A component-based approach to building formal analysis tools

R. Stirewalt, L. Dillon
{"title":"A component-based approach to building formal analysis tools","authors":"R. Stirewalt, L. Dillon","doi":"10.1109/ICSE.2001.919091","DOIUrl":null,"url":null,"abstract":"Automatic-verification capability tends to be packaged into stand-alone tools, as opposed to components that are easily integrated into a larger software-development environment. Such packaging complicates integration because it involves translating internal representations into a form compatible with the stand-alone tool. By contrast, lightweight-analysis components package analysis capability in a form that does not involve such a translation. Borrowing ideas from GenVoca and object-oriented design patterns, we developed a domain model and an automatic generation framework for lightweight-analysis components. The generated components operate directly over the internal form of a specification without requiring a change in representation. Moreover, the domain model identifies several \"useful subsets\" that can be used to customize analysis capability to a particular application. We validated this domain model by generating lightweight analyzers for temporal logic and the behavioral subset of Lotos.","PeriodicalId":374824,"journal":{"name":"Proceedings of the 23rd International Conference on Software Engineering. ICSE 2001","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"28","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 23rd International Conference on Software Engineering. ICSE 2001","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSE.2001.919091","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 28

Abstract

Automatic-verification capability tends to be packaged into stand-alone tools, as opposed to components that are easily integrated into a larger software-development environment. Such packaging complicates integration because it involves translating internal representations into a form compatible with the stand-alone tool. By contrast, lightweight-analysis components package analysis capability in a form that does not involve such a translation. Borrowing ideas from GenVoca and object-oriented design patterns, we developed a domain model and an automatic generation framework for lightweight-analysis components. The generated components operate directly over the internal form of a specification without requiring a change in representation. Moreover, the domain model identifies several "useful subsets" that can be used to customize analysis capability to a particular application. We validated this domain model by generating lightweight analyzers for temporal logic and the behavioral subset of Lotos.
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
构建形式化分析工具的基于组件的方法
自动验证功能倾向于打包成独立的工具,而不是容易集成到更大的软件开发环境中的组件。这样的打包使集成变得复杂,因为它涉及到将内部表示转换为与独立工具兼容的形式。相比之下,轻量级分析组件以不涉及这种转换的形式打包分析功能。借鉴GenVoca和面向对象设计模式的思想,我们为轻量级分析组件开发了一个领域模型和一个自动生成框架。生成的组件直接在规范的内部形式上操作,而不需要更改表示。此外,领域模型确定了几个“有用的子集”,可用于为特定应用程序定制分析能力。我们通过为Lotos的时间逻辑和行为子集生成轻量级分析器来验证这个领域模型。
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
Maintenance support tools for Java programs: CCFinder and JAAT (W18) 1st workshop on open source software engineering Consistent group membership in ad hoc networks A scalable formal method for design and automatic checking of user interfaces An empirical study of global software development: distance and speed
×
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