Csaba Nagy

Csaba Nagy is a researcher specializing in software engineering with expertise in database systems and static code analysis, evidenced by publications from 2015-2022 and an h-index of 13. His work addresses critical challenges in data-intensive software through empirical studies and tool development.

His research focuses on SQL code smells, data access technical debt, and database usage evolution in Java applications. Key contributions include identifying patterns of self-admitted technical debt and developing static analysis tools like SQLInspect to detect embedded SQL issues, advancing software quality in database-driven systems.

Nagy's publication trend (2016-2022) reveals a cohesive research trajectory examining database anti-patterns through empirical mining of software repositories, with increasing emphasis on practical tooling solutions for industry applications.

Scientific Awards:

• Best Paper Award at the 2016 International Conference on Software Quality, Reliability and Security (QRS 2016)

Nagy served as Principal Investigator for a post-doctoral project (2017-2018) supervised by Prof. Cleve, collaborating with researchers including Asmare Muse, Foutse Khomh, and Giuliano Antoniol on database evolution studies. His work demonstrates sustained funding through competitive research grants in software engineering.