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Prediction of Undetected Faults in Safety-Critical Software

Conference paper
Authors J. Sundell
Richard Torkar
K. Lundqvist
H. Forsberg
Published in 2019 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)
ISBN 978-1-7281-0888-9
Publication year 2019
Published at Department of Computer Science and Engineering (GU)
Language en
Links dx.doi.org/10.1109/icstw.2019.00069
Keywords software, safety-critical, test, fault prediction
Subject categories Computer and Information Science

Abstract

Safety-critical software systems need to meet exceptionally strict standards in terms of dependability. Best practice to achieve this is to follow and develop the software according to domain specific standards. These standards give guidelines on development and testing activities. The challenge is that even if you follow the steps of the appropriate standard you have no quantification of the amount of faults potentially still lingering in the system. This paper presents a way to statistically estimate the amount of undetected faults, based on test results.

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