IEICE TRANSACTIONS on Information
Software Reliability Modeling Considering Fault Correction Process
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Information Vol.E93-D No.1 pp.185-188
- Publication Date
- 2010/01/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E93.D.185
- Type of Manuscript
- LETTER
- Category
- Software Engineering
Authors
Keyword
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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},}
Copy
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 -
English
