معرفی
Peter Hegedus is an Assistant Professor at the Software Engineering Department of the University of Szeged and a researcher at FrontEndART Ltd. His work bridges academic research with practical software development through teaching, empirical studies, and application development projects.
Research Focus: He specializes in software engineering practices, with emphasis on empirical evaluation of code quality, static analysis techniques, and machine learning applications in software development. His research integrates big data methodologies, refactoring validation, and tool development for software maintainability.
Academic Contributions: His recent publications highlight dataset creation for defect prediction, ML-based alarm filtering systems, and framework designs for machine learning model interaction. These works demonstrate expertise in both theoretical and applied aspects of software engineering.
Teaching Responsibilities: He leads lectures and labs for courses on Enterprise Information Systems, Big Data, and software development practices, incorporating practical assignments like creating REST API testing tools and permission-based image browsers.
