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Empirical evaluation of the effects of experience on code quality and programmer productivity: an exploratory study
Authors:Oscar Dieste  Alejandrina M Aranda  Fernando Uyaguari  Burak Turhan  Ayse Tosun  Davide Fucci  Markku Oivo  Natalia Juristo
Affiliation:1.Escuela Técnica Superior de Ingenieros en Informática,Universidad Politécnica de Madrid,Boadilla del Monte,Spain;2.Department of Information Processing Science,University of Oulu,Oulu,Finland;3.Faculty of Computer & Informatics,Istanbul Technical University,Istanbul,Turkey
Abstract:

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.

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 programming experience gained in academia does tend to have a positive influence on programmer performance. These two findings may be related to the fact that, as opposed to deliberate practice, routine practice does not appear to lead to improved performance. Experience in the use of productivity tools, such as testing frameworks and IDE also has positive effects.

Conclusion

Years of experience are a poor predictor of programmer performance. Academic background and specialized knowledge of task-related aspects appear to be rather good predictors.
Keywords:
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