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Choosing software reliability models
- Date Issued:
- 1989
- Summary:
- One of the important problems which software engineers face is how to determine which software reliability model should be used for a particular system. Some recent attempts to compare different models used complementary graphical and analytical techniques. These techniques require an excessive amount of time for plotting the data and running the analyses, and they are still rather subjective as to which model is best. So another technique needs to be found that is simpler and yet yields a less subjective measure of goodness of fit. The Akaike Information Criterion (AIC) is proposed as a new approach for selecting the best model. The performance of AIC is measured by Monte-Carlo simulation and by comparison to published data sets. The AIC chooses the correct model 95% of the time.
Title: | Choosing software reliability models. |
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Name(s): |
Woodcock, Timothy G. Florida Atlantic University, Degree Grantor Khoshgoftaar, Taghi M. |
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Type of Resource: | text | |
Genre: | Electronic Thesis Or Dissertation | |
Issuance: | monographic | |
Date Issued: | 1989 | |
Publisher: | Florida Atlantic University | |
Place of Publication: | Boca Raton, Fla. | |
Physical Form: | application/pdf | |
Extent: | 107 p. | |
Language(s): | English | |
Summary: | One of the important problems which software engineers face is how to determine which software reliability model should be used for a particular system. Some recent attempts to compare different models used complementary graphical and analytical techniques. These techniques require an excessive amount of time for plotting the data and running the analyses, and they are still rather subjective as to which model is best. So another technique needs to be found that is simpler and yet yields a less subjective measure of goodness of fit. The Akaike Information Criterion (AIC) is proposed as a new approach for selecting the best model. The performance of AIC is measured by Monte-Carlo simulation and by comparison to published data sets. The AIC chooses the correct model 95% of the time. | |
Identifier: | 14561 (digitool), FADT14561 (IID), fau:11358 (fedora) | |
Note(s): | Thesis (M.S.)--Florida Atlantic University, 1989. | |
Subject(s): |
Computer software--Testing Computer software--Reliability |
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Held by: | Florida Atlantic University Libraries | |
Persistent Link to This Record: | http://purl.flvc.org/fcla/dt/14561 | |
Sublocation: | Digital Library | |
Use and Reproduction: | Copyright © is held by the author with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder. | |
Use and Reproduction: | http://rightsstatements.org/vocab/InC/1.0/ | |
Host Institution: | FAU | |
Is Part of Series: | Florida Atlantic University Digital Library Collections. |