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Filter-wrapper based feature ranking technique for dynamic software quality attributes


Kamaruddin, Siti Sakira and Yahaya, Jamaiah and Deraman, Aziz and Ahmad, Ruzita (2012) Filter-wrapper based feature ranking technique for dynamic software quality attributes. In: Knowledge Management International Conference (KMICe) 2012, 4 – 6 July 2012, Johor Bahru, Malaysia.

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Abstract

This article presents a filter-wrapper based feature ranking technique that is able to learn and rank quality attributes according to new cases of software quality assessment data.The proposed feature ranking technique consists of a scoring method named Most Priority of Feature (MPF) and a learning algorithm to learn the software quality attribute weights. The existing ranking techniques do not address the issue of redundancy in ranking the software quality attributes. Our proposed technique resolves the redundancy issue by using classifiers to choose attributes that shows high classification accuracy. Experimental result indicates that our technique outperforms other similar technique and correlates better with human experts.

Item Type: Conference or Workshop Item (Paper)
Additional Information: ISBN: 9789832078661 Organized by: UUM College of Art & Sciences, Universiti Utara Malaysia
Uncontrolled Keywords: Software quality assessment model; feature ranking technique; Dynamic software quality attribute ranking.
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: College of Arts and Sciences
Depositing User: Dr. Siti Sakira Kamaruddin
Date Deposited: 04 May 2014 03:11
Last Modified: 25 May 2015 02:07
URI: http://repo.uum.edu.my/id/eprint/10915

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