Software Reliability Modeling Based on Burr XII Distributions
Summary :
In this letter we develop a software reliability modeling framework by introducing the Burr XII distributions to software fault-detection time. An extension to deal with software metrics data characterizing the product size, program complexity or testing expenditure is also proposed. Finally, we investigate the goodness-of-fit performance and compare our new models with the existing ones through real data analyses.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E98-A No.10 pp.2091-2095
- Publication Date
- 2015/10/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E98.A.2091
- Type of Manuscript
- Special Section LETTER (Special Section on Recent Developments on Reliability, Maintainability and Dependability)
- Category
Authors
Takahiro IMANAKA
Hiroshima University
Tadashi DOHI
Hiroshima University
Keyword
Latest Issue
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Takahiro IMANAKA, Tadashi DOHI, "Software Reliability Modeling Based on Burr XII Distributions" in IEICE TRANSACTIONS on Fundamentals,
vol. E98-A, no. 10, pp. 2091-2095, October 2015, doi: 10.1587/transfun.E98.A.2091.
Abstract: In this letter we develop a software reliability modeling framework by introducing the Burr XII distributions to software fault-detection time. An extension to deal with software metrics data characterizing the product size, program complexity or testing expenditure is also proposed. Finally, we investigate the goodness-of-fit performance and compare our new models with the existing ones through real data analyses.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E98.A.2091/_p
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@ARTICLE{e98-a_10_2091,
author={Takahiro IMANAKA, Tadashi DOHI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Software Reliability Modeling Based on Burr XII Distributions},
year={2015},
volume={E98-A},
number={10},
pages={2091-2095},
abstract={In this letter we develop a software reliability modeling framework by introducing the Burr XII distributions to software fault-detection time. An extension to deal with software metrics data characterizing the product size, program complexity or testing expenditure is also proposed. Finally, we investigate the goodness-of-fit performance and compare our new models with the existing ones through real data analyses.},
keywords={},
doi={10.1587/transfun.E98.A.2091},
ISSN={1745-1337},
month={October},}
Copy
TY - JOUR
TI - Software Reliability Modeling Based on Burr XII Distributions
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2091
EP - 2095
AU - Takahiro IMANAKA
AU - Tadashi DOHI
PY - 2015
DO - 10.1587/transfun.E98.A.2091
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E98-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 2015
AB - In this letter we develop a software reliability modeling framework by introducing the Burr XII distributions to software fault-detection time. An extension to deal with software metrics data characterizing the product size, program complexity or testing expenditure is also proposed. Finally, we investigate the goodness-of-fit performance and compare our new models with the existing ones through real data analyses.
ER -
English
