RSLingo: An information extraction approach toward formal requirements specifications

D. Ferreira, A. Silva
{"title":"RSLingo: An information extraction approach toward formal requirements specifications","authors":"D. Ferreira, A. Silva","doi":"10.1109/MoDRE.2012.6360073","DOIUrl":null,"url":null,"abstract":"Requirements Engineering (RE) is about achieving a shared understanding about the software system to be built. No withstanding the importance of other RE activities, requirements specification deserves special attention due to its documentation purposes: to communicate requirements, someone has to write them down. In this paper we present RSLingo, a linguistic approach for improving the quality of requirements specifications, which is based on two languages and the mapping between them: RSL-PL, an extensible language for dealing with information extraction from requirements written in natural language; and RSL-IL, a formal language with a fixed set of constructs for representing and conveying RE-specific concerns. Contrarily to other approaches, this decoupling allows one to deal with requirements as “white-box” items, enabling a deeper understanding at a semantic level. Thus, RSLingo enables the automation of some verification tasks that prevent common requirements quality problems and lays the foundation to better integrate RE with the Model-Driven Engineering paradigm through transformations of requirements representations into design models.","PeriodicalId":371902,"journal":{"name":"Model-Driven Requirements Engineering Workshop","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"55","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Model-Driven Requirements Engineering Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MoDRE.2012.6360073","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 55

Abstract

Requirements Engineering (RE) is about achieving a shared understanding about the software system to be built. No withstanding the importance of other RE activities, requirements specification deserves special attention due to its documentation purposes: to communicate requirements, someone has to write them down. In this paper we present RSLingo, a linguistic approach for improving the quality of requirements specifications, which is based on two languages and the mapping between them: RSL-PL, an extensible language for dealing with information extraction from requirements written in natural language; and RSL-IL, a formal language with a fixed set of constructs for representing and conveying RE-specific concerns. Contrarily to other approaches, this decoupling allows one to deal with requirements as “white-box” items, enabling a deeper understanding at a semantic level. Thus, RSLingo enables the automation of some verification tasks that prevent common requirements quality problems and lays the foundation to better integrate RE with the Model-Driven Engineering paradigm through transformations of requirements representations into design models.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
RSLingo:一种面向正式需求规范的信息提取方法
需求工程(RE)是关于实现对要构建的软件系统的共同理解。尽管其他RE活动很重要,但需求规范由于其文档目的而值得特别关注:为了沟通需求,必须有人把它们写下来。在本文中,我们提出了RSLingo,一种用于提高需求规范质量的语言方法,它基于两种语言以及它们之间的映射:RSL-PL,一种用于从用自然语言编写的需求中提取信息的可扩展语言;RSL-IL是一种形式语言,具有一组固定的结构,用于表示和传达re特定的关注点。与其他方法相反,这种解耦允许人们将需求作为“白盒”项来处理,从而在语义级别上实现更深层次的理解。因此,RSLingo支持一些验证任务的自动化,以防止常见的需求质量问题,并通过将需求表示转换为设计模型,为更好地将可再生能源与模型驱动工程范例集成奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
RSLingo: An information extraction approach toward formal requirements specifications
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1