Note
College of Engineering and Computer Science
Member of
Contributors
Publisher
Florida Atlantic University
Date Issued
2007
EDTF Date Created
2007
Description
The software development process is an incremental and iterative activity.
Source code is constantly altered to reflect changing requirements, to respond to
testing results, and to address problem reports. Proper software measurement that
derives meaningful numeric values for some attributes of a software product or
process can help in identifying problem areas and development bottlenecks. Impact
analysis is the evaluation of the risks associated with change requests or problem
reports, including estimates of effects on resources, effort, and schedule. This thesis
presents a methodology called VITA for applying software analysis techniques to
configuration management repository data with the aim of identifying the impact on
file changes due to change requests and problem reports. The repository data can be
analyzed and visualized in a semi-automated manner according to user-selectable
criteria. The approach is illustrated with a model problem concerning software
process improvement of an embedded software system in the context of performing
high-quality software maintenance.
Source code is constantly altered to reflect changing requirements, to respond to
testing results, and to address problem reports. Proper software measurement that
derives meaningful numeric values for some attributes of a software product or
process can help in identifying problem areas and development bottlenecks. Impact
analysis is the evaluation of the risks associated with change requests or problem
reports, including estimates of effects on resources, effort, and schedule. This thesis
presents a methodology called VITA for applying software analysis techniques to
configuration management repository data with the aim of identifying the impact on
file changes due to change requests and problem reports. The repository data can be
analyzed and visualized in a semi-automated manner according to user-selectable
criteria. The approach is illustrated with a model problem concerning software
process improvement of an embedded software system in the context of performing
high-quality software maintenance.
Language
Type
Form
Extent
124 p.
Subject (Topical)
Identifier
FA00012535
Additional Information
College of Engineering and Computer Science
Thesis (M.S.)--Florida Atlantic University, 2007.
FAU Electronic Theses and Dissertations Collection
Date Backup
2007
Date Created Backup
2007
Date Text
2007
Date Created (EDTF)
2007
Date Issued (EDTF)
2007
Extension
FAU
IID
FA00012535
Organizations
Attributed name: Florida Atlantic University
Attributed name: College of Engineering and Computer Science
Person Preferred Name
Lo, Christopher Hoi-Yin
Graduate College
Physical Description
application/pdf
124 p.
Title Plain
Visualization of Impact Analysis on Configuration Management Data for Software Process Improvement
Use and Reproduction
Copyright © is held by the author with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
http://rightsstatements.org/vocab/InC/1.0/
Origin Information
2007
2007
Florida Atlantic University
Boca Raton, Fla.
Physical Location
Florida Atlantic University Libraries
Place
Boca Raton, Fla.
Sub Location
Digital Library
Title
Visualization of Impact Analysis on Configuration Management Data for Software Process Improvement
Other Title Info
Visualization of Impact Analysis on Configuration Management Data for Software Process Improvement