License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.SLATE.2019.11
URN: urn:nbn:de:0030-drops-108781
URL: https://drops.dagstuhl.de/opus/volltexte/2019/10878/
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Aragão, Martinho ; Pereira, Maria João Varanda ; Henriques, Pedro Rangel

Scaling up a Programmers' Profile Tool

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OASIcs-SLATE-2019-11.pdf (0.5 MB)


Abstract

The style of programming, the proficiency on the programming language, the conciseness of the solution, the use of comments and so on, allow comparison of programmers through static analysis of their code. The Programmer Profiler Tool, which has been commonly named PP Tool, is an open source profiling tool for Java language where the programmer's ability can be classified in one out of five possible profiles and the distinction among them falls upon the levels of both skill and readability. Taking a set of correct solutions the comparison between solutions for the same problems is fundamental to evaluate proficiency on the analysed criteria. As such, there was a need to tune the tool in order to handle, simultaneously, with a bigger amount of programs and with a wider scope of solutions. By scaling up PP Tool it will be possible to apply it in a far wider scope of situations as it will be able to cope with programmers from different geographies, with or without formal education, between 1 and 20 years of experience amongst other factors. For that, a set of features were implemented and tested and are described in this paper.

BibTeX - Entry

@InProceedings{arago_et_al:OASIcs:2019:10878,
  author =	{Martinho Arag{\~a}o and Maria Jo{\~a}o Varanda Pereira and Pedro Rangel Henriques},
  title =	{{Scaling up a Programmers' Profile Tool}},
  booktitle =	{8th Symposium on Languages, Applications and Technologies (SLATE 2019)},
  pages =	{11:1--11:8},
  series =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-114-6},
  ISSN =	{2190-6807},
  year =	{2019},
  volume =	{74},
  editor =	{Ricardo Rodrigues and Jan Janousek and Lu{\'\i}s Ferreira and Lu{\'\i}sa Coheur and Fernando Batista and Hugo Gon{\c{c}}alo Oliveira},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2019/10878},
  URN =		{urn:nbn:de:0030-drops-108781},
  doi =		{10.4230/OASIcs.SLATE.2019.11},
  annote =	{Keywords: Programmers Profiling, Code Analysis, Programming Skills, Code Readability}
}

Keywords: Programmers Profiling, Code Analysis, Programming Skills, Code Readability
Collection: 8th Symposium on Languages, Applications and Technologies (SLATE 2019)
Issue Date: 2019
Date of publication: 24.07.2019


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