Evaluating Assurance Cases as Text-Attributed Graphs for Structure and Provenance Analysis
An assurance case is a structured argument document that justifies claims about a system's requirements or properties, which are supported by evidence. In regulated domains, these are crucial for meeting compliance and safety requirements to industry standards. We propose a graph diagnostic framework for analysing the structure and provenance of assurance cases. We focus on two main tasks: (1) link prediction, to learn and identify connections between argument elements, and (2) graph classification, to differentiate between assurance cases created by a state-of-the-art large language model and those created by humans, aiming to detect bias. We compiled a publicly available dataset of assu...
| Authors | Fariz Ikhwantri, Dusica Marijan |
|---|---|
| Primary category | cs.SE |
| Published | 22 April 2026 |
| Last updated at source | 30 April 2026 |
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