{"title":"Constraint-based event trace reduction","authors":"Jie Wang","doi":"10.1145/2950290.2983964","DOIUrl":null,"url":null,"abstract":"Various record-replay techniques are developed to facilitate web application debugging. However, it is time-consuming to inspect all recorded events that reveal a failure. To reduce the cost of debugging, delta-debugging and program slicing are used to remove failure-irrelevant events. However, delta-debugging does not scale well for long traces, and program slicing fails to remove irrelevant events that the failure has program dependence on. In this paper, we propose an effective and efficient approach to remove failure-irrelevant events from the event trace. Our approach builds constraints among events and the failure (e.g., a variable can read any of its earlier type-compatible values), to search for a minimal event trace that satisfies these constraints. Our evaluation on 10 real-world web applications shows that our approach can further remove 70% of events in the reduced trace of dynamic slicing, and needs 80% less iterations and 86% less time than delta-debugging.","PeriodicalId":20532,"journal":{"name":"Proceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2950290.2983964","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

Various record-replay techniques are developed to facilitate web application debugging. However, it is time-consuming to inspect all recorded events that reveal a failure. To reduce the cost of debugging, delta-debugging and program slicing are used to remove failure-irrelevant events. However, delta-debugging does not scale well for long traces, and program slicing fails to remove irrelevant events that the failure has program dependence on. In this paper, we propose an effective and efficient approach to remove failure-irrelevant events from the event trace. Our approach builds constraints among events and the failure (e.g., a variable can read any of its earlier type-compatible values), to search for a minimal event trace that satisfies these constraints. Our evaluation on 10 real-world web applications shows that our approach can further remove 70% of events in the reduced trace of dynamic slicing, and needs 80% less iterations and 86% less time than delta-debugging.
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
基于约束的事件跟踪缩减
开发了各种记录重放技术以方便web应用程序调试。然而,检查所有显示故障的记录事件是非常耗时的。为了降低调试成本,使用增量调试和程序切片来去除与故障无关的事件。然而,增量调试不能很好地扩展到长跟踪,并且程序切片不能删除故障与程序依赖的无关事件。在本文中,我们提出了一种从事件跟踪中去除故障无关事件的有效方法。我们的方法在事件和失败之间建立约束(例如,变量可以读取其早期类型兼容的任何值),以搜索满足这些约束的最小事件跟踪。我们对10个真实的web应用程序的评估表明,我们的方法可以在减少的动态切片跟踪中进一步消除70%的事件,并且比增量调试少80%的迭代和86%的时间。
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
Evaluation of fault localization techniques Model, execute, and deploy: answering the hard questions in end-user programming (showcase) Guided code synthesis using deep neural networks Automated change impact analysis between SysML models of requirements and design Sustainable software design
×
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