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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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10/19/2022
A baseline revisited: Pushing the limits of multi-segment models for context-aware translation
This paper addresses the task of contextual translation using multi-segm...
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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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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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11/26/2020
Early Life Cycle Software Defect Prediction. Why? How?
Many researchers assume that, for software analytics, "more data is bett...
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08/21/2020
Revisiting Process versus Product Metrics: a Large Scale Analysis
Numerous methods can build predictive models from software data. But wha...
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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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11/06/2019
Learning GENERAL Principles from Hundreds of Software Projects
When one exemplar project, which we call the "bellwether", offers the be...
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04/22/2019
Why Software Projects need Heroes (Lessons Learned from 1100+ Projects)
A "hero" project is one where 80 the 20 since they might cause bottlenec...
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03/14/2018
Bad Smells in Software Analytics Papers
CONTEXT: There has been a rapid growth in the use of data analytics to u...
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02/14/2018
