Failure Data Collection for Reliability Prediction Models: A Survey

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Failure Data Collection for Reliability Prediction Models: A Survey

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Failure Data Collection for Reliability Prediction Models: A Survey

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 10th International ACM Sigsoft Conference on Quality of Software Architectures (QoSA'14)

ISBN

9781450325769

ISSN

—

e-ISSN

—

Počet stran výsledku

10

Strana od-do

83-92

Název nakladatele

ACM

Místo vydání

New York, NY, USA

Místo konání akce

Lille, France

Datum konání akce

30. 6. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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