ABOUT

Model-driven engineering (MDE) refers to a broad range of approaches where models play an indispensable role in software development. Modeling promotes higher level of abstraction, therefore reducing complexity of software development and promoting communication among the several stakeholders involved in the lifecycle of software systems (e.g., product managers, analysts, designers, programmers, operators to name just a few). MDE initiatives, such as Domain-Specific Modeling (DSM), make claims of increased quality and productivity by separating business and application logic from underlying platform technology, transforming models to other models (e.g., for validation and verification) and automating code generation (ranging from system skeletons to complete, deployable products). However, while quality assurance is a well-known topic in “traditional” Software Engineering, less is known on how to assess quality across the MDE lifecycle (encompassing new activities such as metamodel-based language engineering or transformation engineering such as template-based code generation), as well as on the effective improvements obtained by applying MDE itself including the quality of the MDE technologies.

We seek novel contributions ranging from conceptual frameworks over tool supported methodologies to case studies and experiments on how to leverage ICT systems quality with MDE techniques, as well as how to induce quality assurance in the MDE lifecycle itself.

TOPICS

The suggested topics of interest include, but are not restricted to:

• Quality models in the MDE context

• Quality assurance in the MDE development flow

• Evaluating the quality of models, metamodels, and transformations

• Models’ traceability throughout the complete lifecycle including operations

• Measuring the improvement achieved with an MDE approach, specially regarding quality

• Quality in the context of model-driven service oriented systems

• Case studies and lessons learned in applying MDE in industry

• Empirical studies on the quality of MDE processes

• Studying the quality of MDE technologies

• Modeling and analyzing quality standards

• Role of MDE in the quality evaluation of software maintenance, evolution and migration scenarios

TRACK COMMITTEE

Track Chair: Manuel Wimmer, Johannes Kepler University Linz, Austria

Program Committee :

• • Loli Burgueño, Open University of Catalonia & CEA LIST, Spain

  • Andreas Wortmann, RWTH Aachen, Germany

  • Antonio Cicchetti, Mälardalen University, Sweden

  • Antonio Vallecillo, Universidad de Malaga, Spain

  • Benoit Combemale, University of Toulouse, France

  • Eugene Syriani, University of Montreal, Canada

  • Geylani Kardas, Ege University, Turkey

  • Grischa Liebel, Reykjavik University, Iceland

  • Gustavo Rossi, Universidad Nacional de La Plata, Argentina

  • Ivano Malavolta, Vrije Universiteit Amsterdam, the Netherlands

  • Javier Troya, Universidad de Sevilla, Spain

  • Juan de Lara, Universidad Autónoma de Madrid, Spain

  • Juan Manuel Vara Mesa, Rey Juan Carlos University, Spain

  • Ludovico Iovino, Gran Sasso Science Institute, Italy

  • Marcos Didonet Del Fabro, Universidade Federal do Paraná, Brazil

  • Robert Clarisó, Universitat Oberta de Catalunya, Spain

  • Valter V. Camargo, Federal University of São Carlos, Brazil

  • Vasco Amaral, Universidade NOVA de Lisboa, Portugal

  • Timo Kehrer, Humboldt-Universität zu Berlin, Germany

  • Daniel Strüber, Radboud University Nijmegen, the Netherlands

  • Stefan Klikovits, National Institute of Informatics, Japan

  • Alberto Silva, Universidade de Lisboa, Portugal

PREVIOUS TRACK EDITIONS

QUATIC 2019, QUATIC 2018, QUATIC 2016, QUATIC 2014, QUATIC 2012, QUATIC 2010