An empirical study of programming language trends

Yaofei Chen, Rose Dios, Ali Mili, Lan Wu, Kefei Wang

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)72-79
Number of pages8
JournalIEEE Software
Volume22
Issue number3
DOIs
StatePublished - May 1 2005

All Science Journal Classification (ASJC) codes

  • Software

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