Note
College of Engineering and Computer Science
Member of
Contributors
Publisher
Florida Atlantic University
Date Issued
2001
Description
Maintaining superior quality and reliability in software systems is of utmost importance in today's world. Early fault prediction is a proven method for achieving this. Tree based modelling is a simple and effective method that can be used to predict the number of faults in a software system. In this thesis, we use regression tree based modelling to predict the number of faults in a software module. The goal of this study is four-fold. First, a comparative study of the tree based modelling tools CART and S-PLUS. CART yielded simpler regression trees than those built by S-PLUS. Second, a comparative study of the least squares and the least absolute deviation methods of CART. It is shown that the latter yielded better results than the former. Third, a study of the possible benefits of using principal components analysis when performing regression tree modelling. The fourth and final study is a comparison of tree based modelling with other prediction techniques namely, Case Based Reasoning, Artificial Neural Networks and Multiple Linear Regression.
Language
Type
Form
Extent
181 p.
Subject (Topical)
Identifier
9780493205113
ISBN
9780493205113
Additional Information
College of Engineering and Computer Science
FAU Electronic Theses and Dissertations Collection
Thesis (M.S.)--Florida Atlantic University, 2001.
Date Backup
2001
Date Text
2001
Date Issued (EDTF)
2001
Extension
FAU
FAU
admin_unit="FAU01", ingest_id="ing1508", creator="staff:fcllz", creation_date="2007-07-18 21:52:41", modified_by="staff:fcllz", modification_date="2011-01-06 13:08:49"
IID
FADT12782
Issuance
monographic
Organizations
Attributed name: Florida Atlantic University
Attributed name: College of Engineering and Computer Science
Person Preferred Name
Seliya, Naeem A.
Graduate College
Physical Description
181 p.
application/pdf
Title Plain
Software fault prediction using tree-based models
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
2001
monographic
Boca Raton, Fla.
Florida Atlantic University
Physical Location
Florida Atlantic University Libraries
Place
Boca Raton, Fla.
Sub Location
Digital Library
Title
Software fault prediction using tree-based models
Other Title Info
Software fault prediction using tree-based models