Development of a resource scheduling model
The purpose of this study is to find models that best represent the software development process of IBM Federal Systems Division (FSD). The primary area of research is to evaluate existing effort estimating models and to develop a model best suited to IBM FSD's environment. The method of evalua...
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ndltd-VTETD-oai-vtechworks.lib.vt.edu-10919-911002020-09-26T05:36:14Z Development of a resource scheduling model Gintner, Mark G. Computer Science LD5655.V855 1986.G578 Computer service industry The purpose of this study is to find models that best represent the software development process of IBM Federal Systems Division (FSD). The primary area of research is to evaluate existing effort estimating models and to develop a model best suited to IBM FSD's environment. The method of evaluation is an analysis of three existing models and their performance on a database of project information. The models used in this study included the Basic COCMO model by Boehm, the COPMO model by Thebaut and Putnam's macroestimating model. After extensive evaluation a hybrid effort estimating model was developed, and proven to be the best predictor of effort. M.S. 2019-07-03T18:56:57Z 2019-07-03T18:56:57Z 1986 Thesis Text http://hdl.handle.net/10919/91100 en_US OCLC# 15123883 In Copyright http://rightsstatements.org/vocab/InC/1.0/ viii, 91 leaves application/pdf application/pdf Virginia Polytechnic Institute and State University |
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LD5655.V855 1986.G578 Computer service industry Gintner, Mark G. Development of a resource scheduling model |
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The purpose of this study is to find models that best represent the software development process of IBM Federal Systems Division (FSD). The primary area of research is to evaluate existing effort estimating models and to develop a model best suited to IBM FSD's environment. The method of evaluation is an analysis of three existing models and their performance on a database of project information. The models used in this study included the Basic COCMO model by Boehm, the COPMO model by Thebaut and Putnam's macroestimating model. After extensive evaluation a hybrid effort estimating model was developed, and proven to be the best predictor of effort. === M.S. |
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Computer Science |
author_facet |
Computer Science Gintner, Mark G. |
author |
Gintner, Mark G. |
author_sort |
Gintner, Mark G. |
title |
Development of a resource scheduling model |
title_short |
Development of a resource scheduling model |
title_full |
Development of a resource scheduling model |
title_fullStr |
Development of a resource scheduling model |
title_full_unstemmed |
Development of a resource scheduling model |
title_sort |
development of a resource scheduling model |
publisher |
Virginia Polytechnic Institute and State University |
publishDate |
2019 |
url |
http://hdl.handle.net/10919/91100 |
work_keys_str_mv |
AT gintnermarkg developmentofaresourceschedulingmodel |
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1719342123384307712 |