Robert Feldt

Papers

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About

Robert Feldt is a leading researcher in software engineering, with key contributions spanning software testing, search-based software engineering, and human factors in software development. His work bridges the gap between automated techniques and practical software quality assurance. Notably, his highly cited paper on "Genetic Programming for Cross-Release Fault Count Predictions in Large and Complex Software Projects" (2010) pioneered the use of evolutionary computation to forecast software faults across releases, enabling more efficient resource allocation and reducing costly defects—a critical advance for modern, rapid-release cycles. With over 8,000 citations across his body of work, Feldt’s impact is profound: he has shaped how researchers and practitioners approach automated test generation, fault prediction, and the role of human behavior in debugging. His achievements include co-founding the field of human-centered software engineering and receiving multiple best paper awards. For students and researchers, Feldt’s work exemplifies how combining rigorous empirical methods with computational intelligence can solve real-world software engineering challenges, making him a pivotal figure in advancing both theory and practice.