Empirical analysis of programming language adoption

@inproceedings{Meyerovich2013EmpiricalAO,
  title={Empirical analysis of programming language adoption},
  author={Leo A. Meyerovich and Ariel S. Rabkin},
  booktitle={OOPSLA},
  year={2013}
}
Some programming languages become widely popular while others fail to grow beyond their niche or disappear altogether. This paper uses survey methodology to identify the factors that lead to language adoption. We analyze large datasets, including over 200,000 SourceForge projects, 590,000 projects tracked by Ohloh, and multiple surveys of 1,000-13,000 programmers. We report several prominent findings. First, language adoption follows a power law; a small number of languages account for most… CONTINUE READING
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