基于owl的多模型过程改进框架本体结构

Kjis
{"title":"基于owl的多模型过程改进框架本体结构","authors":"Kjis","doi":"10.21608/kjis.2021.22087.1007","DOIUrl":null,"url":null,"abstract":"Software and systems improvement requests to merge various interpretations from several improvement models and techniques. A particular challenge is the multitude of models for requirements and quality, which can get time consuming and error prone to trace, change, and verify. Lately, Ontologies have been used across several domains and for numerous purposes to be applied for many applications. Besides, recent work in Artificial Intelligence is discovering the use of formal ontologies as a way of identifying content-specific agreements for the sharing and reuse of knowledge among software entities. Therefore, this paper describes how ontology engineering is used to construct an Ontological structure of the proposed SPI-CMMI framework –which based on using Six sigma approach integrated with CMMI-Dev model and Quality Function Deployment (QFD) technique- with its progressive phases, related activities, recommended tools and the CMMI-Dev 1.3 representation. The SPI-CMMI Ontology provides a shared improvement terminology, defines precise and unambiguous semantics for the software enterprises and enables reuse of improvement phase’s knowledge; in addition it makes domain assumptions explicit and separate domain knowledge from the operational knowledge.","PeriodicalId":115907,"journal":{"name":"Kafrelsheikh Journal of Information Sciences","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An OWL-Based Ontology Structure for representing Multimodel Process Improvement Framework\",\"authors\":\"Kjis\",\"doi\":\"10.21608/kjis.2021.22087.1007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Software and systems improvement requests to merge various interpretations from several improvement models and techniques. A particular challenge is the multitude of models for requirements and quality, which can get time consuming and error prone to trace, change, and verify. Lately, Ontologies have been used across several domains and for numerous purposes to be applied for many applications. Besides, recent work in Artificial Intelligence is discovering the use of formal ontologies as a way of identifying content-specific agreements for the sharing and reuse of knowledge among software entities. Therefore, this paper describes how ontology engineering is used to construct an Ontological structure of the proposed SPI-CMMI framework –which based on using Six sigma approach integrated with CMMI-Dev model and Quality Function Deployment (QFD) technique- with its progressive phases, related activities, recommended tools and the CMMI-Dev 1.3 representation. The SPI-CMMI Ontology provides a shared improvement terminology, defines precise and unambiguous semantics for the software enterprises and enables reuse of improvement phase’s knowledge; in addition it makes domain assumptions explicit and separate domain knowledge from the operational knowledge.\",\"PeriodicalId\":115907,\"journal\":{\"name\":\"Kafrelsheikh Journal of Information Sciences\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Kafrelsheikh Journal of Information Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21608/kjis.2021.22087.1007\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Kafrelsheikh Journal of Information Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21608/kjis.2021.22087.1007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

软件和系统改进要求合并来自几种改进模型和技术的各种解释。一个特别的挑战是需求和质量的大量模型,这可能会耗费时间,并且容易在跟踪、更改和验证时出错。最近,本体已被用于多个领域,并用于许多应用程序的许多目的。此外,人工智能领域最近的工作是发现使用形式本体作为识别特定于内容的协议的一种方式,以便在软件实体之间共享和重用知识。因此,本文描述了如何使用本体工程来构建所提出的SPI-CMMI框架的本体结构——该框架基于使用集成了CMMI-Dev模型和质量功能部署(QFD)技术的六西格玛方法——及其渐进阶段、相关活动、推荐工具和CMMI-Dev 1.3表示。SPI-CMMI本体提供了一个共享的改进术语,为软件企业定义了精确和明确的语义,并使改进阶段的知识能够重用;此外,它明确了领域假设,并将领域知识与操作知识分离开来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An OWL-Based Ontology Structure for representing Multimodel Process Improvement Framework
Software and systems improvement requests to merge various interpretations from several improvement models and techniques. A particular challenge is the multitude of models for requirements and quality, which can get time consuming and error prone to trace, change, and verify. Lately, Ontologies have been used across several domains and for numerous purposes to be applied for many applications. Besides, recent work in Artificial Intelligence is discovering the use of formal ontologies as a way of identifying content-specific agreements for the sharing and reuse of knowledge among software entities. Therefore, this paper describes how ontology engineering is used to construct an Ontological structure of the proposed SPI-CMMI framework –which based on using Six sigma approach integrated with CMMI-Dev model and Quality Function Deployment (QFD) technique- with its progressive phases, related activities, recommended tools and the CMMI-Dev 1.3 representation. The SPI-CMMI Ontology provides a shared improvement terminology, defines precise and unambiguous semantics for the software enterprises and enables reuse of improvement phase’s knowledge; in addition it makes domain assumptions explicit and separate domain knowledge from the operational knowledge.
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