Low-modeling is proposed as a solution to address the increasing complexity of software systems. By automating model generation and leveraging existing knowledge, low-modeling aims to streamline the development process. Strategies like heuristic-based model generation, knowledge-based model enrichment, and ML-based model inference are discussed to illustrate the benefits of low-modeling in creating smart software systems efficiently.
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by Jordi Cabot at arxiv.org 02-29-2024
https://arxiv.org/pdf/2402.18375.pdfDeeper Inquiries