An ontological knowledge-based method to enhance software product line engineering (SPLE) has been developed by Dr. Megha Bhushan and Dr José Ángel Galindo. Their work addresses feature model defects caused by dead features, significantly improving the quality of software products in SPLE. This research has been published in the prestigious journal Engineering Applications of Artificial Intelligence (Q1, Impact Factor: 7.5).
This publication underscores our commitment to advancing the field of software engineering and contributes valuable insights for both academic researchers and industry practitioners.
The full article is accessible here:
https://www.sciencedirect.com/science/article/pii/S0952197624011588