Imagine an assembly line where each tool monitors how it’s used; errors are detected before they occur; and digital work ...
Abstract: Machine learning is widely used to predict software defect-prone components, facilitating testing and improving application quality. In a recent meta-analysis on binary classification for ...
Abstract: Contribution: A novel undergraduate course design at the intersection of software engineering (SE) and machine learning (ML) based on industry-reported challenges.Background: ML ...
Wrubel, E., Creel, R., and O'Hearn, B., 2025: 5 Essential Questions for Implementing the Software Acquisition Pathway and the Tools to Tackle Them. Carnegie Mellon University, Software Engineering ...