A framework of classifying maintenance requests based on learning techniques

Citation

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).

Abstract

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.

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Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Computer Science and Information Technology
DOI Number:	https://doi.org/10.1109/INFRKM.2010.5466908
Publisher:	IEEE
Keywords:	Classification; Software maintenance; Type of software maintenance
Depositing User:	Nabilah Mustapa
Date Deposited:	12 Jun 2019 07:35
Last Modified:	12 Jun 2019 07:35
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/INFRKM.2010.5466908
URI:	http://psasir.upm.edu.my/id/eprint/69148
Statistic Details:	View Download Statistic

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