Davide Fucci

Davide Fucci is an Assistant Professor in the Software Engineering department at Blekinge Institute of Technology (BTH) in Sweden. His academic career spans multiple prestigious software engineering conferences where he serves on program committees for ESEM, EASE, ICSSP, and PROFES.

Dr. Fucci received his Ph.D. (cum laude) from the Department of Information Processing Science at the University of Oulu, Finland. He earned his B.Sc. in Computer Science from the University of Bari, Italy, and his M.Sc. in Information Processing Science from the University of Oulu, Finland.

Davide Fucci's research focuses on empirical software engineering with particular emphasis on requirements engineering, human aspects of software engineering, and agile software development methodologies. His work explores psycho-cognitive studies in software engineering and Green software engineering. He has a strong commitment to methodological rigor and empirical approaches, advocating for open science practices in software engineering research. His research often bridges theoretical frameworks with practical applications in industry settings.

Dr. Fucci's publication record demonstrates a consistent focus on improving software engineering practices through empirical validation. His recent work addresses emerging challenges in integrating AI technologies like Large Language Models into software development processes, security concerns in modern applications, and quality assessment of requirements. He has made significant contributions to understanding experimental design in software engineering research and promoting reproducibility in the field.

As an active member of the software engineering research community, Dr. Fucci serves on numerous program committees and has organized workshops focused on open science and requirements engineering. He is a member of both ACM and IEEE Computer Society, reflecting his standing in the international computer science community.

Davide Fucci has advised numerous research projects and has been involved in various collaborative efforts exploring the human dimensions of software engineering. His work on crossover designs in experiments, requirements quality assessment, and threat modeling for AI-integrated applications demonstrates his commitment to advancing methodological rigor in empirical software engineering research.