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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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Advanced Institutes of Convergence Information Technology
2013
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Online Access: | https://repo.uum.edu.my/id/eprint/15353/1/b119a.pdf |
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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 |