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ICSE 2022
Sun 8 - Fri 27 May 2022
Mon 9 May 2022 20:25 - 20:30 at ICSE room 1-even hours - Machine Learning with and for SE 4 Chair(s): Gias Uddin
Fri 13 May 2022 04:05 - 04:10 at ICSE room 4-even hours - Software Fairness Chair(s): Aldeida Aleti

With the widespread application of machine learning (ML) software, especially in high-risk tasks, the concern about their unfairness has been raised towards both developers and users of ML software. The unfairness of ML software indicates the software behavior affected by the sensitive features (e.g., sex), which leads to biased and illegal decisions and has become a worthy problem for the whole software engineering community.

According to the “data-driven” programming paradigm of ML software, we consider the root cause of the unfairness as biased features in training data. Inspired by software debugging, we propose a novel method, \textbf{L}inear-regression based \textbf{T}raining \textbf{D}ata \textbf{D}ebugging (LTDD), to \textbf{debug} feature values in training data, i.e., (a) identify which features and which parts of them are biased, and (b) exclude the biased parts of such features to recover as much valuable and unbiased information as possible to build fair ML software. We conduct an extensive study on nine data sets and three classifiers to evaluate the effect of our method LTDD compared with four baseline methods. Experimental results show that (a) LTDD can better improve the fairness of ML software with less or comparable damage to the performance, and (b) LTDD is more actionable for fairness improvement in realistic scenarios.

Mon 9 May

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

20:00 - 21:00
Machine Learning with and for SE 4Journal-First Papers / Technical Track / SEIP - Software Engineering in Practice at ICSE room 1-even hours
Chair(s): Gias Uddin University of Calgary, Canada
20:00
5m
Talk
Revisiting Process versus Product Metrics: a Large Scale Analysi
Journal-First Papers
Suvodeep Majumder North Carolina State University, Pranav Mody North Carolina State University, Tim Menzies North Carolina State University
Link to publication DOI Pre-print Media Attached File Attached
20:05
5m
Talk
Learning to Recognize Actionable Static Code Warnings (is Intrinsically Easy)
Journal-First Papers
Xueqi Yang NCSU, Jianfeng Chen North Carolina State University, Rahul Yedida North Carolina State University, Zhe Yu , Tim Menzies North Carolina State University
Link to publication DOI Pre-print Media Attached
20:10
5m
Talk
Mining Root Cause Knowledge from Cloud Service Incident Investigations for AIOps
SEIP - Software Engineering in Practice
Amrita Saha Salesforce Research Asia, Steven C.H. Hoi Salesforce Research Asia
Pre-print Media Attached
20:15
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
20:20
5m
Talk
EREBA: Black-box Energy Testing of Adaptive Neural Networks
Technical Track
Mirazul Haque UT Dallas, Yaswanth Yadlapalli University of Texas at Dallas, Wei Yang University of Texas at Dallas, Cong Liu University of Texas at Dallas, USA
Pre-print Media Attached
20:25
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

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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Information for Participants
Mon 9 May 2022 20:00 - 21:00 at ICSE room 1-even hours - Machine Learning with and for SE 4 Chair(s): Gias Uddin
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