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Prediction of Undetected Faults in Safety-Critical Software
Mälardalens högskola, Akademin för innovation, design och teknik, Inbyggda system.
Chalmers University of Technology, Sweden.
Mälardalens högskola, Akademin för innovation, design och teknik, Inbyggda system.ORCID-id: 0000-0003-0904-3712
Mälardalens högskola, Akademin för innovation, design och teknik, Inbyggda system.
2019 (engelsk)Inngår i: 12th IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW 2019), Xi'an, China, 2019, s. 296-304Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
Xi'an, China, 2019. s. 296-304
Emneord [en]
software, safety-critical, test, fault prediction.
HSV kategori
Identifikatorer
URN: urn:nbn:se:mdh:diva-43940DOI: 10.1109/ICSTW.2019.00069ISI: 000477742600045ISBN: 978-1-7281-0888-9 (digital)OAI: oai:DiVA.org:mdh-43940DiVA, id: diva2:1328299
Konferanse
12th IEEE International Conference on Software Testing, Verification and Validation (ICST), 23 Apr 2019, Xi'an, China
Prosjekter
DPAC - Dependable Platforms for Autonomous systems and ControlITS ESS-H Industrial Graduate School in Reliable Embedded Sensor SystemsTilgjengelig fra: 2019-06-20 Laget: 2019-06-20 Sist oppdatert: 2019-08-15bibliografisk kontrollert

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