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Software quality: predicting reliability of a software using decision tree

System availability can be expressed as an attribute of reliability that determines the total time a system or component is functioning. Most available models try to predict availability of a software during its life cycle but there are very few or no models that predict a software going days withou...

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Main Authors: Shakiru, Ayanloye O., Yusuf, Mahmud Ahmad, Koh, Tieng Wei, Letchmunan, Sukumar
Format: Article
Language:English
Published: Asian Network for Scientific Information 2014
Online Access:http://psasir.upm.edu.my/id/eprint/35406/1/Software%20quality.pdf
http://psasir.upm.edu.my/id/eprint/35406/
http://scialert.net/abstract/?doi=itj.2014.2755.2759
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spelling my.upm.eprints.354062016-01-27T04:17:29Z http://psasir.upm.edu.my/id/eprint/35406/ Software quality: predicting reliability of a software using decision tree Shakiru, Ayanloye O. Yusuf, Mahmud Ahmad Koh, Tieng Wei Letchmunan, Sukumar System availability can be expressed as an attribute of reliability that determines the total time a system or component is functioning. Most available models try to predict availability of a software during its life cycle but there are very few or no models that predict a software going days without a failure. Over the years, decision tree model have been used as a reliable technique for prediction. In this study, based on the sample data collected by John Musa of Bell Telephone Laboratories, a decision tree model has been used to predict the availability of a system going days without a failure. This study concluded that a decision tree model is able to decide availability of a software in terms of going days without a failure. Asian Network for Scientific Information 2014 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/35406/1/Software%20quality.pdf Shakiru, Ayanloye O. and Yusuf, Mahmud Ahmad and Koh, Tieng Wei and Letchmunan, Sukumar (2014) Software quality: predicting reliability of a software using decision tree. Information Technology Journal, 13 (18). pp. 2755-2759. ISSN 1812-5638; ESSN: 1812-5646 http://scialert.net/abstract/?doi=itj.2014.2755.2759 10.3923/itj.2014.2755.2759
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description System availability can be expressed as an attribute of reliability that determines the total time a system or component is functioning. Most available models try to predict availability of a software during its life cycle but there are very few or no models that predict a software going days without a failure. Over the years, decision tree model have been used as a reliable technique for prediction. In this study, based on the sample data collected by John Musa of Bell Telephone Laboratories, a decision tree model has been used to predict the availability of a system going days without a failure. This study concluded that a decision tree model is able to decide availability of a software in terms of going days without a failure.
format Article
author Shakiru, Ayanloye O.
Yusuf, Mahmud Ahmad
Koh, Tieng Wei
Letchmunan, Sukumar
spellingShingle Shakiru, Ayanloye O.
Yusuf, Mahmud Ahmad
Koh, Tieng Wei
Letchmunan, Sukumar
Software quality: predicting reliability of a software using decision tree
author_facet Shakiru, Ayanloye O.
Yusuf, Mahmud Ahmad
Koh, Tieng Wei
Letchmunan, Sukumar
author_sort Shakiru, Ayanloye O.
title Software quality: predicting reliability of a software using decision tree
title_short Software quality: predicting reliability of a software using decision tree
title_full Software quality: predicting reliability of a software using decision tree
title_fullStr Software quality: predicting reliability of a software using decision tree
title_full_unstemmed Software quality: predicting reliability of a software using decision tree
title_sort software quality: predicting reliability of a software using decision tree
publisher Asian Network for Scientific Information
publishDate 2014
url http://psasir.upm.edu.my/id/eprint/35406/1/Software%20quality.pdf
http://psasir.upm.edu.my/id/eprint/35406/
http://scialert.net/abstract/?doi=itj.2014.2755.2759
_version_ 1643831444338900992
score 13.211869

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