Stefan Hanenberg
Papers
1
Total Citations
4
H-Index
1
About
Stefan Hanenberg is a leading figure in empirical software engineering, with a particular focus on rigorously evaluating claims about programming languages and developer productivity. His work challenges long-held assumptions in the field by designing controlled experiments to measure how language features—such as type systems, static vs. dynamic typing, and domain-specific languages (DSLs)—affect developer performance and code quality. Hanenberg’s landmark “experience report” on DSLs (2018, 4 citations) highlights a critical gap in the literature: despite widespread belief that DSLs improve communication with domain experts, there is surprisingly little empirical evidence to support this claim. This paper, along with his broader body of work, has helped shift the conversation in programming language research from intuition-based advocacy to evidence-based assessment. Hanenberg is also known for his influential studies on static typing, which have sparked ongoing debate and further investigation. Though his citation counts may appear modest, his contributions are highly impactful within the empirical software engineering community, where he is recognized for pioneering rigorous methodologies and for inspiring a new generation of researchers to question conventional wisdom through data.
Research Focus
Key Achievements
Top Papers
- 1Experience report4 citations · 2018