Revisiting Supervised and Unsupervised Methods for Effort-Aware Cross-Project Defect Prediction (ICSE 2021 - Journal-First Papers)

Who

Chao Ni, Xin Xia, David Lo, Xiang Chen, Qing Gu

Track

ICSE 2021 Journal-First Papers

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When

Thu 27 May 2021 10:00 - 10:20 at Blended Sessions Room 3 - 3.1.3. Defect Prediction: Automation #2 Chair(s): Robert Feldt
Thu 27 May 2021 22:00 - 22:20 at Blended Sessions Room 3 - 3.1.3. Defect Prediction: Automation #2

Link to Preprint

https://xin-xia.github.io/publication/tse205.pdf

Chao Ni

Zhejiang University

China

Xin Xia

Huawei Software Engineering Application Technology Lab

China

David Lo

Singapore Management University

Singapore

Xiang Chen

Nantong University

China

Qing Gu

Nanjing University

YT Video

Time Zone

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

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Session Program

Thu 27 May
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

10:00 - 11:00	3.1.3. Defect Prediction: Automation #2Journal-First Papers at Blended Sessions Room 3 +12h Chair(s): Robert Feldt Chalmers \| University of Gothenburg, Blekinge Institute of Technology

10:00 20m Paper		Revisiting Supervised and Unsupervised Methods for Effort-Aware Cross-Project Defect PredictionJournal-First Journal-First Papers Chao Ni Zhejiang University, Xin Xia Huawei Software Engineering Application Technology Lab, David Lo Singapore Management University, Xiang Chen Nantong University, Qing Gu Nanjing University Pre-print Media Attached
10:20 20m Paper		Ammonia: an Approach for Deriving Project-Specific Bug PatternsJournal-First Journal-First Papers Yoshiki Higo Osaka University, Shinpei Hayashi Tokyo Institute of Technology, Hideaki Hata Shinshu University, Mei Nagappan University of Waterloo Link to publication DOI Authorizer link Pre-print Media Attached
10:40 20m Paper		Predicting Defective Lines Using a Model-Agnostic TechniqueJournal-First Journal-First Papers Supatsara Wattanakriengkrai Nara Institute of Science and Technology, Patanamon Thongtanunam University of Melbourne, Kla Tantithamthavorn Monash University, Hideaki Hata Shinshu University, Kenichi Matsumoto Nara Institute of Science and Technology DOI Pre-print Media Attached

22:00 - 23:00	3.1.3. Defect Prediction: Automation #2Journal-First Papers at Blended Sessions Room 3

22:00 20m Paper		Revisiting Supervised and Unsupervised Methods for Effort-Aware Cross-Project Defect PredictionJournal-First Journal-First Papers Chao Ni Zhejiang University, Xin Xia Huawei Software Engineering Application Technology Lab, David Lo Singapore Management University, Xiang Chen Nantong University, Qing Gu Nanjing University Pre-print Media Attached
22:20 20m Paper		Ammonia: an Approach for Deriving Project-Specific Bug PatternsJournal-First Journal-First Papers Yoshiki Higo Osaka University, Shinpei Hayashi Tokyo Institute of Technology, Hideaki Hata Shinshu University, Mei Nagappan University of Waterloo Link to publication DOI Authorizer link Pre-print Media Attached
22:40 20m Paper		Predicting Defective Lines Using a Model-Agnostic TechniqueJournal-First Journal-First Papers Supatsara Wattanakriengkrai Nara Institute of Science and Technology, Patanamon Thongtanunam University of Melbourne, Kla Tantithamthavorn Monash University, Hideaki Hata Shinshu University, Kenichi Matsumoto Nara Institute of Science and Technology DOI Pre-print Media Attached