Yahaya, Jamaiah and Deraman, Aziz and Kamaruddin, Siti Sakira and Ahmad, Ruzita (2013) Intelligent software quality model using feature ranking technique. International Journal of Advancements in Computing Technology (IJACT), 5 (13). pp. 80-88. ISSN 2233-9337

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Abstract

This paper presents an intelligent software quality model using feature ranking technique for the purpose of dynamically selecting the appropriate attributes for software quality assessment.The existing software quality models only support static set of attributes and do not include the dynamic and intelligent attributes selection process.The model also known as i-PQF has a capability to learn from previous experience.The proposed feature ranking technique (FRT) adopts both the filter and wrapper approach to learn and rank quality attributes as new software quality assessment data are added to the database.A ranking model named Most Priority of Features (MPF) is introduced to perform the ranking.The issue of redundancy during ranking is addressed using classifiers that are able to learn the most suitable attributes from existing data. Evaluation of the proposed technique is performed through comparison with similar technique in the area and the results shows that our technique performs better in terms of correlation to human judgment.

Item Type:	Article
Uncontrolled Keywords:	Software Quality Model, Feature Ranking Technique, Intelligent Software Quality Model,i-PQF
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Divisions:	College of Arts and Sciences
Depositing User:	Dr. Jamaiah Haji Yahaya
Date Deposited:	02 Sep 2015 01:06
Last Modified:	06 Dec 2016 07:43
URI:	https://repo.uum.edu.my/id/eprint/15353

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