UUM Electronic Theses and Dissertation
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Software Classification Using Structure-Based Descriptors

Ramadan, Qusai Hussein (2009) Software Classification Using Structure-Based Descriptors. Masters thesis, Universiti Utara Malaysia.

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Abstract

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.

Item Type: Thesis (Masters)
Supervisor : Yusof, Yuhanis
Item ID: 2043
Uncontrolled Keywords: Software Categorization, Software Classification, Software Packages
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: College of Arts and Sciences (CAS)
Date Deposited: 09 Aug 2010 02:59
Last Modified: 24 Jul 2013 12:14
Department: College of Arts and Sciences
Name: Yusof, Yuhanis
URI: https://etd.uum.edu.my/id/eprint/2043

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