Rejuvenation

Legacy software underpins critical high-tech systems, yet maintaining it has become increasingly complex and costly. Continuous deployment blurs the line between maintenance and evolution, while the shrinking pool of developers skilled in older languages limits innovation. At the same time, legacy code holds immense business value, especially as AI unlocks opportunities to repurpose and enhance this knowledge.

Our approach combines advanced program analysis, software visualization, and intelligent code assistants to make legacy systems understandable and evolvable. By extracting structural and behavioral insights, we enable controlled, semi-automated rejuvenation that reduces risk and technical debt. Research focuses on static and dynamic code analysis, model learning, architectural restructuring, and generative AI for software engineering, helping the high-tech industry sustain critical systems while paving the way for future innovation.