Tag: machine learning
Machine Learning (ML) deals with how computer programs can learn and improve at performing a specific task when trained on historical data. ML is divided into unsupervised learning (such as clustering and topic modeling) and supervised learning (training a system on annotated examples). ML has been a central part of my research since my PhD studies, and even ended up in my thesis title.
Using Text Clustering to Predict Defect Resolution Time: A Conceptual Replication and an Evaluation of Prediction Accuracy
TuneR: A Framework for Tuning Software Engineering Tools with Hands-on Instructions in R
Do Take it Personal: It’s Not What You Say, It’s Who (and Where) You Are!
Automated Bug Assignment: Ensemble-based Machine Learning in Large Scale Industrial Contexts
Navigating Information Overload Caused by Automated Testing – A Clustering Approach in Multi-Branch Development
