A Comparative Study of Transformer-based Neural Text Representation Techniques on Bug Triaging (ASE 2023 - Research Papers) - ASE 2023

Mon 11 - Fri 15 September 2023 Kirchberg, Luxembourg

Who

Atish Kumar Dipongkor, Kevin Moran

Track

ASE 2023 Research Papers

Time Zone

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When

Wed 13 Sep 2023 15:30 - 15:42 at Room D - Bug Detection Chair(s): Andreea Vescan

File attachments

A Comparative Study of Transformer-based Neural Text Representation Techniques on Bug Triaging (Neural-Bug-Triaging.pptx)	11.81MiB

Atish Kumar Dipongkor

University of Central Florida

Bangladesh

Kevin Moran

George Mason University

United States

Time Zone

The program is currently displayed in (GMT+02:00) Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna.

Use conference time zone: (GMT+02:00) Amsterdam, Berlin, Bern, Rome, Stockholm, ViennaSelect other time zone

The GMT offsets shown reflect the offsets at the moment of the conference.

Time Band

By setting a time band, the program will dim events that are outside this time window. This is useful for (virtual) conferences with a continuous program (with repeated sessions).
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Session Program

Wed 13 Sep
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

	15:30 - 17:00	Bug DetectionResearch Papers / Journal-first Papers at Room D Chair(s): Andreea Vescan Babes-Bolyai University

	15:30 12m Talk		A Comparative Study of Transformer-based Neural Text Representation Techniques on Bug Triaging Research Papers Atish Kumar Dipongkor University of Central Florida, Kevin Moran George Mason University File Attached
	15:42 12m Talk		Duplicate Bug Report Detection: How Far Are We? Journal-first Papers Ting Zhang Singapore Management University, DongGyun Han Royal Holloway, University of London, Venkatesh Vinayakarao Chennai Mathematical Institute, Ivana Clairine Irsan Singapore Management University, Bowen Xu North Carolina State University, Ferdian Thung Singapore Management University, David Lo Singapore Management University, Lingxiao Jiang Singapore Management University Link to publication DOI File Attached
	15:54 12m Talk		Neural SZZ Algorithm Research Papers LingXiao Tang zhejiang university, Lingfeng Bao Zhejiang University, Xin Xia Huawei Technologies, Zhongdong Huang Zhejiang University Pre-print
	16:06 12m Talk		How to Train Your Neural Bug Detector: Artificial vs Real Bugs Research Papers Cedric Richter Carl von Ossietzky Universität Oldenburg / University of Oldenburg, Heike Wehrheim Carl von Ossietzky Universität Oldenburg / University of Oldenburg Pre-print File Attached
	16:18 12m Talk		Detection of Java Basic Thread Misuses Based on Static Event Analysis Research Papers Baoquan Cui Institute of Software at Chinese Academy of Sciences, China, MiaoMiao Wang Technology Center of Software Engineering, ISCAS, China. University of Chinese Academy of Sciences, China., Chi Zhang State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China, Jiwei Yan Institute of Software at Chinese Academy of Sciences, China, Jun Yan Institute of Software at Chinese Academy of Sciences; University of Chinese Academy of Sciences, Jian Zhang Institute of Software at Chinese Academy of Sciences; University of Chinese Academy of Sciences File Attached
	16:30 12m Full-paper		On effort-aware metrics for defect prediction Journal-first Papers Jonida Çarka University of Rome Tor Vergata, Matteo Esposito University of Rome Tor Vergata, Falessi Davide University of Rome Tor Vergata DOI File Attached
	16:42 12m Talk		FLUX: Finding Bugs with LLVM IR Based Unit Test Crossovers Research Papers Eric Liu University of Toronto, Shengjie Xu University of Toronto, David Lie University of Toronto, Canada Pre-print File Attached