Software Availability Based on Reliability Growth Models
Summary :
Software development managers and users have been interested in software availability for the software operational phase. It is of great importance to assess software reliability and performance during the operation phase. Therefore, we discuss software availability measurement based on software reliability growth models which describe behavior of software errors detected during the testing and operation phase. These models are formulated by nonhomogeneous Poisson processes (NHPP). The software availability index is defined as the possible system utilization factor which means the percentage of time that the software system will be available for operation. We show numerical examples on software availability measurement for actual software error data.
- Publication
- IEICE TRANSACTIONS on transactions Vol.E73-E No.8 pp.1264-1269
- Publication Date
- 1990/08/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section PAPER (Special Issue on Fault-Tolerant Systems)
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Hiroshi OHTERA, Shigeru YAMADA, Hiroyuki NARIHISA, "Software Availability Based on Reliability Growth Models" in IEICE TRANSACTIONS on transactions,
vol. E73-E, no. 8, pp. 1264-1269, August 1990, doi: .
Abstract: Software development managers and users have been interested in software availability for the software operational phase. It is of great importance to assess software reliability and performance during the operation phase. Therefore, we discuss software availability measurement based on software reliability growth models which describe behavior of software errors detected during the testing and operation phase. These models are formulated by nonhomogeneous Poisson processes (NHPP). The software availability index is defined as the possible system utilization factor which means the percentage of time that the software system will be available for operation. We show numerical examples on software availability measurement for actual software error data.
URL: https://global.ieice.org/en_transactions/transactions/10.1587/e73-e_8_1264/_p
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@ARTICLE{e73-e_8_1264,
author={Hiroshi OHTERA, Shigeru YAMADA, Hiroyuki NARIHISA, },
journal={IEICE TRANSACTIONS on transactions},
title={Software Availability Based on Reliability Growth Models},
year={1990},
volume={E73-E},
number={8},
pages={1264-1269},
abstract={Software development managers and users have been interested in software availability for the software operational phase. It is of great importance to assess software reliability and performance during the operation phase. Therefore, we discuss software availability measurement based on software reliability growth models which describe behavior of software errors detected during the testing and operation phase. These models are formulated by nonhomogeneous Poisson processes (NHPP). The software availability index is defined as the possible system utilization factor which means the percentage of time that the software system will be available for operation. We show numerical examples on software availability measurement for actual software error data.},
keywords={},
doi={},
ISSN={},
month={August},}
Copy
TY - JOUR
TI - Software Availability Based on Reliability Growth Models
T2 - IEICE TRANSACTIONS on transactions
SP - 1264
EP - 1269
AU - Hiroshi OHTERA
AU - Shigeru YAMADA
AU - Hiroyuki NARIHISA
PY - 1990
DO -
JO - IEICE TRANSACTIONS on transactions
SN -
VL - E73-E
IS - 8
JA - IEICE TRANSACTIONS on transactions
Y1 - August 1990
AB - Software development managers and users have been interested in software availability for the software operational phase. It is of great importance to assess software reliability and performance during the operation phase. Therefore, we discuss software availability measurement based on software reliability growth models which describe behavior of software errors detected during the testing and operation phase. These models are formulated by nonhomogeneous Poisson processes (NHPP). The software availability index is defined as the possible system utilization factor which means the percentage of time that the software system will be available for operation. We show numerical examples on software availability measurement for actual software error data.
ER -
English
