activity
20222026
most citedCan Large Language Models assist in Hazard Analysis?

3 citations · 4 across the 5 of their papers we have counts for

collaborators

6 papers

cs.SE2026

A Scalability Analysis of Quantitative Confidence Assessment Methods for Assurance Cases

Simon Diemert, Jens H. Weber

This paper proposes a model to estimate the decision complexity and effort required to apply quantitative confidence assessment methods to assurance cases. The model considers both…

cs.SE2025

Certus: A domain specific language for confidence assessment in assurance cases

Simon Diemert, Jens H. Weber

Assurance cases (ACs) are prepared to argue that a system has satisfied critical quality attributes. Many methods exist to assess confidence in ACs, including quantitative methods…

cs.SE2024★ 1 cited

How do practitioners gain confidence in assurance cases?

Simon Diemert, Caleb Shortt, Jens H. Weber

CONTEXT: Assurance Cases (ACs) are prepared to argue that the system's desired quality attributes (e.g., safety or security) are satisfied. While there is strong adoption of ACs, p…

eess.SY2023

Hazard Analysis for Self-Adaptive Systems Using System-Theoretic Process Analysis

Simon Diemert, Jens H. Weber

Self-adaptive systems are able to change their behaviour at run-time in response to changes. Self-adaptation is an important strategy for managing uncertainty that is present durin…

cs.HC2023★ 3 cited

Can Large Language Models assist in Hazard Analysis?

Simon Diemert, Jens H Weber

Large Language Models (LLMs), such as GPT-3, have demonstrated remarkable natural language processing and generation capabilities and have been applied to a variety tasks, such as…

cs.SE2022

Safety-Critical Adaptation in Self-Adaptive Systems

Simon Diemert, Jens H. Weber

Modern systems are designed to operate in increasingly variable and uncertain environments. Not only are these environments complex, in the sense that they contain a tremendous num…