动态软件质量评估的特征子集选择方法

S. S. Kamaruddin, A. Deraman, J. Yahaya, Ruzita Ahmad
{"title":"动态软件质量评估的特征子集选择方法","authors":"S. S. Kamaruddin, A. Deraman, J. Yahaya, Ruzita Ahmad","doi":"10.1109/MYSEC.2011.6140688","DOIUrl":null,"url":null,"abstract":"This article presents a feature subset selection method for the purpose of selecting the appropriate attributes for software quality assessment. The existing software quality assessment models do not support dynamic assessment. In dynamic software quality assessment, new quality attributes can be added to the model as they emerge. Therefore, this work focuses on the development of an intelligent method that is able to learn and adapt new quality attributes into the model to establish dynamic software quality assessment","PeriodicalId":137714,"journal":{"name":"2011 Malaysian Conference in Software Engineering","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Feature subset selection method for dynamic software quality assessment\",\"authors\":\"S. S. Kamaruddin, A. Deraman, J. Yahaya, Ruzita Ahmad\",\"doi\":\"10.1109/MYSEC.2011.6140688\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article presents a feature subset selection method for the purpose of selecting the appropriate attributes for software quality assessment. The existing software quality assessment models do not support dynamic assessment. In dynamic software quality assessment, new quality attributes can be added to the model as they emerge. Therefore, this work focuses on the development of an intelligent method that is able to learn and adapt new quality attributes into the model to establish dynamic software quality assessment\",\"PeriodicalId\":137714,\"journal\":{\"name\":\"2011 Malaysian Conference in Software Engineering\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Malaysian Conference in Software Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MYSEC.2011.6140688\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Malaysian Conference in Software Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MYSEC.2011.6140688","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

本文提出了一种特征子集选择方法,用于为软件质量评估选择适当的属性。现有的软件质量评估模型不支持动态评估。在动态软件质量评估中,新的质量属性可以在出现时添加到模型中。因此,本工作的重点是开发一种能够学习和适应新的质量属性到模型中的智能方法,以建立动态的软件质量评估
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Feature subset selection method for dynamic software quality assessment
This article presents a feature subset selection method for the purpose of selecting the appropriate attributes for software quality assessment. The existing software quality assessment models do not support dynamic assessment. In dynamic software quality assessment, new quality attributes can be added to the model as they emerge. Therefore, this work focuses on the development of an intelligent method that is able to learn and adapt new quality attributes into the model to establish dynamic software quality assessment
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信