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Title: An Evidential Reasoning Approach for Assessing Confidence in Safety Evidence
Authors: Nair, Sunil
Walkinshaw, Neil
Kelly, Tim
de la Vara, Jose Luis
First Published: 14-Jan-2016
Presented at: 26th IEEE International Symposium on Software Reliability Engineering, November 2–5, 2015 Gaithersburg, MD, USA
Citation: 26th International Symposium on Software Reliability Engineering (ISSRE), 2015
Abstract: Safety cases present the arguments and evidence that can be used to justify the acceptable safety of a system. Many secondary factors such as the tools used, the techniques applied, and the experience of the people who created the evidence, can affect an assessor’s confidence in the evidence cited by a safety case. One means of reasoning about this confidence and its inherent uncertainties is to present a ‘confidence argument’ that explicitly justifies the provenance of the evidence used. In this paper, we propose a novel approach to automatically construct these confidence arguments by enabling assessors to provide individual judgements concerning the trustworthiness and the appropriateness of the evidence. The approach is based on Evidential Reasoning and enables the derivation of a quantified aggregate of the overall confidence. The proposed approach is supported by a prototype tool (EviCA) and has been evaluated using the Technology Acceptance Model.
DOI Link: 10.1109/ISSRE.2015.7381846
ISBN: 978-1-5090-0406-5
Version: Post-print
Status: Peer-reviewed
Type: Conference Paper
Rights: Copyright © 2015, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Appears in Collections:Conference Papers & Presentations, Dept. of Computer Science

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