DocumentCode :
2347083
Title :
OSS developers context-specific Preferred Representational systems: A initial Neurolinguistic text analysis of the Apache mailing list
Author :
Junior, Misael C. ; Mendonça, Manoel ; Farias, Mario ; Henrique, Paulo
Author_Institution :
Software Eng. Lab. (LES), Fed. Univ. of Bahia, Salvador, Brazil
fYear :
2010
fDate :
2-3 May 2010
Firstpage :
126
Lastpage :
129
Abstract :
Open Source Software (OSS) mailing lists are used by developers to discuss software engineering tasks performed in the project. In the last years, researchers have been conducting mailing lists linguistic analyses for understanding the intricacies of OSS development. An unpublished approach for that is to use NeuroLinguistic Theory (NT). NT postulates the use of a Preferred Representational cognitive System (PRS) in specific contexts. This means that different resources and cognitive channels are used by developers in order to understand software, but what types of representational systems are the preferred by software engineers? This paper introduces a psychometrically-based neuro-linguistic analysis tool to classify developers, and presents early results of an experiment to assess the PRS of four top developers against a baseline of the Apache server mailing list.
Keywords :
cognitive systems; data mining; knowledge representation languages; linguistics; public domain software; text analysis; Apache mailing list; OSS developers; context specific preferred representational cognitive system; neurolinguistic theory; open source software mailing lists; psychometrically based neurolinguistic text analysis tool; software engineering; Cognition; Context; Laboratories; Open source software; Programming profession; Psychology; Software engineering; Software maintenance; Text analysis; Text mining; Neurolinguistic; Open Source; Software Comprehension; Text Mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mining Software Repositories (MSR), 2010 7th IEEE Working Conference on
Conference_Location :
Cape Town
Print_ISBN :
978-1-4244-6802-7
Electronic_ISBN :
978-1-4244-6803-4
Type :
conf
DOI :
10.1109/MSR.2010.5463339
Filename :
5463339
Link To Document :
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