Neurosymbolic Architectural Reasoning: Towards Formal Analysis through Neural Software Architecture Inference
Software Engineering
2025-03-21 v1
Abstract
Formal analysis to ensure adherence of software to defined architectural constraints is not yet broadly used within software development, due to the effort involved in defining formal architecture models. Within this paper, we outline neural architecture inference to solve the problem of having a formal architecture definition for subsequent symbolic reasoning over these architectures, enabling neurosymbolic architectural reasoning. We discuss how this approach works in general and outline a research agenda based on six general research question that need to be addressed, to achieve this vision.
Keywords
Cite
@article{arxiv.2503.16262,
title = {Neurosymbolic Architectural Reasoning: Towards Formal Analysis through Neural Software Architecture Inference},
author = {Steffen Herbold and Christoph Knieke and Andreas Rausch and Christian Schindler},
journal= {arXiv preprint arXiv:2503.16262},
year = {2025}
}