The Object Constraint Language (OCL) is a popular textual modeling language for describing queries and constraints in object-oriented software development. This paper reports on the 20th International Workshop on OCL and Textual Modeling (OCL'2021), held in collocation with the STAF federated conferences. The workshop reflected on improvements to the OCL language, tools, and applications. The Object Constraint Language (OCL) is a popular textual notation for describing constraints and queries in object-oriented development. The International Workshop on OCL and Textual Modeling is a yearly forum where the community around OCL gathers to discuss new developments around the OCL language, valuable tools based on OCL, its applications, and other textual modeling languages.
https://www.fing.edu.uy/~dcalegar/ (D. Calegari); https://robertclariso.github.io (R. Clarisó) © 2021 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). • István Ráth, Budapest University of Technology and Economics, Hungary • Jan Oliver Ringert, University of Leicester, UK • Bernhard Rumpe, RWTH Aachen, Germany • Ernest Teniente, UPC-Barcelona Tech, Spain • Antonio Vallecillo, Universidad de Málaga, Spain • Hao Wu, Maynooth University, Ireland
In addition to the submitted papers, the workshop included a panel with contributions from Dr. Jordi Cabot (ICREA), Dr. Martin Gogolla (Univ. Bremen), and Dr. Antonio Vallecillo (Univ. Málaga). This panel focused on diagnosing the current status of OCL (language, tool ecosystem, community, etc.) using a SWOT matrix (Strengths, Weaknesses, Opportunities, and Threats). The key conclusions of the panel are presented in the proceedings of this workshop in the paper “A SWOT Analysis of the Object Constraint Language”.
Finally, two authors contributed lightning talks during the open session: “Stating the Most General Type, not the Most Specific Type can Make Sense” by Dr. Martin Gogolla and “Normalizing OCL Associations” by Dr. Edward Willink.
Acknowledgments The workshop organizers would like to thank the authors, program committee members, and attendees for their contributions and participation in the workshop. Moreover, we would like to thank the STAF workshop organizers (Ludovico Iovino and Lars Michael Kristensen) and STAF organizers (Adrian Rutle) for their help in the organization of the workshop as a virtual event.