Variance of ML-based software fault predictors: are we really improving fault prediction?

Shahini, XhuljaBubel, DomenicMetzger, AndreasRabiser, RickWimmer, ManuelGroher, IrisWortmann, AndreasWiesmayr, Bianca2024-02-192024-02-192024978-3-88579-737-1https://dl.gi.de/handle/20.500.12116/43569enMachine learningFault predictionQuality assuranceVariance analysisNon-determinismVariance of ML-based software fault predictors: are we really improving fault prediction?Text/Conference Paper10.18420/sw2024_261617-5468