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Tue 10 Nov 2020 08:37 - 08:38 at Virtual room 2 - Developer Support 1

In software development and maintenance, defect localization is necessary for software quality assurance. Current defect localization techniques mainly rely on defect symptoms (e.g., bug reports or program spectrum) when the defect has been exposed. One challenge task is: can we locate buggy program prior to the appearance of the defect symptom. Such kind of localization is conducted at an early stage (e.g., when buggy program elements are being checked-in) which can be an early step of continuous quality control.

In this paper, we propose a \textbf{\underline{J}}ust-\textbf{\underline{I}}n-\textbf{\underline{T}}ime defect identification and l\textbf{\underline{O}}calization tool, named JITO, which can help developers to locate defective lines at check-in time. In summary, JITO contains two phases: (i) identify if a new change is buggy and (ii) locate suspicious buggy code lines in the identified buggy changes. We implement JITO as a plugin in an integrated development environment (i.e., Intellij IDEA). When developers using our plugin, JITO loads the local Git repository to build the JIT defect identification model and localization model based on historical changes. After submitting a new change to the local repository, developers apply JITO to identify whether it is a buggy change. If a buggy change is identified, JITO leverages JIT defect localization model to locate its suspicious buggy lines and highlight them in Intellij IDEA. Experimental results show that JITO outperforms two baselines (i.e., random guess and a static bug finder (i.e., PMD)) by a substantial margin in terms of four ranking measures.

Demo URL: \url{https://youtu.be/tvnYs62FkEQ}

Plugin download: \url{https://git.io/Jf5r1}

Tue 10 Nov

Displayed time zone: (UTC) Coordinated Universal Time change

08:30 - 09:00
08:30
2m
Talk
DiffTech: A Tool for Differencing Similar Technologies from Question-and-Answer Discussions
Tool Demos
Han Wang , Chunyang Chen Monash University, Australia, Zhenchang Xing Australian National University, Australia, John Grundy Monash University, Australia
DOI
08:33
1m
Talk
Enhancing Developer Interactions with Programming Screencasts through Accurate Code Extraction
Tool Demos
Lingfeng Bao Zhejiang University, Shengyi Pan Zhejiang University of Technology, China, Zhenchang Xing Australian National University, Australia, Xin Xia Monash University, David Lo Singapore Management University, Xiaohu Yang Zhejiang University, China
DOI
08:35
1m
Talk
Interactive, Effort-Aware Library Version Harmonization
Research Papers
Kaifeng Huang Fudan University, China, Bihuan Chen Fudan University, China, Bowen Shi Fudan University, China, Ying Wang Fudan University, China, Congying Xu Fudan University, China, Xin Peng Fudan University, China
DOI
08:37
1m
Talk
JITO: A Tool for Just-in-Time Defect Identification and Localization
Tool Demos
Fangcheng Qiu Zhejiang University, China, Meng Yan Chongqing University, Xin Xia Monash University, Xinyu Wang Zhejiang University, Yuanrui Fan Zhejiang University, Ahmed E. Hassan Queen's University, David Lo Singapore Management University
DOI
08:39
1m
Talk
Reusing Software Engineering Knowledge from Developer Communication
Paper Presentations
Camila Mariane Costa Silva University of Canterbury
08:41
19m
Talk
Conversations on Developer Support 1
Paper Presentations
Camila Mariane Costa Silva University of Canterbury, Fangcheng Qiu Zhejiang University, China, Han Wang , Kaifeng Huang Fudan University, China, Shengyi Pan Zhejiang University of Technology, China, M: Ayushi Rastogi