Why functional programming matters
The Computer Journal - Special issue on Lazy functional programming
Explaining Software Developer Acceptance of Methodologies: A Comparison of Five Theoretical Models
IEEE Transactions on Software Engineering
An Empirical Study of Programming Language Trends
IEEE Software
Java generics adoption: how new features are introduced, championed, or ignored
Proceedings of the 8th Working Conference on Mining Software Repositories
Failure is a four-letter word: a parody in empirical research
Proceedings of the 7th International Conference on Predictive Models in Software Engineering
Socio-PLT: principles for programming language adoption
Proceedings of the ACM international symposium on New ideas, new paradigms, and reflections on programming and software
Empirical analysis of programming language adoption
Proceedings of the 2013 ACM SIGPLAN international conference on Object oriented programming systems languages & applications
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We present cross-sectional analyses of programming language use and reflect upon our experience in doing so. In particular, we directly analyze groups of 1,500-13,000 developers by using questionnaires and 260,000 developers indirectly so by mining 210,000 software repositories. Our analysis reveals programming language adoption phenomena surrounding developer age, birth year, workplace, and software repository preference. We find that survey methods are increasingly accessible and relevant, but there are distinctive problems in examining developers and code repositories. We show that analyzing software repositories suffers from sample bias problems similar to those encountered when directly polling developers. Such bias limits the general validity of research claims based on analysis of software repositories. We aid future empirical researchers by describing concrete practices and opportunities to improve the results of developer and software repository surveys.