The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Muitos modelos de confiabilidade de software (SRMs) existentes baseiam-se na suposição de que as atividades de correção de falhas consomem uma quantidade insignificante de tempo e recursos, o que muitas vezes é inválido em situações da vida real. Consequentemente, a fiabilidade estimada e prevista do software tende a ser demasiado optimista, o que poderia, por sua vez, induzir a gestão em erro nas tomadas de decisões relacionadas. Neste artigo, primeiro fazemos uma análise aprofundada do processo de teste de software na vida real; então é proposto um SRM Markoviano considerando o processo de correção de falhas. O método de estimativa de parâmetros e o método de previsão de confiabilidade do software são estabelecidos. É dado um exemplo numérico que mostra que ao utilizar o modelo e os métodos propostos, os resultados obtidos tendem a ser mais apropriados e realistas.
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Lixin JIA, Bo YANG, Suchang GUO, Dong Ho PARK, "Software Reliability Modeling Considering Fault Correction Process" in IEICE TRANSACTIONS on Information,
vol. E93-D, no. 1, pp. 185-188, January 2010, doi: 10.1587/transinf.E93.D.185.
Abstract: Many existing software reliability models (SRMs) are based on the assumption that fault correction activities take a negligible amount of time and resources, which is often invalid in real-life situations. Consequently, the estimated and predicted software reliability tends to be over-optimistic, which could in turn mislead management in related decision-makings. In this paper, we first make an in-depth analysis of real-life software testing process; then a Markovian SRM considering fault correction process is proposed. Parameter estimation method and software reliability prediction method are established. A numerical example is given which shows that by using the proposed model and methods, the results obtained tend to be more appropriate and realistic.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E93.D.185/_p
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@ARTICLE{e93-d_1_185,
author={Lixin JIA, Bo YANG, Suchang GUO, Dong Ho PARK, },
journal={IEICE TRANSACTIONS on Information},
title={Software Reliability Modeling Considering Fault Correction Process},
year={2010},
volume={E93-D},
number={1},
pages={185-188},
abstract={Many existing software reliability models (SRMs) are based on the assumption that fault correction activities take a negligible amount of time and resources, which is often invalid in real-life situations. Consequently, the estimated and predicted software reliability tends to be over-optimistic, which could in turn mislead management in related decision-makings. In this paper, we first make an in-depth analysis of real-life software testing process; then a Markovian SRM considering fault correction process is proposed. Parameter estimation method and software reliability prediction method are established. A numerical example is given which shows that by using the proposed model and methods, the results obtained tend to be more appropriate and realistic.},
keywords={},
doi={10.1587/transinf.E93.D.185},
ISSN={1745-1361},
month={January},}
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TY - JOUR
TI - Software Reliability Modeling Considering Fault Correction Process
T2 - IEICE TRANSACTIONS on Information
SP - 185
EP - 188
AU - Lixin JIA
AU - Bo YANG
AU - Suchang GUO
AU - Dong Ho PARK
PY - 2010
DO - 10.1587/transinf.E93.D.185
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E93-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2010
AB - Many existing software reliability models (SRMs) are based on the assumption that fault correction activities take a negligible amount of time and resources, which is often invalid in real-life situations. Consequently, the estimated and predicted software reliability tends to be over-optimistic, which could in turn mislead management in related decision-makings. In this paper, we first make an in-depth analysis of real-life software testing process; then a Markovian SRM considering fault correction process is proposed. Parameter estimation method and software reliability prediction method are established. A numerical example is given which shows that by using the proposed model and methods, the results obtained tend to be more appropriate and realistic.
ER -