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ICSE 2022
Sun 8 - Fri 27 May 2022
Tue 10 May 2022 12:00 - 12:05 at ICSE room 1-even hours - Machine Learning with and for SE 9 Chair(s): Baishakhi Ray
Wed 11 May 2022 20:00 - 20:05 at ICSE room 1-even hours - Machine Learning with and for SE 7 Chair(s): Lei Ma

Tue 10 May

Displayed time zone: Eastern Time (US & Canada) change

12:00 - 13:00
Machine Learning with and for SE 9Technical Track / SEIP - Software Engineering in Practice / Journal-First Papers at ICSE room 1-even hours
Chair(s): Baishakhi Ray Columbia University
12:00
5m
Talk
Journal First: On the Value of Oversampling for Deep Learning in Software Defect Prediction
Journal-First Papers
Rahul Yedida North Carolina State University, Tim Menzies North Carolina State University
Media Attached
12:05
5m
Talk
Strategies for Reuse and Sharing among Data Scientists in Software Teams
SEIP - Software Engineering in Practice
Will Epperson Carnegie Mellon University, April Wang University of Michigan, Robert DeLine Microsoft Research, Steven M. Drucker Microsoft Research
Pre-print Media Attached
12:10
5m
Talk
What Do They Capture? - A Structural Analysis of Pre-Trained Language Models for Source Code
Technical Track
Yao Wan Huazhong University of Science and Technology, Wei Zhao Huazhong University of Science and Technology, Hongyu Zhang University of Newcastle, Yulei Sui University of Technology Sydney, Guandong Xu University of Technology, Sydney, Hai Jin Huazhong University of Science and Technology
Pre-print Media Attached
12:15
5m
Talk
Type4Py: Practical Deep Similarity Learning-Based Type Inference for Python
Technical Track
Amir Mir Delft University of Technology, Evaldas Latoskinas Delft University of Technology, Sebastian Proksch Delft University of Technology, Netherlands, Georgios Gousios Endor Labs & Delft University of Technology
DOI Pre-print Media Attached
12:20
5m
Talk
Decomposing Convolutional Neural Networks into Reusable and Replaceable Modules
Technical Track
Rangeet Pan Iowa State University, USA, Hridesh Rajan Iowa State University
Pre-print Media Attached

Wed 11 May

Displayed time zone: Eastern Time (US & Canada) change

20:00 - 21:00
Machine Learning with and for SE 7SEIP - Software Engineering in Practice / Technical Track / Journal-First Papers at ICSE room 1-even hours
Chair(s): Lei Ma University of Alberta
20:00
5m
Talk
Journal First: On the Value of Oversampling for Deep Learning in Software Defect Prediction
Journal-First Papers
Rahul Yedida North Carolina State University, Tim Menzies North Carolina State University
Media Attached
20:05
5m
Talk
In-IDE Code Generation from Natural Language: Promise and Challenges
Journal-First Papers
Frank Xu Carnegie Mellon University, Bogdan Vasilescu Carnegie Mellon University, USA, Graham Neubig Carnegie Mellon University
20:10
5m
Talk
Dependency Tracking for Risk Mitigation in Machine Learning (ML) Systems
SEIP - Software Engineering in Practice
Xiwei (Sherry) Xu CSIRO Data61, Chen Wang CSIRO DATA61, Zhen Wang CSIRO Data61, Qinghua Lu CSIRO’s Data61, Liming Zhu CSIRO’s Data61; UNSW
Media Attached
20:15
5m
Talk
Strategies for Reuse and Sharing among Data Scientists in Software Teams
SEIP - Software Engineering in Practice
Will Epperson Carnegie Mellon University, April Wang University of Michigan, Robert DeLine Microsoft Research, Steven M. Drucker Microsoft Research
Pre-print Media Attached
20:20
5m
Talk
A Universal Data Augmentation Approach for Fault Localization
Technical Track
Huan Xie Chongqing University, Yan Lei School of Big Data & Software Engineering, Chongqing University, Meng Yan Chongqing University, Yue Yu College of Computer, National University of Defense Technology, Changsha 410073, China, Xin Xia Huawei Software Engineering Application Technology Lab, Xiaoguang Mao National University of Defense Technology
DOI Pre-print Media Attached
20:25
5m
Talk
Explanation-Guided Fairness Testing through Genetic Algorithm
Technical Track
Ming Fan Xi'an Jiaotong University, Wenying Wei Xi'an Jiaotong University, Wuxia Jin Xi'an Jiaotong University, Zijiang Yang Western Michigan University, Ting Liu Xi'an Jiaotong University
DOI Pre-print

Information for Participants
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