Program analysis for Clustering Programmers' Profile

Bibliographic Details
Main Author: Novais, Daniel José Ferreira
Publication Date: 2017
Other Authors: Pereira, Maria João Varanda, Henriques, Pedro Rangel
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/1822/65658
Summary: 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.
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spelling Program analysis for Clustering Programmers' ProfileScience & TechnologyEach 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.This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT - Fundacao para a Ciencia e Tecnologia within the Project Scope: UID/CEC/00319/2013.IEEEUniversidade do MinhoNovais, Daniel José FerreiraPereira, Maria João VarandaHenriques, Pedro Rangel20172017-01-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/1822/65658engProceedings of the 2017 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 11, pages 701–705 (2017)97883946253752325-034810.15439/2017F147info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-11T05:38:47Zoai:repositorium.sdum.uminho.pt:1822/65658Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T15:25:10.363536Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Program analysis for Clustering Programmers' Profile
title Program analysis for Clustering Programmers' Profile
spellingShingle Program analysis for Clustering Programmers' Profile
Novais, Daniel José Ferreira
Science & Technology
title_short Program analysis for Clustering Programmers' Profile
title_full Program analysis for Clustering Programmers' Profile
title_fullStr Program analysis for Clustering Programmers' Profile
title_full_unstemmed Program analysis for Clustering Programmers' Profile
title_sort Program analysis for Clustering Programmers' Profile
author Novais, Daniel José Ferreira
author_facet Novais, Daniel José Ferreira
Pereira, Maria João Varanda
Henriques, Pedro Rangel
author_role author
author2 Pereira, Maria João Varanda
Henriques, Pedro Rangel
author2_role author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Novais, Daniel José Ferreira
Pereira, Maria João Varanda
Henriques, Pedro Rangel
dc.subject.por.fl_str_mv Science & Technology
topic Science & Technology
description 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.
publishDate 2017
dc.date.none.fl_str_mv 2017
2017-01-01T00:00:00Z
dc.type.driver.fl_str_mv conference paper
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/65658
url http://hdl.handle.net/1822/65658
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 11, pages 701–705 (2017)
9788394625375
2325-0348
10.15439/2017F147
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dc.publisher.none.fl_str_mv IEEE
publisher.none.fl_str_mv IEEE
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