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ICSE 2022
Sun 8 - Fri 27 May 2022
Wed 11 May 2022 20:25 - 20:30 at ICSE room 1-even hours - Machine Learning with and for SE 7 Chair(s): Lei Ma
Fri 13 May 2022 04:15 - 04:20 at ICSE room 4-even hours - Software Fairness Chair(s): Aldeida Aleti

The fairness characteristic is a critical attribute of trusted AI systems. A plethora of research has proposed diverse methods for individual fairness testing. However, they are suffering from three major limitations, i.e., low efficiency, low effectiveness, and model-specificity. This work proposes ExpGA, an explanation-guided fairness testing approach through a genetic algorithm (GA). \mytool{} employs the explanation results generated by interpretable methods to collect high-quality initial seeds, which are prone to derive discriminatory samples by slightly modifying feature values. \mytool{} then adopts GA to search discriminatory sample candidates by optimizing a fitness value. Benefiting from this combination of explanation results and GA, \mytool{} is both efficient and effective to detect discriminatory individuals. Moreover, \mytool{} only requires prediction probabilities of the tested model, resulting in a better generalization capability to various models. Experiments on multiple real-world benchmarks, including tabular and text datasets, show that \mytool{} presents higher efficiency and effectiveness than four state-of-the-art approaches.

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

Fri 13 May

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

04:00 - 05:00
Software FairnessTechnical Track at ICSE room 4-even hours
Chair(s): Aldeida Aleti Monash University
04:00
5m
Talk
FairNeuron: Improving Deep Neural Network Fairness with Adversary Games on Selective Neurons
Technical Track
Xuanqi Gao Xi'an Jiaotong University, Juan Zhai Rutgers University, Shiqing Ma Rutgers University, Chao Shen Xi'an Jiaotong University, Yufei Chen Xi'an Jiaotong University, Qian Wang Wuhan University
DOI Pre-print Media Attached
04:05
5m
Talk
Training Data Debugging for the Fairness of Machine Learning Software
Technical Track
Yanhui Li Department of Computer Science and Technology, Nanjing University, Linghan Meng Nanjing University, Lin Chen Department of Computer Science and Technology, Nanjing University, Li Yu Nanjing University, Di Wu Momenta, Yuming Zhou Nanjing University, Baowen Xu Nanjing University
Pre-print Media Attached
04:10
5m
Talk
NeuronFair: Interpretable White-Box Fairness Testing through Biased Neuron Identification
Technical Track
haibin zheng Zhejiang University of Technology, Zhiqing Chen Zhejiang University of Technology, Tianyu Du Zhejiang University, Xuhong Zhang Zhejiang University, Yao Cheng Huawei International, Shouling Ji Zhejiang University, Jingyi Wang Zhejiang University, Yue Yu College of Computer, National University of Defense Technology, Changsha 410073, China, Jinyin Chen College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China
DOI Pre-print Media Attached
04:15
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
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Wed 11 May 2022 20:00 - 21:00 at ICSE room 1-even hours - Machine Learning with and for SE 7 Chair(s): Lei Ma
Info for room ICSE room 1-even hours:

Click here to go to the room on Midspace

Fri 13 May 2022 04:00 - 05:00 at ICSE room 4-even hours - Software Fairness Chair(s): Aldeida Aleti
Info for room ICSE room 4-even hours:

Click here to go to the room on Midspace