Empirical analysis of programming language adoption

ACM SIGPLAN Notices

Volumn 48, Issue 10, 2013, Pages 1-18

  Meyerovich, Leo A ^a   Rabkin, Ariel S ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b PRINCETON UNIVERSITY   (United States)

Author keywords

Programming language adoption; Survey research

Indexed keywords

COMPUTER PROGRAMMING LANGUAGES; LARGE DATASET; OPEN SYSTEMS; SEMANTICS; SURVEYS;

DYNAMIC LANGUAGES; EMPIRICAL ANALYSIS; INTRINSIC FEATURES; LANGUAGE FEATURES; LARGE DATASETS; OPEN-SOURCE LIBRARIES; SURVEY METHODOLOGY; SURVEY RESEARCH;

OPEN SOURCE SOFTWARE;

EID: 84888780455     PISSN: 15232867     EISSN: None     Source Type: Journal    
DOI: 10.1145/2544173.2509515     Document Type: Article

References (25)

1. Ohloh, the open source network. http://ohloh.net.
2. Sourceforge. http://sourceforge.net.
3. Tiobe index. http://www.tiobe.com/index.php/content/paperinfo/tpci/index. html.
4. R. Agarwal and J. Prasad. A Field Study of the Adoption of Software Process Innovations by Information Systems Professionals. IEEE Trans. Engr. Management, 47(3), 2000.
5. Y. Chen, R. Dios, A. Mili, L. Wu, and K. Wang. An empirical study of programming language trends. IEEE Software, 22:72-78, May 2005.
6. R. Dattero and S. D. Galup. Programming languages and gender. Communications of the ACM, 47(1):99-102, 2004.
7. F. D. Davis, R. P. Bagozzi, and P. R. Warshaw. User acceptance of computer technology: a comparison of two theoretical models. Management science, 35(8):982-1003, 1989.
8. M. E. Glickman. Parameter estimation in large dynamic paired comparison experiments. Journal of the Royal Statistical Society: Series C (Applied Statistics), 48(3):377-394, 1999.
9. S. Hanenberg. Faith, hope, and love: an essay on software science's neglect of human factors. In Proceedings of the ACM International Conference on Object-Oriented Programming Systems, Languages, and Applications (OOPSLA), 2010.
10. B. C. Hardgrave and R. A. Johnson. Toward an information systems development acceptance model: the case of objectoriented systems development. IEEE Trans. Engr. Management, 50(3), 2003.
11. Q. Hardy. Technology workers are young (really young). http://bits.blogs.nytimes.com/2013/07/05/technology-workers-are-young-really- young/, 2013.
12. S. Karus and H. Gall. A study of language usage evolution in open source software. In Proceedings of the 8th Working Conference on Mining Software Repositories (MSR), 2011.
13. D. R. MacIver. The hammer principle. http://hammerprinciple.com/ therighttool, 2010.
14. L. A. Meyerovich and A. Rabkin. How not to survey developers and repositories: experiences analyzing language adoption. In Workshop on Evaluation and usability of programming languages and tools (PLATEAU), 2012.
15. L. A. Meyerovich and A. Rabkin. Socio-PLT: Principles for programming language adoption. In Onward!, 2012.
16. F. Morandat, B. Hill, L. Osvald, and J. Vitek. Evaluating the design of the R language. In European Conference on Object-Oriented Programming (ECOOP), 2012.
17. S. Okur and D. Dig. How do developers use parallel libraries? In Foundations of Software Engineering (FSE), 2012.
18. C. Parnin, C. Bird, and E. Murphy-Hill. Java generics adoption: how new features are introduced, championed, or ignored. In Proceedings of the 8th Working Conference on Mining Software Repositories (MSR), 2011.
19. D. Patitucci. Gender and programming language preferences of computer programming students at moraine valley community college. Master of Science, Old Dominion University, 2005.
20. G. Richards, C. Hammer, B. Burg, and J. Vitek. The eval that men do: A large-scale study of the use of eval in JavaScript applications. In European Conference on Object-Oriented Programming (ECOOP), 2011.
21. C. K. Riemenschneider, B. C. Hardgrave, and F. D. Davis. Explaining software developer acceptance of methodologies: A comparison of five theoretical models. IEEE Trans. Software Eng., 28, 2002.
22. E. Rogers. Diffusion of innovations. Free Press., New York, NY, 1995.
23. C. Scaffidi, M. Shaw, and B. Myers. Estimating the numbers of end users and end user programmers. In IEEE Symposium on Visual Languages and Human-Centric Computing, pages 207-214, 2005.
24. S. Sutton. Predicting and explaining intentions and behavior: How well are we doing? Journal of Applied Social Psychology, 28(15):1317-1338, 2006.
25. V. Venkatesh, M. G. Morris, G. B. Davis, and F. D. Davis. User acceptance of information technology: Toward a unified view. MIS quarterly, pages 425-478, 2003.