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11/10/2022
When Less is More: On the Value of "Co-training" for Semi-Supervised Software Defect Predictors
Labeling a module defective or non-defective is an expensive task. Hence...
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11/03/2021
Can We Achieve Fairness Using Semi-Supervised Learning?
Ethical bias in machine learning models has become a matter of concern i...
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10/25/2021
Fair Enough: Searching for Sufficient Measures of Fairness
Testing machine learning software for ethical bias has become a pressing...
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10/03/2021
xFAIR: Better Fairness via Model-based Rebalancing of Protected Attributes
Machine learning software can generate models that inappropriately discr...
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05/25/2021
Bias in Machine Learning Software: Why? How? What to do?
Increasingly, software is making autonomous decisions in case of crimina...
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07/06/2020
Making Fair ML Software using Trustworthy Explanation
Machine learning software is being used in many applications (finance, h...
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03/23/2020
Fairway: A Way to Build Fair ML Software
Machine learning software is increasingly being used to make decisions t...
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03/23/2020
Fairway: SE Principles for Building Fairer Software
Machine learning software is increasingly being used to make decisions t...
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05/15/2019
Predicting Breakdowns in Cloud Services (with SPIKE)
Maintaining web-services is a mission-critical task. Any downtime of web...
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05/14/2019
Software Engineering for Fairness: A Case Study with Hyperparameter Optimization
We assert that it is the ethical duty of software engineers to strive to...
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04/22/2019