Towards Migrating Neural Network Implementations

ArXi:2511.02610v2 Announce Type: replace The development of smart systems (i.e., systems enhanced with AI components) has thrived thanks to the rapid advancements in neural networks (NNs). A wide range of libraries and frameworks have consequently emerged to NN design and implementation. The choice depends on factors such as available functionalities, ease of use, documentation and community. After adopting a given NN framework, organizations might later choose to switch to another if performance declines, requirements evolve, or new features are.