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Document Type

Dissertation - University Access Only

Award Date

2015

Degree Name

Doctor of Philosophy (PhD)

Department

Mathematics and Statistics

First Advisor

Gary Hatfield

Abstract

Nearly every large organization on Earth is involved in software development at some level. Some organizations specialize in software development while other organizations only participate in software development out of necessity. In both cases, the performance of the software development matters. Organizations collect vast amounts of data relating to software development. What do the organizations do with that data? That is the problem. Many organizations fail to do anything meaningful with the data. Another problem is knowing what data to collect. There are many options, but certain data is more important than others. What data should a software development organization collect? This paper plans to answer that question and present a framework to gather the right information and provide a score for an organization that produces software. The score is not to be comparative between organizations, but to be comparative for a specific organization over time. The primary goal of this work is to provide a general framework for what a software development organization should measure and how to report on those measurements. The focus is providing a single number to represent the entire organization and not just the development efforts. That single number is considered the Cumulative Result Indicator (CRI) score. The secondary goal of this work is to provide a framework for storing the necessary data.

Library of Congress Subject Headings

Computer software -- Development Data mining Performance -- Evaluation

Description

Includes bibliographical references (pages 95-103)

Format

application/pdf

Number of Pages

115

Publisher

South Dakota State University

Rights

In Copyright - Educational Use Permitted
http://rightsstatements.org/vocab/InC-EDU/1.0/

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