184 citations · 409 across the 10 of their papers we have counts for
8 papers · 1 filter
When Less is More: On the Value of "Co-training" for Semi-Supervised Software Defect Predictors
Suvodeep Majumder, Joymallya Chakraborty, Tim Menzies
Labeling a module defective or non-defective is an expensive task. Hence, there are often limits on how much-labeled data is available for training. Semi-supervised classifiers use…
Fair-SSL: Building fair ML Software with less data
Joymallya Chakraborty, Suvodeep Majumder, Huy Tu
Ethical bias in machine learning models has become a matter of concern in the software engineering community. Most of the prior software engineering works concentrated on finding e…
Early Life Cycle Software Defect Prediction. Why? How?
N. C. Shrikanth, Suvodeep Majumder, Tim Menzies
Many researchers assume that, for software analytics, "more data is better." We write to show that, at least for learning defect predictors, this may not be true. To demonstrate th…
Revisiting Process versus Product Metrics: a Large Scale Analysis
Suvodeep Majumder, Pranav Mody, Tim Menzies
Numerous methods can build predictive models from software data. However, what methods and conclusions should we endorse as we move from analytics in-the-small (dealing with a hand…
Fairway: A Way to Build Fair ML Software
Joymallya Chakraborty, Suvodeep Majumder, Zhe Yu +1
Machine learning software is increasingly being used to make decisions that affect people's lives. But sometimes, the core part of this software (the learned model), behaves in a b…
Methods for Stabilizing Models across Large Samples of Projects (with case studies on Predicting Defect and Project Health)
Suvodeep Majumder, Tianpei Xia, Rahul Krishna +1
Despite decades of research, SE lacks widely accepted models (that offer precise quantitative stable predictions) about what factors most influence software quality. This paper pro…
Communication and Code Dependency Effects on Software Code Quality: An Empirical Analysis of Herbsleb Hypothesis
Suvodeep Majumder, Joymallya Chakraborty, Amritanshu Agrawal +1
Prior literature has suggested that in many projects 80\% or more of the contributions are made by a small called group of around 20% of the development team. Most prior studies de…
500+ Times Faster Than Deep Learning (A Case Study Exploring Faster Methods for Text Mining StackOverflow)
Suvodeep Majumder, Nikhila Balaji, Katie Brey +2
Deep learning methods are useful for high-dimensional data and are becoming widely used in many areas of software engineering. Deep learners utilizes extensive computational power…