didiffff: A Viewer for Comparing Changes in both Code and Execution Trace
One of the important purposes of code review is to find potential defects caused by other developers’ code changes. When reviewing bug fixes, it is important to check the program behavior is properly changed to remove the bug. On the other hand, it is also important to check the program behavior that is not related to the bug is not changed. To investigate the program behavior, omniscient debugging which records all the runtime events is proposed. With omniscient debugging techniques, existing tools visualize multiple execution paths and the states of local variables of a method, but they are not focusing on code changes. In this paper, we implemented a prototype tool that compares and visualizes the difference between two execution traces caused by code changes. Each variable has a maximum of two lists of values, before and after the code changes, so we proposed their categorization based on their difference of length and contents. We also developed a viewer to show both code changes and the difference of execution traces at a glance by extending our previous viewer for omniscient debugging.
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 | ||