Software Classification Using Structure-Based Descriptors

With the huge increase of software functionalities, sizes and application domain, the difficulty of categorizing and classifying software packages for reuse and maintenance purposes is on demand. Building automatic classification mechanism will help to save the budget, time, and the efforts of the...

Full description

Saved in:

Bibliographic Details
Main Author:	Ramadan, Qusai Hussein
Format:	Thesis
Language:	eng eng
Published:	2009
Subjects:	QA76 Computer software
Online Access:	https://etd.uum.edu.my/2043/1/Qusai_Hussein_Ramadan.pdf https://etd.uum.edu.my/2043/2/1.Qusai_Hussein_Ramadan.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-uum-etd.2043
record_format	uketd_dc
spelling	my-uum-etd.20432013-07-24T12:14:08Z Software Classification Using Structure-Based Descriptors 2009 Ramadan, Qusai Hussein Yusof, Yuhanis College of Arts and Sciences (CAS) College of Arts and Sciences QA76 Computer software With the huge increase of software functionalities, sizes and application domain, the difficulty of categorizing and classifying software packages for reuse and maintenance purposes is on demand. Building automatic classification mechanism will help to save the budget, time, and the efforts of the organizations, especially the administrators of software repositories. This work includes the use of structure information contained in source code programs to automate program classification. Three software metrics namely; LOC, MVG and WMCl have been extracted from programs of category board and puzzle obtained from SourceForge.net. A total of 2800 programs have been used during the training process while two different datasets of size (28) were used for testing. Based on the undertaken experiment, the IBK algorithm is noted to generate the highest classification accuracy (74.8%) compared to several other algorithms provided in the Weka tool. The study also shows that board programs are written in different structure compared to the puzzle programs. Hence, showing that structure information can be used to classify programs into application domain. 2009 Thesis https://etd.uum.edu.my/2043/ https://etd.uum.edu.my/2043/1/Qusai_Hussein_Ramadan.pdf application/pdf eng validuser https://etd.uum.edu.my/2043/2/1.Qusai_Hussein_Ramadan.pdf application/pdf eng public masters masters Universiti Utara Malaysia
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
advisor	Yusof, Yuhanis
topic	QA76 Computer software
spellingShingle	QA76 Computer software Ramadan, Qusai Hussein Software Classification Using Structure-Based Descriptors
description	With the huge increase of software functionalities, sizes and application domain, the difficulty of categorizing and classifying software packages for reuse and maintenance purposes is on demand. Building automatic classification mechanism will help to save the budget, time, and the efforts of the organizations, especially the administrators of software repositories. This work includes the use of structure information contained in source code programs to automate program classification. Three software metrics namely; LOC, MVG and WMCl have been extracted from programs of category board and puzzle obtained from SourceForge.net. A total of 2800 programs have been used during the training process while two different datasets of size (28) were used for testing. Based on the undertaken experiment, the IBK algorithm is noted to generate the highest classification accuracy (74.8%) compared to several other algorithms provided in the Weka tool. The study also shows that board programs are written in different structure compared to the puzzle programs. Hence, showing that structure information can be used to classify programs into application domain.
format	Thesis
qualification_name	masters
qualification_level	Master's degree
author	Ramadan, Qusai Hussein
author_facet	Ramadan, Qusai Hussein
author_sort	Ramadan, Qusai Hussein
title	Software Classification Using Structure-Based Descriptors
title_short	Software Classification Using Structure-Based Descriptors
title_full	Software Classification Using Structure-Based Descriptors
title_fullStr	Software Classification Using Structure-Based Descriptors
title_full_unstemmed	Software Classification Using Structure-Based Descriptors
title_sort	software classification using structure-based descriptors
granting_institution	Universiti Utara Malaysia
granting_department	College of Arts and Sciences (CAS)
publishDate	2009
url	https://etd.uum.edu.my/2043/1/Qusai_Hussein_Ramadan.pdf https://etd.uum.edu.my/2043/2/1.Qusai_Hussein_Ramadan.pdf
_version_	1747827251081117696

Software Classification Using Structure-Based Descriptors

Similar Items