An empirical study of programming language trends

Document Type

Article

Publication Date

5-1-2005

Abstract

Predicting software engineering trends is hard because of the range of factors involved and the complexity of their interactions. Having developed earlier a tentative structure and some possible solutions for this problem, the authors now reduce the problem scope and try to gain some depth by focusing on a compact set of trends: programming languages. They measure the evolution of 17 languages over several years to draw statistical conclusions on what drives a language's evolution. © 2005 IEEE.

Identifier

21244461975 (Scopus)

Publication Title

IEEE Software

External Full Text Location

https://doi.org/10.1109/MS.2005.55

ISSN

07407459

First Page

72

Last Page

79

Issue

3

Volume

22

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