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MDE for Machine Learning-Enabled Software Systems: A Case Study and Comparison of MontiAnna & ML-Quadrat. (arXiv:2209.07282v1 [cs.SE])
cs.LG updates on arXiv.org arxiv.org
In this paper, we propose to adopt the MDE paradigm for the development of
Machine Learning (ML)-enabled software systems with a focus on the Internet of
Things (IoT) domain. We illustrate how two state-of-the-art open-source
modeling tools, namely MontiAnna and ML-Quadrat can be used for this purpose as
demonstrated through a case study. The case study illustrates using ML, in
particular deep Artificial Neural Networks (ANNs), for automated image
recognition of handwritten digits using the MNIST reference dataset, and
integrating …
arxiv case case study comparison machine machine learning software study systems