A framework of classifying maintenance requests based on learning techniques
Classify maintenance request is one of the processes in the large software system to support maintainers in doing their daily maintenance tasks more effectively. Categorizing these maintenance requests are an essential requirement in managing the maintenance request for software maintainer and need...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2010
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| Online Access: | http://psasir.upm.edu.my/id/eprint/69148/1/A%20framework%20of%20classifying%20maintenance%20requests%20based%20on%20learning%20techniques.pdf |
| _version_ | 1825933663837093888 |
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| author | Mahmoodian, Naghmeh Abdullah, Rusli Azmi Murad, Masrah Azrifah |
| author_facet | Mahmoodian, Naghmeh Abdullah, Rusli Azmi Murad, Masrah Azrifah |
| author_sort | Mahmoodian, Naghmeh |
| collection | UPM |
| description | Classify maintenance request is one of the processes in the large software system to support maintainers in doing their daily maintenance tasks more effectively. Categorizing these maintenance requests are an essential requirement in managing the maintenance request for software maintainer and need a great effort as well as determining classification. Hence, this paper presents the framework from the use of three different classification approaches, namely Bayesian model Decision Tree and Logistic regression. We show that naïve Bayesian classifier, Decision Tree and Logistic regression can be used to accurately classify issues into maintenance type. |
| first_indexed | 2024-03-06T10:00:49Z |
| format | Conference or Workshop Item |
| id | upm.eprints-69148 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T10:00:49Z |
| publishDate | 2010 |
| publisher | IEEE |
| record_format | dspace |
| spelling | upm.eprints-691482019-06-12T07:35:54Z http://psasir.upm.edu.my/id/eprint/69148/ A framework of classifying maintenance requests based on learning techniques Mahmoodian, Naghmeh Abdullah, Rusli Azmi Murad, Masrah Azrifah Classify maintenance request is one of the processes in the large software system to support maintainers in doing their daily maintenance tasks more effectively. Categorizing these maintenance requests are an essential requirement in managing the maintenance request for software maintainer and need a great effort as well as determining classification. Hence, this paper presents the framework from the use of three different classification approaches, namely Bayesian model Decision Tree and Logistic regression. We show that naïve Bayesian classifier, Decision Tree and Logistic regression can be used to accurately classify issues into maintenance type. IEEE 2010 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/69148/1/A%20framework%20of%20classifying%20maintenance%20requests%20based%20on%20learning%20techniques.pdf Mahmoodian, Naghmeh and Abdullah, Rusli and Azmi Murad, Masrah Azrifah (2010) A framework of classifying maintenance requests based on learning techniques. In: 2010 International Conference on Information Retrieval and Knowledge Management (CAMP'10), 17-18 Mar. 2010, Shah Alam Convention Centre, Shah Alam. (pp. 245-249). 10.1109/INFRKM.2010.5466908 |
| spellingShingle | Mahmoodian, Naghmeh Abdullah, Rusli Azmi Murad, Masrah Azrifah A framework of classifying maintenance requests based on learning techniques |
| title | A framework of classifying maintenance requests based on learning techniques |
| title_full | A framework of classifying maintenance requests based on learning techniques |
| title_fullStr | A framework of classifying maintenance requests based on learning techniques |
| title_full_unstemmed | A framework of classifying maintenance requests based on learning techniques |
| title_short | A framework of classifying maintenance requests based on learning techniques |
| title_sort | framework of classifying maintenance requests based on learning techniques |
| url | http://psasir.upm.edu.my/id/eprint/69148/1/A%20framework%20of%20classifying%20maintenance%20requests%20based%20on%20learning%20techniques.pdf |
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