Track Description
It appears that “digital” is all around us, both in our personal and work lives. The growing popularity of approaches like model-driven development and low-code development, which involve code generation, has made modelling more relevant than ever in information systems development.
Professionals have sometimes been reluctant to create models as part of their work but that attitude is slowly changing. In agile information systems development, the traditional reluctance to use software models has been replaced by a more practical approach, recognizing the value that models derived from user stories and other requirements artefacts can provide in ensuring the timely delivery of high-quality systems. Data scientists are also increasingly using domain models to make sense of the data in their pipelines, which are used to build, train, evaluate, and deploy machine learning models. Overall, there is a renewed appreciation for the role of information system models, including conceptual or domain models, requirements models, and software models, leading to the question of how these modelling approaches can be improved or innovated to better support new approaches to information systems development.
Track Chairs
Geert Poels, Ghent University, Belgium
Bas van Gils, Antwerp Management School, Belgium
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