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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...

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Main Author: Ramadan, Qusai Hussein
Format: Thesis
Language:English
English
Published: 2009
Subjects:
QA76 Computer software
Online Access:http://etd.uum.edu.my/2043/1/Qusai_Hussein_Ramadan.pdf
http://etd.uum.edu.my/2043/2/1.Qusai_Hussein_Ramadan.pdf
http://etd.uum.edu.my/2043/
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spelling my.uum.etd.20432013-07-24T12:14:08Z http://etd.uum.edu.my/2043/ Software Classification Using Structure-Based Descriptors Ramadan, Qusai Hussein 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 NonPeerReviewed application/pdf en http://etd.uum.edu.my/2043/1/Qusai_Hussein_Ramadan.pdf application/pdf en http://etd.uum.edu.my/2043/2/1.Qusai_Hussein_Ramadan.pdf Ramadan, Qusai Hussein (2009) Software Classification Using Structure-Based Descriptors. Masters thesis, Universiti Utara Malaysia.
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Electronic Theses
url_provider http://etd.uum.edu.my/
language English
English
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
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
publishDate 2009
url http://etd.uum.edu.my/2043/1/Qusai_Hussein_Ramadan.pdf
http://etd.uum.edu.my/2043/2/1.Qusai_Hussein_Ramadan.pdf
http://etd.uum.edu.my/2043/
_version_ 1644276574292279296
score 13.211869

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