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| 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. | |||
| BibTex | x | ||
| @article{ 10.1109/MS.2005.55, author = {Yaofei Chen and Rose Dios and Ali Mili and Lan Wu and Kefei Wang}, title = {An Empirical Study of Programming Language Trends}, journal ={IEEE Software}, volume = {22}, number = {3}, issn = {0740-7459}, year = {2005}, pages = {72-78}, doi = {http://doi.ieeecomputersociety.org/10.1109/MS.2005.55}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - IEEE Software TI - An Empirical Study of Programming Language Trends IS - 3 SN - 0740-7459 SP72 EP78 EPD - 72-78 A1 - Yaofei Chen, A1 - Rose Dios, A1 - Ali Mili, A1 - Lan Wu, A1 - Kefei Wang, PY - 2005 KW - programming languages KW - software engineering trends KW - empirical software engineering KW - statistical modeling VL - 22 JA - IEEE Software ER - | |||
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
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