article

Free access

Reliability growth modeling from fault failure rates

Author:

Steven J. ZeilAuthors Info & Claims

ACM SIGSOFT Software Engineering Notes, Volume 25, Issue 1

Page 94

https://doi.org/10.1145/340855.341045

Published: 01 January 2000 Publication History

PDF eReader

Abstract

A variety of reliability growth models provide quantified measures of test effectiveness in terms that are directly relevant to project management [Lyu96], but at the cost of restricting testing to representative selection, in which test data is chosen to reflect the operational distribution of the program's inputs. During testing, data is collected on the observed times between program failures (or, similarly, numbers of failures within a time interval). These observations are fitted to one of various models, which can then be used to estimate the current reliability of the program.

References

[1]

{Lyu96} Michael R. Lyu, editor. Handbook of Software Reliability Engineering . IEEE Computer Society Press, 1996.

Digital Library

Google Scholar

[2]

{MZ96} Brian Mitchell and Steven J. Zeil. A reliability model combining representative and directed testing. In Proceedings of the 18th International Conference on Software Engineering, pages 506- 514, Berlin, March 1996. IEEE Computer Society Press.

Digital Library

Google Scholar

[3]

{MZ97} Brian Mitchell and Steven J. Zeil. Modeling the reliability growth of non-representative testing. Annals of Software Engineering , 4:11-29, 1997.

Digital Library

Google Scholar

[4]

{MZ98} Brian Mitchell and Steven J. Zeil. An experiment in estimating reliability growth under both representative and directed testing. In 1998 International Symposium on Software Testing and Analysis, pages 32-41, March 1998.

Digital Library

Google Scholar

Index Terms

Reliability growth modeling from fault failure rates
1. General and reference
  1. Cross-computing tools and techniques
    1. Reliability
2. Software and its engineering
  1. Software organization and properties
    1. Extra-functional properties
      1. Software reliability

Recommendations

Failure Type-Aware Reliability Assessment with Component Failure Dependency
SSIRI '10: Proceedings of the 2010 Fourth International Conference on Secure Software Integration and Reliability Improvement

Most of the existing reliability assessment techniques assume that components fail independently and consider different types of failures equally. By disregarding component failure dependency, these techniques assume inappropriately that a component ...
Optimizing Standby Reliability Systems Having Non-Decreasing Failure Rates

In this article we develop a bounding procedure which is applied in an algorithm for determining the number of back-up components to include in a series system. Operating only when original units fail, back-up components increase system reliability. ...
Reliability growth and demonstration: The Multi-Phase Reliability Growth Model (MPRGM)
2016 Annual Reliability and Maintainability Symposium (RAMS)
The Multi-Phase Reliability Growth Model (MPRGM) has two key distinguishing features when compared with extant reliability growth models. Firstly, it accurately incorporates complex reliability growth test phases based on ‘design dates,’ allowing observed ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM SIGSOFT Software Engineering Notes

ACM SIGSOFT Software Engineering Notes Volume 25, Issue 1

Jan 2000

242 pages

ISSN:0163-5948

DOI:10.1145/340855

Editor:
David Notkin
Univ. of Washington, Seattle, WA

Issue’s Table of Contents

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 January 2000

Published in SIGSOFT Volume 25, Issue 1

Check for updates

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

0
Total Citations
206
Total Downloads

Downloads (Last 12 months)25
Downloads (Last 6 weeks)4

Reflects downloads up to 30 Dec 2024

Other Metrics

View Author Metrics

Citations

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Abstract

References

Index Terms

Recommendations

Failure Type-Aware Reliability Assessment with Component Failure Dependency

Optimizing Standby Reliability Systems Having Non-Decreasing Failure Rates

Reliability growth and demonstration: The Multi-Phase Reliability Growth Model (MPRGM)

Comments

Information

Published In

Publisher

Publication History

Check for updates

Qualifiers

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

View options

PDF

eReader

Login options

Full Access

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations