17 citations · 22 across the 5 of their papers we have counts for
3 papers · 1 filter
Perspective of Software Engineering Researchers on Machine Learning Practices Regarding Research, Review, and Education
Anamaria Mojica-Hanke, David Nader Palacio, Denys Poshyvanyk +2
Context: Machine Learning (ML) significantly impacts Software Engineering (SE), but studies mainly focus on practitioners, neglecting researchers. This overlooks practices and chal…
What are the Machine Learning best practices reported by practitioners on Stack Exchange?
Anamaria Mojica-Hanke, Andrea Bayona, Mario Linares-Vásquez +2
Machine Learning (ML) is being used in multiple disciplines due to its powerful capability to infer relationships within data. In particular, Software Engineering (SE) is one of th…
Differential testing for machine learning: an analysis for classification algorithms beyond deep learning
Steffen Herbold, Steffen Tunkel
Context: Differential testing is a useful approach that uses different implementations of the same algorithms and compares the results for software testing. In recent years, this a…