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Sundell, Johan
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Sundell, J., Torkar, R., Lundqvist, K. & Forsberg, H. (2019). Prediction of Undetected Faults in Safety-Critical Software. In: 12th IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW 2019): . Paper presented at 12th IEEE International Conference on Software Testing, Verification and Validation (ICST), 23 Apr 2019, Xi'an, China (pp. 296-304). Xi'an, China
Open this publication in new window or tab >>Prediction of Undetected Faults in Safety-Critical Software
2019 (English)In: 12th IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW 2019), Xi'an, China, 2019, p. 296-304Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
Xi'an, China: , 2019
Keywords
software, safety-critical, test, fault prediction.
National Category
Engineering and Technology Computer Systems
Identifiers
urn:nbn:se:mdh:diva-43940 (URN)10.1109/ICSTW.2019.00069 (DOI)000477742600045 ()978-1-7281-0888-9 (ISBN)
Conference
12th IEEE International Conference on Software Testing, Verification and Validation (ICST), 23 Apr 2019, Xi'an, China
Projects
DPAC - Dependable Platforms for Autonomous systems and ControlITS ESS-H Industrial Graduate School in Reliable Embedded Sensor Systems
Available from: 2019-06-20 Created: 2019-06-20 Last updated: 2019-08-15Bibliographically approved
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