Empirical evaluation of the effects of experience on code quality and programmer productivity: an exploratory study

Empirical evaluation of the effects of experience on code quality and programmer productivity: an... Context There is a widespread belief in both SE and other branches of science that experience helps professionals to improve their performance. However, cases have been reported where experience not only does not have a positive influence but sometimes even degrades the performance of professionals. Communicated by: Richard Paige, Jordi Cabot, and Neil Ernst * Oscar Dieste odieste@fi.upm.es Alejandrina M. Aranda alearanda@gmail.com Fernando Uyaguari fuyaguari01@gmail.com Burak Turhan Burak.Turhan@oulu.fi Ayse Tosun tosunmisirli@itu.edu.tr Davide Fucci Davide.Fucci@oulu.fi Markku Oivo Markku.Oivo@oulu.fi Natalia Juristo Natalia.Juristo@oulu.fi Escuela Técnica Superior de Ingenieros en Informática, Universidad Politécnica de Madrid, Campus de Montegancedo, 28660 Boadilla del Monte, Spain Department of Information Processing Science, University of Oulu, P. O. Box 3000, 90014 Oulu, Finland Faculty of Computer & Informatics, Istanbul Technical University, 34469 MaslakIstanbul, Turkey 2458 Empir Software Eng (2017) 22:2457–2542 Aim Determine whether years of experience influence programmer performance. Method We have analysed 10 quasi-experiments executed both in academia with graduate and postgraduate students and in industry with professionals. The experimental task was to apply ITLD on two experimental problems and then measure external code quality and programmer productivity. Results Programming experience gained in industry does not appear to have any effect whatsoever on quality and productivity. Overall http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Empirical Software Engineering Springer Journals

Empirical evaluation of the effects of experience on code quality and programmer productivity: an exploratory study

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Springer US
Copyright © 2017 by Springer Science+Business Media New York
Computer Science; Software Engineering/Programming and Operating Systems; Programming Languages, Compilers, Interpreters
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