Neurosymbolic Architectural Reasoning: Towards Formal Analysis through Neural Software Architecture Inference

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.

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Published
2025-05-03
DOI
https://doi.org/10.1109/nse66660.2025.00008
Citations
1
Primary Topic
Software Engineering Research
Type
article
Field-Weighted Citation Impact
3.25
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Neurosymbolic Architectural Reasoning: Towards Formal Analysis through Neural Software Architecture Inference

Steffen Herbold, Christoph Knieke, Christian Schindler, Andreas Rausch
1 citations
Software Engineering Research
3.25
article

Neurosymbolic Architectural Reasoning: Towards Formal Analysis through Neural Software Architecture Inference

Steffen Herbold, Christoph Knieke, Christian Schindler, Andreas Rausch
article en
1 citations

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.

University of Passau (DE)
Sustainable cities and communities
Openalex Percentile: Top 8%
Software Engineering Research
3.25
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