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IMPROVED SIZE AND EFFORT ESTIMATION MODELS
FOR SOFTWARE MAINTENANCE
by
Vu Nguyen
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)
December 2010
Copyright 2010 Vu Nguyen
Object Description
| Title | Improved size and effort estimation models for software maintenance |
| Author | Nguyen, Vu |
| Author email | nguyenvu@usc.edu; vuqn@yahoo.com |
| Degree | Doctor of Philosophy |
| Document type | Dissertation |
| Degree program | Computer Science (Software Engineering) |
| School | Viterbi School of Engineering |
| Date submitted | 2010 |
| Restricted until | Unrestricted |
| Date published | 2010-12-02 |
| Advisor (committee chair) | Boehm, Barry |
| Advisor (committee member) |
Steece, Bert Medvidović, Nenad |
| Abstract | Accurately estimating the cost of software projects is one of the most desired capabilities in software development organizations. Accurate cost estimates not only help the customer make successful investments but also assist the software project manager in coming up with appropriate plans for the project and making reasonable decisions during the project execution. Although there have been reports that software maintenance accounts for the majority of the software total cost, the software estimation research has focused considerably on new development and much less on maintenance.; In this dissertation, an extension to the well-known model for software estimation, COCOMO II, is introduced for better determining the size of maintained software and improving the effort estimation accuracy of software maintenance. While COCOMO II emphasizes the cost estimation of software development, the extension captures various characteristics of software maintenance through a number of enhancements to the COCOMO II size and effort estimation models to support the cost estimation of software maintenance.; Expert input and an industry data set of eighty completed software maintenance projects from three software organizations were used to build the model. A number of models were derived through various calibration approaches, and these models were then evaluated using the industry data set. The full model, which was derived through the Bayesian analysis, yields effort estimates within 30% of the actuals 51% of the time, outperforming the original COCOMO II model when it was used to estimate these projects by 34%. Further performance improvement was obtained when calibrating the full model to each individual program, generating effort estimates within 30% of the actuals 80% of the time. |
| Keyword | software estimation; software sizing method; COCOMO; software maintenance; COCOMO for software maintenance; constrained regression |
| 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-m3574 |
| Rights | Nguyen, Vu |
| Repository name | Libraries, University of Southern California |
| Repository address | Los Angeles, California |
| Repository email | http://www.usc.edu/isd/libraries/services/ask_a_librarian/email/ |
| Filename | etd-Nguyen-4069 |
| Archival file | uscthesesreloadpub_Volume23/etd-Nguyen-4069.pdf |
Description
| Title | Page 1 |
| Full text | IMPROVED SIZE AND EFFORT ESTIMATION MODELS FOR SOFTWARE MAINTENANCE by Vu Nguyen 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) December 2010 Copyright 2010 Vu Nguyen |
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