Projects

FUSE (The Future of Software Engineering) Lab is a research collaboration between TU Delft’s Software Engineering Research Group (SERG) and Meta’s DevInfra team, rethinking the future of software development in the age of AI. Within FUSE, I co-lead Track 2 — Predictive Software Testing — which aims to create an intelligent and adaptive testing ecosystem capable of safeguarding quality in massive, rapidly-evolving codebases. The track explores learning-based techniques (e.g., LLMs and agents) to capture the intent behind code changes, new metrics for test quality that go beyond code coverage, prediction of code-change success to give developers quick feedback, and autonomous agents that automatically refactor, prune, and optimize test code to prevent test decay.

The emergence of advanced AI-driven tools has led to a wide range of opportunities and transformations in software engineering practices and education. Recognizing this potential, JetBrains and Delft University of Technology have collaborated to establish the AI for Software Engineering Lab (AI4SE). Together, we are committed to conducting cutting-edge research on the impact and utilization of AI methodologies in software engineering. Our areas of focus include diverse facets of the domain, such as software development, testing, and programming education.

UBRI is a partnership between Ripple and top universities around the world to support academic research, technical development and innovation in blockchain, cryptocurrency and , digital payments. Ripple is providing both financial and technical resources to university partners and collaborates with faculty and students on research and technical projects.

Emerging Cyber-Physical Systems (CPS)—from robotics, transportation, to medical devices—play a crucial role in the quality of life of European citizens and the future of the European economy. Increasing automation to such an extent, however, gives rise to many challenges, at the crux of which lies the hardware and software symbiosis. COSMOS proposes to overcome the strain on developing and evolving high-quality, dependable CPS by employing two key technologies, namely DevOps and Artificial Intelligence (AI). These technologies offer the potential to address CPS development, verification, and evolution.

AI for Fintech Research (AFR) is a five year collaboration between ING and Delft University of Technology. The mission of AFR is to perform world-class research at the intersection of Artificial Intelligence, Data Analytics, and Software Analytics in the context of FinTech. AFR was launched in 2020.

STAMP stands for Software Testing AMPlification. Leveraging advanced research in automatic test generation, STAMP aims at pushing automation in DevOps one step further through innovative methods of test amplification. STAMP will reuse existing assets (test cases, API descriptions, dependency models), in order to generate more test cases and test configurations each time the application is updated.