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Prediction of Undet...
Prediction of Undetected Faults in Safety-Critical Software
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Sundell, J. (författare)
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- Torkar, Richard, 1971 (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för data- och informationsteknik (GU),Department of Computer Science and Engineering (GU)
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Lundqvist, K. (författare)
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Forsberg, H. (författare)
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(creator_code:org_t)
- IEEE, 2019
- 2019
- Engelska.
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Ingår i: 2019 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW). - : IEEE. - 9781728108889
- Relaterad länk:
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https://gup.ub.gu.se...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
Nyckelord
- software
- safety-critical
- test
- fault prediction
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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