可视化技术支持汽车工业中分布式嵌入式系统的故障定位

F. D. O. Neto, Michael Jones, R. Martins
{"title":"可视化技术支持汽车工业中分布式嵌入式系统的故障定位","authors":"F. D. O. Neto, Michael Jones, R. Martins","doi":"10.1109/ISSREW.2018.00-21","DOIUrl":null,"url":null,"abstract":"This paper presents the design, development and evaluation of a software tool to assist the localisation of root causes of test case failures in distributed embedded systems, specifically vehicle systems controlled by a network of electronic control units (ECUs). We use data visualising to provide sensible information from a large number of test execution logs from large-scale software integration testing under a continuous integration process. Our goal is to allow more efficient root-cause identification of failures and foster a continuous feedback loop in the fault localisation process. We evaluate our solution in-situ at the Research and Development division of Volvo Car Corporation (VCC). Our prototype helps the failure debugging procedures by presenting clear and concise data and by allowing stakeholders to filter and control which information is displayed. Moreover, it encourages a systematic and continuous analysis of the current state of testing by aggregating and categorising historical data from test harnesses to identify patterns and trends in test results.","PeriodicalId":321448,"journal":{"name":"2018 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Visualisation to Support Fault Localisation in Distributed Embedded Systems within the Automotive Industry\",\"authors\":\"F. D. O. Neto, Michael Jones, R. Martins\",\"doi\":\"10.1109/ISSREW.2018.00-21\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the design, development and evaluation of a software tool to assist the localisation of root causes of test case failures in distributed embedded systems, specifically vehicle systems controlled by a network of electronic control units (ECUs). We use data visualising to provide sensible information from a large number of test execution logs from large-scale software integration testing under a continuous integration process. Our goal is to allow more efficient root-cause identification of failures and foster a continuous feedback loop in the fault localisation process. We evaluate our solution in-situ at the Research and Development division of Volvo Car Corporation (VCC). Our prototype helps the failure debugging procedures by presenting clear and concise data and by allowing stakeholders to filter and control which information is displayed. Moreover, it encourages a systematic and continuous analysis of the current state of testing by aggregating and categorising historical data from test harnesses to identify patterns and trends in test results.\",\"PeriodicalId\":321448,\"journal\":{\"name\":\"2018 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)\",\"volume\":\"114 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSREW.2018.00-21\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSREW.2018.00-21","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

本文介绍了一个软件工具的设计、开发和评估,以帮助定位分布式嵌入式系统中测试用例失败的根本原因,特别是由电子控制单元(ecu)网络控制的车辆系统。我们使用数据可视化来从持续集成过程中大规模软件集成测试的大量测试执行日志中提供有意义的信息。我们的目标是允许更有效地识别故障的根本原因,并在故障定位过程中培养连续的反馈循环。我们在沃尔沃汽车公司(VCC)的研发部门实地评估了我们的解决方案。我们的原型通过提供清晰简洁的数据,并允许涉众过滤和控制显示的信息,帮助故障调试过程。此外,它鼓励通过汇总和分类来自测试工具的历史数据来识别测试结果中的模式和趋势,从而对测试的当前状态进行系统和持续的分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visualisation to Support Fault Localisation in Distributed Embedded Systems within the Automotive Industry
This paper presents the design, development and evaluation of a software tool to assist the localisation of root causes of test case failures in distributed embedded systems, specifically vehicle systems controlled by a network of electronic control units (ECUs). We use data visualising to provide sensible information from a large number of test execution logs from large-scale software integration testing under a continuous integration process. Our goal is to allow more efficient root-cause identification of failures and foster a continuous feedback loop in the fault localisation process. We evaluate our solution in-situ at the Research and Development division of Volvo Car Corporation (VCC). Our prototype helps the failure debugging procedures by presenting clear and concise data and by allowing stakeholders to filter and control which information is displayed. Moreover, it encourages a systematic and continuous analysis of the current state of testing by aggregating and categorising historical data from test harnesses to identify patterns and trends in test results.
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