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Fri 16 - Fri 23 October 2020
Wed 21 Oct 2020 13:35 - 13:55 at Room B - B2-MDE Process Support Chair(s): Jesús Sánchez Cuadrado

In model-driven software engineering, models are used in all phases of the development process. These models may get broken due to various editions during the modeling process. There are a number of existing tools that reduce the burden of manually dealing with correctness issues in models, however, most of these tools do not prioritize customization to follow user requirements nor allow the extension of their components to adapt to different model types. In this paper, we present an extensible model repair framework which enable users to deal with different types of models and to add their own repair preferences to customize the results. The framework uses customizable learning algorithms to automatically find the best sequence of actions for repairing a broken model according to the user preferences. As an example, we customize the framework by including as a preference a model distance metric, which allows the user to choose a more or less conservative repair. Then, we evaluate how this preference extension affects the results of the repair by comparing different distance metric calculations. Our experiment proves that extending the framework makes it more precise and produces models with better quality characteristics.

Wed 21 Oct
Times are displayed in time zone: Eastern Time (US & Canada) change

13:15 - 14:30: B2-MDE Process SupportTechnical Track at Room B
Chair(s): Jesús Sánchez CuadradoUniversidad de Murcia
13:15 - 13:35
To build, or not to build: ModelFlow, a build solution for MDE projectsFT
Technical Track
Beatriz SanchezUniversity of York, Dimitris KolovosUniversity of York, Richard PaigeMcMaster University
Pre-print Media Attached
13:35 - 13:55
An extensible framework for customizable model repairFT
Technical Track
Angela Barriga, Rogardt Heldal, Ludovico IovinoGran Sasso Science Institute, L'Aquila, Italy, Magnus Marthinsen, Adrian RutleWestern Norway University of Applied Sciences
13:55 - 14:15
Interactive Metamodel/Model Co-Evolution: A Clustering-based Multi-Objective ApproachFT
Technical Track
14:15 - 14:30
Ark: a constraint-based method for architectural synthesis of smart systemsJ1st
Technical Track
Milena Guessi, Flavio OquendoIRISA (UMR CNRS) - Univ. Bretagne-Sud (UBS), Elisa Yumi NakagawaUniversity of São Paulo, Brazil