Do Visual Issue Reports Help Developers Fix Bugs? – A Preliminary Study of Using Videos and Images to Report Issues on GitHub –
Issue reports are a pivotal interface between developers and users for receiving information about bugs in their products. In practice, issue reports often have incorrect information or insufficient information to enable bugs to be reproduced, and this has the effect of delaying the entire bug-fixing process. To facilitate their bug-reproduction work, GitHub has provided a new feature that allows users to share videos (e.g., mp4 files.) Using such videos, reports can be made to developers about the details of bugs by recording the symptoms, reproduction steps, and other important aspects of bug information. While such visual issue reports have the potential to significantly improve the bug-fixing process, no studies have empirically exam- ined this impact. In this paper, we conduct a preliminary study to identify the characteristics of visual issue reports by comparing them with non-visual issue reports. We collect 1,230 videos and 18,760 images from 226,286 issues on 4,173 publicly available repositories. Our preliminary analysis shows that issue reports with images are described in fewer words than non-visual issue reports. In addition, we observe that most dis- cussions in visual issue reports are concerned with either conditions for reproduction (e.g., when) or GUI (e.g., pageviewcontroller.)
Tue 17 MayDisplayed time zone: Eastern Time (US & Canada) change
02:00 - 02:50 | Session 11: Debugging 2Research / Early Research Achievements (ERA) / Tool Demonstration at ICPC room Chair(s): Fernanda Madeiral KTH Royal Institute of Technology | ||
02:00 7mTalk | Context-based Cluster Fault Localization Research Junji Yu Chongqing University, Yan Lei School of Big Data & Software Engineering, Chongqing University, Huan Xie Chongqing University, Lingfeng Fu Chongqing University, Chunyan Liu Chongqing University Pre-print Media Attached | ||
02:07 4mTalk | A Study of Single Statement Bugs Involving Dynamic Language Features Early Research Achievements (ERA) Li Sui Massey University, New Zealand, Shawn Rasheed Massey University, Amjed Tahir Massey University, Jens Dietrich Victoria University of Wellington Pre-print Media Attached | ||
02:11 7mTalk | XAI4FL: Enhancing Spectrum-Based Fault Localization with Explainable Artificial Intelligence Research Ratnadira Widyasari Singapore Management University, Singapore, Gede Artha Azriadi Prana Singapore Management University, Stefanus Agus Haryono Singapore Management University, Yuan Tian Queens University, Kingston, Canada, Hafil Noer Zachiary Singapore Management University, David Lo Singapore Management University Pre-print | ||
02:18 4mTalk | Do Visual Issue Reports Help Developers Fix Bugs? – A Preliminary Study of Using Videos and Images to Report Issues on GitHub – Early Research Achievements (ERA) Hiroki Kuramoto Kyushu University, Masanari Kondo Kyushu University, Yutaro Kashiwa Kyushu University, Yuta Ishimoto Kyushu University, Kaze Shindo Kyushu University, Yasutaka Kamei Kyushu University, Naoyasu Ubayashi Kyushu University Media Attached | ||
02:22 7mTalk | Find Bugs in Static Bug Finders Research Junjie Wang Institute of Software at Chinese Academy of Sciences, Yuchao Huang Institute of Software Chinese Academy of Sciences, Song Wang York University, Qing Wang Institute of Software at Chinese Academy of Sciences Pre-print Media Attached | ||
02:29 4mTalk | didiffff: A Viewer for Comparing Changes in both Code and Execution Trace Tool Demonstration Tetsuya Kanda Osaka University, Kazumasa Shimari Nara Institute of Science and Technology, Katsuro Inoue Osaka University Pre-print Media Attached | ||
02:33 17mLive Q&A | Q&A-Paper Session 11 Research | ||