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The full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details.

Model-driven engineering (MDE) involves the construction and manipulation of many models of different kinds in an engineering process. In principle, models can be used in the product engineering lifecycle in an endto-end manner for representing requirements, designs and implementations, and assisting in deployment and maintenance. The manipulations applied to models may be manual, but they can also be automated-for example, using model transformations, code generation, and validation. To enhance automated analysis, consistency and coherence of models used in an MDE process, it is useful to identify, establish and maintain trace-links between models. However, the breadth and scope of trace-links that can be used in MDE is substantial, and managing trace-link information can be very complex. In this paper, we contribute to managing the complexity of traceability information in MDE in two ways: firstly, we demonstrate how to identify the different kinds of trace-links that may appear in an end-to-end MDE process; secondly, we describe a rigorous approach to defining semantically rich trace-links between models, where the models themselves may be constructed using diverse modelling languages. The definition of rich trace-links allows us to use tools to maintain and analyse traceability relationships.

The United Nations Educational, Scientific, and Cultural Organization (UNESCO) aims to enhance peace, security, and sustainable development by fostering international collaboration. Based on this aim, it stands to reason that the organization ought to contribute to the UN 2030 Agenda for Sustainable Development. In this research, we examined how an important program of UNESCO, the UNESCO Chairs, contributes to the achievement of the UN Sustainable Development Goals (UN SDGs). Specifically, we studied the activities of 34 UNESCO Chairs from seven countries of the Northern Hemisphere (Germany, Iceland, Portugal, Slovenia, South Korea, Switzerland, and the United Kingdom) to assess the contribution of the chairs toward the UN SDGs. The data for this study are based on in-depth narrative interviews, and we used Hermeneutic Content Analysis, a mixed methods framework, for analysis. Our results show that, unsurprisingly, all chairs contribute to UN SDG 4 (Quality Education) and 17 (Partnerships for the Goals) based on their extensive research and teaching activities. Interestingly, their academic focal areas contribute to specific UN SDG clusters. Using Multidimensional Scaling, we analyzed the UN SDG clusters across different focal areas to reveal the implicit models of sustainability among the chairs. Our findings have implications on the limits of how UNESCO Chairs conceptualize sustainability and show how this has positive and negative consequences on their contribution toward achieving the UN SDGs.