We recently had the honour of hosting a seminar by Rennes University Professor Paul Temple, on the integration of Machine Learning and SPL (Software Product Lines) where he talked about previous and future investigation, as well as sharing the results of his most recent research on the topic.
We were introduced to the Variability Systems expert lab on Rennes University, DiverSE. Among their most valuable contributions, is extensive research on feature model (main tool for creating a domain or scope for a variability system) automation and constraints creation for them.
The event was introduced by Valére, an international student that we had the pleasure to collaborate with on his stay on Seville (Picture 1), and followed by Professor Paul Temple (Picture 2).
We will surely be featuring more high quality events like this on the future. In the meanwhile, take a look at one of his most cited papers on the topic: Using machine learning to infer constraints for product lines which is coauthored by Dr. José Ángel Galindo, cofounder of Diversolab.
