a large search space taking into account an agreed usability model and using a metaheuristic search algorithm.

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Authors and Affiliations

  1. CES Laboratory, National School of Engineering, University of Sfax, Sfax, Tunisia

    Marwa Hentati & Lassaad Ben Ammar

  2. College of Computation and Informatics, Saudi Electronic University, Dammam, Saudi Arabia

    Abdelwaheb Trabelsi

  3. College of Computers and Information Technology, Taif University, Taif, Saudi Arabia

    Adel Mahfoudhi

Authors
  1. Marwa Hentati
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  2. Abdelwaheb Trabelsi
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  3. Lassaad Ben Ammar
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  4. Adel Mahfoudhi
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Correspondence to Marwa Hentati.

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Hentati, M., Trabelsi, A., Ben Ammar, L. et al. MoTUO: An Approach for Optimizing Usability Within Model Transformations. Arab J Sci Eng 44, 3253–3269 (2019). https://doi.org/10.1007/s13369-018-3462-1

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