Labeling a module defective or non-defective is an expensive task. Hence...
This paper addresses the task of contextual translation using multi-segm...
Ethical bias in machine learning models has become a matter of concern i...
Testing machine learning software for ethical bias has become a pressing...
Increasingly, software is making autonomous decisions in case of crimina...
Many researchers assume that, for software analytics, "more data is bett...
Numerous methods can build predictive models from software data. But wha...
Machine learning software is increasingly being used to make decisions t...
When one exemplar project, which we call the "bellwether", offers the be...
A "hero" project is one where 80
the 20
since they might cause bottlenec...
CONTEXT: There has been a rapid growth in the use of data analytics to
u...
Deep learning methods are useful for high-dimensional data and are becom...