Macroprogramming: Concepts, State of the Art, and Opportunities of Macroscopic Behaviour Modelling
Abstract
Macroprogramming refers to the theory and practice of conveniently expressing the macro(scopic) behaviour of a system using a single program. Macroprogramming approaches are motivated by the need of effectively capturing global/system-level aspects and the collective behaviour of a set of interacting components, while abstracting over low-level details. In the past, this style of programming has been primarily adopted to describe the data-processing logic in wireless sensor networks; recently, research forums on spatial computing, collective adaptive systems, and Internet-of-Things have provided renewed interest in macro-approaches. However, related contributions are still fragmented and lacking conceptual consistency. Therefore, to foster principled research, an integrated view of the field is provided, together with opportunities and challenges.
Keywords
Cite
@article{arxiv.2201.03473,
title = {Macroprogramming: Concepts, State of the Art, and Opportunities of Macroscopic Behaviour Modelling},
author = {Roberto Casadei},
journal= {arXiv preprint arXiv:2201.03473},
year = {2025}
}
Comments
78 pages, 4 figures, 2 tables; submitted to Foundations and Trends in Programming Languages