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Agile development methods, model-driven engineering, and cyber-physical systems are important topics in software engineering education. It is not obvious how to teach their combination while respecting individual challenges posed to students and educators. We have devised a software project class for teaching the agile MDE for CPS. The project class was held in three different semesters. In this paper,...
To keep a DSL clean, readable and reusable in different contexts, it is useful to define a separate tagging language. A tag model logically adds information to the tagged DSL model while technically keeping the artifacts separated. Using a generic tagging language leads to promiscuous tag models, whereas defining a target DSL-specific tag language has a high initial overhead. This paper presents a...
Model transformations are helpful to evolve, refactor, refine and maintain models. While domain-specific languages are normally intuitive for modelers, common model transformation approaches (regardless of whether they transform graphical or textual models) are based on the modeling language's abstract syntax requiring the modeler to learn the internal representation of the model to describe transformations...
Modeling variability in Matlab/Simulink becomes more and more important. We took the two variability modeling concepts already included in Matlab/Simulink and our own one and evaluated them to find out which one is suited best for modeling variability in the automotive domain. We conducted a controlled experiment with developers at Volkswagen AG to decide which concept is preferred by developers and...
During acceptance testing customers assess whether a system meets their expectations and often identify issues that should be improved. These findings have to be communicated to the developers -- a task we observed to be error prone, especially in distributed teams. Here, it is normally not possible to have developer representatives from every site attend the test. Developers who were not present...
Many system-development projects today are mainly driven by the complexity of their software interacting with sensors or actuators in an embedded context. Autonomous vehicle development is a domain where it seems inevitably necessary to apply modern development techniques to cope with complexity, increase development efficiency, and ensure appropriate quality. Furthermore, changes that are triggered...
To manage the complexity of developing, maintaining, and evolving a critical software-intensive system, its architecture description must be accurately and traceably linked to its implementation.
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