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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Leading successful government-academia collaborations using FLOSS and agile values

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Autor(es):
Wen, Melissa [1] ; Siqueira, Rodrigo [1] ; Lago, Nelson [1] ; Camarinha, Diego [1] ; Terceiro, Antonio [2] ; Kon, Fabio [1] ; Meirelles, Paulo [3, 1]
Número total de Autores: 7
Afiliação do(s) autor(es):
[1] Univ Sao Paulo, IME, Sao Paulo - Brazil
[2] Linaro Ltd, Sao Paulo - Brazil
[3] Fed Univ Sao Paulo UNIFESP, Sao Paulo - Brazil
Número total de Afiliações: 3
Tipo de documento: Artigo Científico
Fonte: JOURNAL OF SYSTEMS AND SOFTWARE; v. 164, JUN 2020.
Citações Web of Science: 0
Resumo

Government and academia share concerns for efficiently and effectively servicing societal demands, which includes the development of e-government software. Government-academia partnerships can be a valuable approach for improving productivity in achieving these goals. However, governmental and academic institutions tend to have very different agendas and organizational and managerial structures, which can hinder the success of such collaborative projects. In order to identify effective approaches to overcome collaboration barriers, we systematically studied the case of the Brazilian Public Software portal project, a 30-month government-academia collaboration that, using Free/Libre/Open Source Software practices and agile methods for project management, developed an unprecedented platform in the context of the Brazilian government. We gathered information from experience reports and data collection from repositories and interviews to derive a collection of practices that contributed to the success of the collaboration. In this paper, we describe how the data analysis led to the identification of a set of three high-level decisions supported by the adoption of nine best practices that improved the project performance and enabled professional training of the whole team. (C) 2020 Elsevier Inc. All rights reserved. (AU)

Processo FAPESP: 14/50937-1 - INCT 2014: da Internet do Futuro
Beneficiário:Fabio Kon
Modalidade de apoio: Auxílio à Pesquisa - Temático