Carlos Cetina

Carlos Cetina is a Full Professor at Universitat Politècnica de València in Spain and Head of the SVIT Research Group. He serves as Director of the Master in Advanced Software Engineering for Mobile Devices and holds an Honorary Associate Professor position at University College London. His work bridges academic research with industrial software engineering practices, focusing on accelerating software development and maintenance through innovative engineering approaches.

Dr. Cetina's research centers on Software Product Lines, Model-Driven Engineering, and Search-Based Software Engineering, with a growing emphasis on applying these techniques to game software development. His work investigates how variability-intensive systems can be better engineered and maintained, particularly through evolutionary algorithms and model-based approaches. He has pioneered methods for bug localization in software models of video games and explored the application of phylogenetics to software engineering problems.

His recent publication trajectory reveals a strong focus on empirical studies in game software engineering, with particular attention to procedural content generation, energy consumption analysis in game engines, and comparative evaluations of model-driven versus code-driven development approaches. He has established himself as a leading researcher in applying search-based techniques to solve complex problems in software model analysis and manipulation.

• Award winner for Accelerating Video Game Development
• Award Finalist for Feature Location in software models

As Head of the SVIT Research Group, Dr. Cetina leads a team dedicated to advancing software engineering practices through rigorous research that directly addresses industry challenges. His work on variability-intensive systems has significant implications for software product line engineering and has been widely adopted in both academic and industrial contexts. His research group actively collaborates with industry partners to ensure practical relevance of their findings.