Smoke testing for machine learning: simple tests to discover severe bugs

Herbold, SteffenHaar, TobiasEngels, GregorHebig, ReginaTichy, Matthias2023-01-182023-01-182023978-3-88579-726-5https://dl.gi.de/handle/20.500.12116/40082We summarize the article Smoke testing for machine learning: simple tests to discover severe bugs [HH22], which was published in Empirical Software Engineering in 2022.enMachine learningClassificationSoftware testingSmoke testingCombinatorial testingEquivalence classesBoundary-value analysisSmoke testing for machine learning: simple tests to discover severe bugsText/Conference Paper1617-5468