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DOMAIN-BASED EFFORT DISTRIBUTION MODEL
FOR SOFTWARE COST ESTIMATION
by
Thomas Tan
________________________________________________________________________
A Dissertation Presented to the
FACULTY OF THE USC GRADUATE SCHOOL
UNIVERSITY OF SOUTHERN CALIFORNIA
In Partial Fulfillment of the
Requirements for the Degree
DOCTOR OF PHILOSOPHY
(COMPUTER SCIENCE)
August 2012
Copyright 2012 Thomas Tan
Object Description
| Title | Domain-based effort distribution model for software cost estimation |
| Author | Tan, Thomas |
| Author email | thomast.tan@gmail.com;thomast.tan@gmail.com |
| Degree | Doctor of Philosophy |
| Document type | Dissertation |
| Degree program | Computer Science (Software Engineering) |
| School | Viterbi School of Engineering |
| Date defended/completed | 2012-06-20 |
| Date submitted | 2012-09-05 |
| Date approved | 2012-09-06 |
| Restricted until | 2012-09-06 |
| Date published | 2012-09-06 |
| Advisor (committee chair) | Boehm, Barry |
| Advisor (committee member) |
Medvidovic, Nenad Settles, Stan |
| Abstract | In software cost estimation, effort allocation is an important and usually challenging task for project management. Due to the Cone of Uncertainty effect on overall effort estimation and lack of representative effort distribution data, project managers often find it difficult to plan for staffing and other team resources. This often leads to risky decisions to assign too few or too many people to complete software lifecycle activities. As a result, projects with inaccurate resource allocation will generally experience serious schedule delay or cost overrun, which has been the outcome of 44% of the projects reported by the Standish Group. ❧ Due to lack of data, most effort estimation models, including COCOMO II, use a one-size-fits-all distribution of effort by phase and activity. The availability of a critical mass of data from U.S. Defense Department software projects on effort distribution has enabled me to test several hypotheses that effort distributions vary by project size, personnel capability, and application domains. This dissertation will summarize the analysis approach, describe the techniques and methodologies used, and report the results. The key results were that size and personnel capability were not significant sources of effort distribution variability, but that analysis of the influence of application domain on effort distribution rejected the null hypothesis that the distributions do not vary by domains, at least for the U.S. Defense Department sector. The results were then used to produce an enhanced version of the COCOMO II model and tool for better estimation of the effort distributions for the data-supported domains. |
| Keyword | software cost estimation; software engineering; software domains; software effort distribution |
| Language | English |
| Part of collection | University of Southern California dissertations and theses |
| Publisher (of the original version) | University of Southern California |
| Place of publication (of the original version) | Los Angeles, California |
| Publisher (of the digital version) | University of Southern California. Libraries |
| Provenance | Electronically uploaded by the author |
| Type | texts |
| Legacy record ID | usctheses-m |
| Rights | Tan, Thomas |
| Access conditions | The author retains rights to his/her dissertation, thesis or other graduate work according to U.S. copyright law. Electronic access is being provided by the USC Libraries in agreement with the author, as the original true and official version of the work, but does not grant the reader permission to use the work if the desired use is covered by copyright. It is the author, as rights holder, who must provide use permission if such use is covered by copyright. The original signature page accompanying the original submission of the work to the USC Libraries is retained by the USC Libraries and a copy of it may be obtained by authorized requesters contacting the repository e-mail address given. |
| Repository name | University of Southern California Digital Library |
| Repository address | USC Digital Library, University of Southern California, University Park Campus MC 7002, 106 University Village, Los Angeles, California 90089-7002, USA |
| Repository email | cisadmin@usc.edu |
| Archival file | uscthesesreloadpub_Volume4/etd-TanThomas-1184.pdf |
Description
| Title | Page 1 |
| Full text | DOMAIN-BASED EFFORT DISTRIBUTION MODEL FOR SOFTWARE COST ESTIMATION by Thomas Tan ________________________________________________________________________ A Dissertation Presented to the FACULTY OF THE USC GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Fulfillment of the Requirements for the Degree DOCTOR OF PHILOSOPHY (COMPUTER SCIENCE) August 2012 Copyright 2012 Thomas Tan |
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