Failure Data Collection for Reliability Prediction Models: A Survey
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F14%3A00076155" target="_blank" >RIV/00216224:14330/14:00076155 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1145/2602576.2602586" target="_blank" >http://dx.doi.org/10.1145/2602576.2602586</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/2602576.2602586" target="_blank" >10.1145/2602576.2602586</a>
Alternative languages
Result language
angličtina
Original language name
Failure Data Collection for Reliability Prediction Models: A Survey
Original language description
Design decisions made early in software development have great impact on the software product quality. Design-time reliability prediction is one of the techniques that support software engineers in early design decisions, based on the evaluation of reliability impact of the individual design alternatives. The accuracy of reliability prediction is critically dependent on the accuracy of reliability prediction models, which relies on uncertain failure parameters (such as the failure probability of component-internal actions). Although the effectiveness of the failure-parameter estimation critically influences the usability of the prediction techniques, the parameter estimation often relies on expert knowledge and is not receiving systematic attention. This paper aims to survey existing techniques for estimation and collection of failure parameters in architecture-based reliability prediction models, and presents the findings that can be learned from their detailed analysis.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 10th International ACM Sigsoft Conference on Quality of Software Architectures (QoSA'14)
ISBN
9781450325769
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
83-92
Publisher name
ACM
Place of publication
New York, NY, USA
Event location
Lille, France
Event date
Jun 30, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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