Utilize este identificador para referenciar este registo: http://hdl.handle.net/10198/14903
Título: Program analysis for clustering programmers’ profile
Autor: Novais, Daniel
Pereira, Maria João
Henriques, Pedro
Palavras-chave: Source code analysis
Programmer profile
Data: 2017
Editora: Polish Academy of Sciences
Citação: Novais, Daniel; Pereira, Maria João; Henriques, Pedro (2017) - Program analysis for clustering programmers’ profile. In WAPL 2017- 6th Workshop on Advances in Programming Languages (FedCSIS). Praga: IEEE. p. 701-705. ISBN 978-8-3946-2537-5
Resumo: Each programmer has his own way of programming but some criteria can be applied when analysing code: there are a set of best practices that can be checked, or ”not so common” instructions that are mainly used by experts that can be found. Considering that all programs that are going to be compared are correct, it’s possible to infer the experience level of the programmer or the proficiency level of the solution. The approach presented in this paper has as main goal to compare sets of solutions to the same problem and infer the programmers profile. This can be used to evaluate the programmer skills, the proficiency on a given language or evaluate programming students. A tool to automatically profiling Java programmers called PP (Programmer Profiler) is presented in this paper as a proof of concept. I
Peer review: yes
URI: http://hdl.handle.net/10198/14903
ISBN: 978-8-3946-2537-5
Aparece nas colecções:ESTiG - Publicações em Proceedings Indexadas à WoS/Scopus

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