arXiv cs.AI
· Papers
Regression Test Selection for Updated Capability Modules in Compositional ML Systems via Atomic-Quality Probes
arXiv:2604.26689v4 Announce Type: replace-cross Abstract: Compositional machine-learning (ML) systems assemble runtime behavior from libraries of independently re-trained capability modules. Replacing one module raises a regression-testing question that static dependence analysis cannot answer: which existing compositi