DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MS.2005.55
Predicting software engineering trends is difficult because of the wide range of factors involved and the complexity of their interactions. In an earlier article, the authors discussed a tentative structure for this complex problem and gave a set of possible methods to approach it. Here, they reduce the problem's scope and try to gain some depth by focusing on a compact set of trends: programming languages. They choose 17 languages, measure their evolution over several years, then draw statistical conclusions on what drives a language's evolution.
Index Terms:
programming languages, software engineering trends, empirical software engineering, statistical modeling
Citation:
Yaofei Chen, Rose Dios, Ali Mili, Lan Wu, Kefei Wang, "An Empirical Study of Programming Language Trends," IEEE Software, vol. 22, no. 3, pp. 72-78, May/June 2005, doi:10.1109/MS.2005.55 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||