1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.SE2022★ 1 cited
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…
cs.SE2021
Exploring the relationship between performance metrics and cost saving potential of defect prediction models
Steffen Tunkel, Steffen Herbold
Context: Performance metrics are a core component of the evaluation of any machine learning model and used to compare models and estimate their usefulness. Recent work started to q…