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Industrial and OSS developers’ profiles: a family of experiments to evaluate a pioneering neuro-linguistic method for preferred representational systems automatic detection

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Bibliographic Details
Published in:Journal of the Brazilian Computer Society
Format: Online Article RSS Article
Published: 2021
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container_title Journal of the Brazilian Computer Society
description
discipline_display Computer Science
discipline_facet Computer Science
format Online Article
RSS Article
genre Journal Article
id rss_article:78557
institution FRELIP
journal_source_facet Journal of the Brazilian Computer Society
last_indexed 2026-06-20T21:39:56.259Z
publishDate 2021
publishDateSort 2021
record_format rss_article
spellingShingle Industrial and OSS developers’ profiles: a family of experiments to evaluate a pioneering neuro-linguistic method for preferred representational systems automatic detection
Computer Science
General
Computer Science
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Science
General
Computer Science
subject_facet Computer Science
General
Computer Science
title Industrial and OSS developers’ profiles: a family of experiments to evaluate a pioneering neuro-linguistic method for preferred representational systems automatic detection
title_alt Perfiles de desarrolladores industriales y de OSS: una familia de experimentos para evaluar un método neuro-lingüístico pionero para la detección automática de sistemas representacionales preferidos
Profils des développeurs industriels et OSS : une famille d'expériences pour évaluer une méthode neuro-linguistique pionnière de détection automatique des systèmes de représentation préférés
Perfis de desenvolvedores industriais e de OSS: uma família de experimentos para avaliar um método neuro-linguístico pioneiro para detecção automática de sistemas representacionais preferenciais
title_auth Industrial and OSS developers’ profiles: a family of experiments to evaluate a pioneering neuro-linguistic method for preferred representational systems automatic detection
title_es_txt Perfiles de desarrolladores industriales y de OSS: una familia de experimentos para evaluar un método neuro-lingüístico pionero para la detección automática de sistemas representacionales preferidos
title_fr_txt Profils des développeurs industriels et OSS : une famille d'expériences pour évaluer une méthode neuro-linguistique pionnière de détection automatique des systèmes de représentation préférés
title_full Industrial and OSS developers’ profiles: a family of experiments to evaluate a pioneering neuro-linguistic method for preferred representational systems automatic detection
title_fullStr Industrial and OSS developers’ profiles: a family of experiments to evaluate a pioneering neuro-linguistic method for preferred representational systems automatic detection
title_full_unstemmed Industrial and OSS developers’ profiles: a family of experiments to evaluate a pioneering neuro-linguistic method for preferred representational systems automatic detection
title_pt_txt Perfis de desenvolvedores industriais e de OSS: uma família de experimentos para avaliar um método neuro-linguístico pioneiro para detecção automática de sistemas representacionais preferenciais
title_short Industrial and OSS developers’ profiles: a family of experiments to evaluate a pioneering neuro-linguistic method for preferred representational systems automatic detection
title_sort industrial and oss developers’ profiles: a family of experiments to evaluate a pioneering neuro-linguistic method for preferred representational systems automatic detection
topic Computer Science
General
Computer Science
url https://link.springer.com/article/10.1186/s13173-021-00107-9