Exponential effort estimation model using unadjusted function points.

In this study, we present a window-based exponential effort estimation model to predict the effort required in terms of man days by using Unadjusted Function Point (UFP) size measure and eliminate the usage of General Systems Characteristics (GSCs). A very comprehensive statistical analysis and test...

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Main Authors: Koh, Tieng Wei, Selamat, Mohd Hasan, Abd Ghani, Abdul Azim
Format: Article
Language:English
English
Published: Asian Network for Scientific Information 2008
Online Access:http://psasir.upm.edu.my/id/eprint/14669/
http://psasir.upm.edu.my/id/eprint/14669/1/Exponential%20effort%20estimation%20model%20using%20unadjusted%20function%20points.pdf
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author Koh, Tieng Wei
Selamat, Mohd Hasan
Abd Ghani, Abdul Azim
author_facet Koh, Tieng Wei
Selamat, Mohd Hasan
Abd Ghani, Abdul Azim
author_sort Koh, Tieng Wei
building UPM Institutional Repository
collection Online Access
description In this study, we present a window-based exponential effort estimation model to predict the effort required in terms of man days by using Unadjusted Function Point (UFP) size measure and eliminate the usage of General Systems Characteristics (GSCs). A very comprehensive statistical analysis and test was carried out on large amount of quality project data in the International Software Benchmarking Standard Group (ISBSG) Release 9 dataset, which were collected by the International Function Points User Group (IFPUG) count approach in the process of model development. The effectiveness of the model was examined and reported in this study.
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institution Universiti Putra Malaysia
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language English
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last_indexed 2025-11-15T07:59:27Z
publishDate 2008
publisher Asian Network for Scientific Information
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spelling upm-146692015-09-28T04:27:32Z http://psasir.upm.edu.my/id/eprint/14669/ Exponential effort estimation model using unadjusted function points. Koh, Tieng Wei Selamat, Mohd Hasan Abd Ghani, Abdul Azim In this study, we present a window-based exponential effort estimation model to predict the effort required in terms of man days by using Unadjusted Function Point (UFP) size measure and eliminate the usage of General Systems Characteristics (GSCs). A very comprehensive statistical analysis and test was carried out on large amount of quality project data in the International Software Benchmarking Standard Group (ISBSG) Release 9 dataset, which were collected by the International Function Points User Group (IFPUG) count approach in the process of model development. The effectiveness of the model was examined and reported in this study. Asian Network for Scientific Information 2008 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/14669/1/Exponential%20effort%20estimation%20model%20using%20unadjusted%20function%20points.pdf Koh, Tieng Wei and Selamat, Mohd Hasan and Abd Ghani, Abdul Azim (2008) Exponential effort estimation model using unadjusted function points. Information Technology Journal, 7 (6). pp. 830-839. ISSN 1812-5638 10.3923/itj.2008.830.839 English
spellingShingle Koh, Tieng Wei
Selamat, Mohd Hasan
Abd Ghani, Abdul Azim
Exponential effort estimation model using unadjusted function points.
title Exponential effort estimation model using unadjusted function points.
title_full Exponential effort estimation model using unadjusted function points.
title_fullStr Exponential effort estimation model using unadjusted function points.
title_full_unstemmed Exponential effort estimation model using unadjusted function points.
title_short Exponential effort estimation model using unadjusted function points.
title_sort exponential effort estimation model using unadjusted function points.
url http://psasir.upm.edu.my/id/eprint/14669/
http://psasir.upm.edu.my/id/eprint/14669/
http://psasir.upm.edu.my/id/eprint/14669/1/Exponential%20effort%20estimation%20model%20using%20unadjusted%20function%20points.pdf