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Software production efficiency without size parameters using DEA 1 edition

Software production efficiency without size parameters using DEA
Christopher McEachern


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Software production efficiency without size parameters using DEA.

Published 2005 .
Written in English.

About the Book

This research uses Data Envelopment Analysis (DEA) to evaluate twenty-six software projects. The models use an internal risk and complexity assessment to measure software development output, in conjunction with customer satisfaction. Three models are included in this study: time-to-market, cost estimation, and cost minimization.While software has facilitated unprecedented growth and technological advancement across essentially all industries and markets, productivity improvement continues to lag behind all other aspects of computing advances. Consequently, more sophisticated analysis techniques are required to effectively measure the software process.This research is unique because very few DEA studies have accounted for risk/complexity in modeling software development, at least to the knowledge of this author. In addition, it uses budget variance as a proxy for measuring cost estimation and cost minimization efficiency. Finally, it is unique because it does not rely upon an explicit measure of size to account for software development output.

Edition Notes

Source: Masters Abstracts International, Volume: 44-02, page: 1015.

Thesis (M.A.Sc.)--University of Toronto, 2005.

Electronic version licensed for access by U. of T. users.

GERSTEIN MICROTEXT copy on microfiche (2 microfiches).

The Physical Object

164 leaves.
Number of pages

ID Numbers

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History Created December 11, 2009 · 2 revisions Download catalog record: RDF / JSON

January 24, 2010 Edited by WorkBot add more information to works
December 11, 2009 Created by WorkBot add works page