Proceedings of the 2012 National Conference on Information Technology and Computer Science

Method of Key Rating Ascertainment for Space Software based on Fuzzy Synthetic Evaluation and Quantitative Fault Tree Analysis

Authors
Yang Li, Kefei Song
Corresponding Author
Yang Li
Available Online November 2012.
DOI
10.2991/citcs.2012.93How to use a DOI?
Keywords
space software; key rating; fuzzy synthetic evaluation; quantitative fault tree analysis (QFTA); bottom event; top event
Abstract

Software key rating ascertainment is very important in development of space software. It can guide manager develop the congruent software using the optimal benefit-cost ratio in management. It can also provide the direction in software measurement, and help designer improve system reliability finally. In view of space software characteristics and quantitative data shortage, a method of key rating ascertainment for space software based on fuzzy synthetic evaluation and quantitative fault tree analysis is proposed. The results of application to space software development show that the new approach makes software key rating ascertainment have the quantificational evidence, which is ascertained using quantitative data and qualitative analysis

Copyright
© 2012, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2012 National Conference on Information Technology and Computer Science
Series
Advances in Intelligent Systems Research
Publication Date
November 2012
ISBN
10.2991/citcs.2012.93
ISSN
1951-6851
DOI
10.2991/citcs.2012.93How to use a DOI?
Copyright
© 2012, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yang Li
AU  - Kefei Song
PY  - 2012/11
DA  - 2012/11
TI  - Method of Key Rating Ascertainment for Space Software based on Fuzzy Synthetic Evaluation and Quantitative Fault Tree Analysis
BT  - Proceedings of the 2012 National Conference on Information Technology and Computer Science
PB  - Atlantis Press
SP  - 355
EP  - 359
SN  - 1951-6851
UR  - https://doi.org/10.2991/citcs.2012.93
DO  - 10.2991/citcs.2012.93
ID  - Li2012/11
ER  -