A static code analysis tool for control system software

Sreeja Nair, R. Jetley, Anil R. Nair, Stefan Hauck-Stattelmann
{"title":"A static code analysis tool for control system software","authors":"Sreeja Nair, R. Jetley, Anil R. Nair, Stefan Hauck-Stattelmann","doi":"10.1109/SANER.2015.7081856","DOIUrl":null,"url":null,"abstract":"Latent errors in control system software can be hard to detect through traditional testing techniques. Such errors, if left undetected, could manifest themselves as failures during run-time that could be potentially catastrophic and very expensive to fix. In this paper, we present a static code analysis approach to detect potential sources of such run-time errors during compile time itself, thus ensuring easy identification, safe execution and reducing the effort required during debugging. In order to detect run-time errors, the control system application is first parsed to generate a set of abstract syntax trees, which in turn are used to derive the control flow graph for the application. A hybrid algorithm, based on abstract interpretation and traditional data flow analysis techniques is used to check the control flow graph for type constraints, reachability and liveness properties. Additionally, the abstract syntax trees are used to check for datatype mismatches and compliance violations. A proof of concept prototype is implemented to demonstrate how the algorithm/approach can be used to analyze control applications developed using domain specific languages such as those complying with the IEC 61131-3 standard.","PeriodicalId":355949,"journal":{"name":"2015 IEEE 22nd International Conference on Software Analysis, Evolution, and Reengineering (SANER)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 22nd International Conference on Software Analysis, Evolution, and Reengineering (SANER)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SANER.2015.7081856","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15

Abstract

Latent errors in control system software can be hard to detect through traditional testing techniques. Such errors, if left undetected, could manifest themselves as failures during run-time that could be potentially catastrophic and very expensive to fix. In this paper, we present a static code analysis approach to detect potential sources of such run-time errors during compile time itself, thus ensuring easy identification, safe execution and reducing the effort required during debugging. In order to detect run-time errors, the control system application is first parsed to generate a set of abstract syntax trees, which in turn are used to derive the control flow graph for the application. A hybrid algorithm, based on abstract interpretation and traditional data flow analysis techniques is used to check the control flow graph for type constraints, reachability and liveness properties. Additionally, the abstract syntax trees are used to check for datatype mismatches and compliance violations. A proof of concept prototype is implemented to demonstrate how the algorithm/approach can be used to analyze control applications developed using domain specific languages such as those complying with the IEC 61131-3 standard.
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
一个用于控制系统软件的静态代码分析工具
控制系统软件中的潜在错误很难通过传统的测试技术检测出来。这样的错误,如果没有被发现,可能会在运行时表现为失败,这可能是灾难性的,并且修复起来非常昂贵。在本文中,我们提出了一种静态代码分析方法,用于在编译期间检测此类运行时错误的潜在来源,从而确保易于识别,安全执行并减少调试期间所需的工作量。为了检测运行时错误,首先解析控制系统应用程序以生成一组抽象语法树,然后使用这些语法树派生应用程序的控制流图。采用一种基于抽象解释和传统数据流分析技术的混合算法来检验控制流图的类型约束、可达性和活动性。此外,抽象语法树用于检查数据类型不匹配和遵从性违规。实现了概念验证原型,以演示如何使用算法/方法来分析使用特定领域语言(如符合IEC 61131-3标准的语言)开发的控制应用程序。
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
Towards a common metamodel for traces of high performance computing systems to enable software analysis tasks Code coverage and test suite effectiveness: Empirical study with real bugs in large systems Do code review practices impact design quality? A case study of the Qt, VTK, and ITK projects amAssist: In-IDE ambient search of online programming resources GiLA: GitHub label analyzer
×
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