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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| Format: | Thesis |
| Language: | en en |
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2009
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| 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 https://etd.uum.edu.my/2043/ |
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| _version_ | 1833435777031208960 |
|---|---|
| author | Ramadan, Qusai Hussein |
| author_facet | Ramadan, Qusai Hussein |
| author_sort | Ramadan, Qusai Hussein |
| building | UUM Library |
| collection | Institutional Repository |
| content_provider | Universiti Utara Malaysia |
| content_source | UUM Electronic Theses |
| continent | Asia |
| country | Malaysia |
| 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 |
| id | my.uum.etd-2043 |
| institution | Universiti Utara Malaysia |
| language | en en |
| publishDate | 2009 |
| record_format | eprints |
| spelling | my.uum.etd-20432013-07-24T12:14:08Z https://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 https://etd.uum.edu.my/2043/1/Qusai_Hussein_Ramadan.pdf application/pdf en https://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. |
| spellingShingle | QA76 Computer software Ramadan, Qusai Hussein Software Classification Using Structure-Based Descriptors |
| title | 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_short | Software Classification Using Structure-Based Descriptors |
| title_sort | software classification using structure-based descriptors |
| topic | QA76 Computer software |
| url | https://etd.uum.edu.my/2043/1/Qusai_Hussein_Ramadan.pdf https://etd.uum.edu.my/2043/2/1.Qusai_Hussein_Ramadan.pdf https://etd.uum.edu.my/2043/ |
| url_provider | http://etd.uum.edu.my/ |