A Replication Package for It Takes Two to Tango: Combining Visual and Textual Information for Detecting Duplicate Video-Based Bug Reports

2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) Pub Date : 2021-05-01 DOI:10.1109/ICSE-Companion52605.2021.00067

Nathan Cooper, Carlos Bernal-Cárdenas, Oscar Chaparro, Kevin Moran, D. Poshyvanyk

{"title":"A Replication Package for It Takes Two to Tango: Combining Visual and Textual Information for Detecting Duplicate Video-Based Bug Reports","authors":"Nathan Cooper, Carlos Bernal-Cárdenas, Oscar Chaparro, Kevin Moran, D. Poshyvanyk","doi":"10.1109/ICSE-Companion52605.2021.00067","DOIUrl":null,"url":null,"abstract":"When a bug manifests in a user-facing application, it is likely to be exposed through the graphical user interface (GUI). Given the importance of visual information to the process of identifying and understanding such bugs, users are increasingly making use of screenshots and screen-recordings as a means to report issues to developers. Due to their graphical nature, screen-recordings present challenges for automated analysis that preclude the use of current duplicate bug report detection techniques. This paper describes in detail our reproduction package artifact for TANGO, a duplicate detection technique that operates purely on video-based bug reports by leveraging both visual and textual information to overcome these challenges and aid developers in this task. Specifically, this reproduction package contains the data and code that enables our TANGO’s empirical evaluation replication and future research in the area of duplicate video-based bug report detection.","PeriodicalId":136929,"journal":{"name":"2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSE-Companion52605.2021.00067","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 2

Abstract

When a bug manifests in a user-facing application, it is likely to be exposed through the graphical user interface (GUI). Given the importance of visual information to the process of identifying and understanding such bugs, users are increasingly making use of screenshots and screen-recordings as a means to report issues to developers. Due to their graphical nature, screen-recordings present challenges for automated analysis that preclude the use of current duplicate bug report detection techniques. This paper describes in detail our reproduction package artifact for TANGO, a duplicate detection technique that operates purely on video-based bug reports by leveraging both visual and textual information to overcome these challenges and aid developers in this task. Specifically, this reproduction package contains the data and code that enables our TANGO’s empirical evaluation replication and future research in the area of duplicate video-based bug report detection.

查看原文本刊更多论文

一个用于探戈需要两个人的复制包:结合视觉和文本信息来检测重复的基于视频的Bug报告

当在面向用户的应用程序中出现错误时，它很可能通过图形用户界面(GUI)暴露出来。考虑到视觉信息在识别和理解这些bug过程中的重要性，用户越来越多地使用截图和屏幕记录作为向开发人员报告问题的一种手段。由于它们的图形特性，屏幕记录为自动分析提出了挑战，这就排除了使用当前的重复错误报告检测技术。本文详细描述了TANGO的复制包工件，这是一种复制检测技术，通过利用视觉和文本信息来克服这些挑战并帮助开发人员完成这项任务，从而完全基于视频的错误报告进行操作。具体来说，这个复制包包含数据和代码，这些数据和代码使我们的TANGO的经验评估复制和未来在基于重复视频的错误报告检测领域的研究成为可能。

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分钟内获得全文求助全文

来源期刊

2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)

自引率

0.00%

发文量