Mattia Fazzini

Mattia Fazzini is an Assistant Professor in the Department of Computer Science & Engineering at the University of Minnesota's College of Science and Engineering. His research focuses on improving software quality through innovative techniques in software testing, maintenance, and security. His work primarily targets mobile applications, particularly Android platform challenges.

Dr. Fazzini received his Ph.D. in Computer Science from the Georgia Institute of Technology before joining the University of Minnesota. His educational background provided the foundation for his research in software engineering with emphasis on practical solutions for real-world software quality problems.

His research interests center around software engineering with specific focus on software testing methodologies, maintenance techniques, and security considerations. Dr. Fazzini's work addresses critical challenges in mobile application development, including test oracle generation, API compatibility issues, bug reproduction, and energy efficiency concerns in Android applications. His research has evolved to incorporate AI techniques, as evidenced by recent work leveraging LLMs for DevOps automation.

His publication record demonstrates consistent contributions to top-tier software engineering venues, with a clear trajectory toward increasingly sophisticated approaches to software quality assurance. His work shows strong emphasis on practical tool development alongside theoretical contributions, with numerous tool papers and competitions organized around his research themes.

• IEEE TCSE Distinguished Paper Award for 'Automatically Removing Unnecessary Stubbings from Test Suites'
• ACM Distinguished Paper Award for 'Characterizing Human Aspects in Reviews of COVID-19 Apps'

Dr. Fazzini actively mentors students, with multiple undergraduate and graduate researchers contributing to his publications. He has served in significant organizational roles for major conferences including ASE, ICSE, ISSTA, and MOBILESoft, demonstrating leadership in the software engineering community. His teaching portfolio includes both undergraduate and graduate courses in software engineering and program design.