Prediction of Undetected Faults in Safety-Critical Software

Johan Sundell, Richard Torkar, K. Lundqvist, H. Forsberg
{"title":"Prediction of Undetected Faults in Safety-Critical Software","authors":"Johan Sundell, Richard Torkar, K. Lundqvist, H. Forsberg","doi":"10.1109/ICSTW.2019.00069","DOIUrl":null,"url":null,"abstract":"Safety-critical software systems need to meet exceptionally strict standards in terms of dependability. Best practice to achieve this is to follow and develop the software according to domain specific standards. These standards give guidelines on development and testing activities. The challenge is that even if you follow the steps of the appropriate standard you have no quantification of the amount of faults potentially still lingering in the system. This paper presents a way to statistically estimate the amount of undetected faults, based on test results.","PeriodicalId":310230,"journal":{"name":"2019 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)","volume":"170 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSTW.2019.00069","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Safety-critical software systems need to meet exceptionally strict standards in terms of dependability. Best practice to achieve this is to follow and develop the software according to domain specific standards. These standards give guidelines on development and testing activities. The challenge is that even if you follow the steps of the appropriate standard you have no quantification of the amount of faults potentially still lingering in the system. This paper presents a way to statistically estimate the amount of undetected faults, based on test results.
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
安全关键软件中未发现故障的预测
安全关键型软件系统需要在可靠性方面满足异常严格的标准。实现这一目标的最佳实践是遵循并根据特定领域的标准开发软件。这些标准给出了开发和测试活动的指导方针。挑战在于,即使您遵循了适当标准的步骤,您也无法量化系统中仍然存在的潜在故障的数量。本文提出了一种基于测试结果统计估计未检测故障数量的方法。
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
Applying Combinatorial Testing to Large-Scale Data Processing at Adobe Crucial Tool Features for Successful Combinatorial Input Parameter Testing in an Industrial Application Practical Combinatorial Testing for XSS Detection using Locally Optimized Attack Models Learning to Restrict Test Range for Compiler Test Estimating the Number of Equivalent Mutants
×
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