Intelligent software quality model using feature ranking technique

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...

Full description

Bibliographic Details
Main Authors: Yahaya, Jamaiah, Deraman, Aziz, Kamaruddin, Siti Sakira, Ahmad, Ruzita
Format: Article
Language:English
Published: Advanced Institutes of Convergence Information Technology 2013
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/15353/1/b119a.pdf
_version_ 1825803522294153216
author Yahaya, Jamaiah
Deraman, Aziz
Kamaruddin, Siti Sakira
Ahmad, Ruzita
author_facet Yahaya, Jamaiah
Deraman, Aziz
Kamaruddin, Siti Sakira
Ahmad, Ruzita
author_sort Yahaya, Jamaiah
collection UUM
description 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.
first_indexed 2024-07-04T05:58:29Z
format Article
id uum-15353
institution Universiti Utara Malaysia
language English
last_indexed 2024-07-04T05:58:29Z
publishDate 2013
publisher Advanced Institutes of Convergence Information Technology
record_format eprints
spelling uum-153532016-12-06T07:43:49Z https://repo.uum.edu.my/id/eprint/15353/ Intelligent software quality model using feature ranking technique Yahaya, Jamaiah Deraman, Aziz Kamaruddin, Siti Sakira Ahmad, Ruzita QA76 Computer software 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. Advanced Institutes of Convergence Information Technology 2013-09 Article PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/15353/1/b119a.pdf 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 http://www.globalcis.org/ijact/home/index.html
spellingShingle QA76 Computer software
Yahaya, Jamaiah
Deraman, Aziz
Kamaruddin, Siti Sakira
Ahmad, Ruzita
Intelligent software quality model using feature ranking technique
title Intelligent software quality model using feature ranking technique
title_full Intelligent software quality model using feature ranking technique
title_fullStr Intelligent software quality model using feature ranking technique
title_full_unstemmed Intelligent software quality model using feature ranking technique
title_short Intelligent software quality model using feature ranking technique
title_sort intelligent software quality model using feature ranking technique
topic QA76 Computer software
url https://repo.uum.edu.my/id/eprint/15353/1/b119a.pdf
work_keys_str_mv AT yahayajamaiah intelligentsoftwarequalitymodelusingfeaturerankingtechnique
AT deramanaziz intelligentsoftwarequalitymodelusingfeaturerankingtechnique
AT kamaruddinsitisakira intelligentsoftwarequalitymodelusingfeaturerankingtechnique
AT ahmadruzita intelligentsoftwarequalitymodelusingfeaturerankingtechnique