As redes de pesquisa impulsionam a criação do conhecimento e o processo de inovação resultantes do intercâmbio de informações e, sobretudo, da junção de competências de grupos que unem esforços na busca de metas comuns. Este artigo apresenta breve histórico dos estudos relativos às redes de colaboração científica, sua evolução cronológica e as principais abordagens de estudo. Discute-se particularmente como as análises de redes de pesquisa podem ser revisitadas à luz das possibilidades recentes surgidas com as novas Tecnologias de Informação e de Comunicação (TICs). Para tal, apresentam-se exemplos de sistemas de conhecimento no âmbito da Plataforma Lattes: Egressos, Colaboradores e Redes-GP. Esses sistemas permitem executar, com grandes volumes de dados, análises de redes por meio de algoritmos descritos na literatura, bem como criar novas formas de análise possibilitadas pelas TICs.

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With the dissemination of quality models and the need for measurement-based management for software organizations, a variety of approaches and models are emerging to support organizations on this journey. According to a Systematic Review of Literature that selected 30 of 692 papers returned from search sources, it was noticed the need for guidelines and guides regarding the measurement process in a specific sector: micro and small companies that work with software maintenance. In this work, an empirical study was carried out to understand how the measurement process aligned with quality models can be implemented in these organizations. The field study followed the implementation of an improvement program based on CMMI® level 2 in 7 Brazilian companies from Maringá, Paraná. Finally, it was found that the process for the definition of a measurement guide can be common to a specific group of companies, taking steps and guidelines for its execution, always aligned with the organization’s strategy, giving top management an objective view work and process, supporting decision making.

Atualmente, é fundamental a utilização da Gestão do Conhecimento em empresas que utilizam Desenvolvimento Distribuído de Software (DDS). A evolução e/ou amadurecimento desta gestão podem ser mapeadas em Modelos de Maturidade para Gestão do Conhecimento (KMMM). Este artigo tem como objetivo verificar a influência dos aspectos socioculturais, presentes em DDS, sobre um KMMM. Para tal, procedeu-se a escolha de um KMMM, neste caso o KNM (Knowledge Navigator Model) e executou-se um estudo para identificar a influência dos aspectos socioculturais presentes no DDS. Na análise dos dados, buscou-se o suporte presente na definição do QFD (Quality Function Deployment). Os resultados obtidos evidenciam que os aspectos socioculturais exercem influência sobre as atividades definidas nas áreas-chaves de um KMMM. Além disso, é apontado o nível de influência (forte, moderado, fraco e inexistente) dos aspectos socioculturais identificados.

The geographical, temporal distances and socio-cultural differences are the biggest challenges for Global Software Development (GSD). In GSD, it is necessary to deal with behaviors, values and skills of the team members, conflicts, rework, delays, etc. can influence a software production process. The objective of this paper is to identify the sociocultural aspects and propose a classification structure under different analytical perspectives in order to offer adequate support to the management of GSD teams. A systematic mapping and proposal an approach that classifies aspects in three perspectives: collaboration, people and external. The analysis allows the project manager to make decisions about the performance of human resources and mitigate problems arising from communication, cooperation and coordination, generating better results in indicators of productivity, quality and efficiency of GSD teams.

Software startups work in an uncertain environment with limited resources. Thus, user experience (UX) practices can help startups in their product development process and provide greater chances of survival for these companies. It is necessary to know what UX practices software startups have used, how they are using them, and their effects on the organization. Therefore, this paper aims to present a systematic mapping study (SMS) conducted through search engines and snowballing to identify UX practices used in software startups. The papers’ analysis identified thirty-six UX practices used by startups for product validation, design, and evaluation. However, the most emergent result extracted from the analysis was that only two of these practices were specified for software startups; in contrast, the others could be applied to various company types. In addition, several functions and ways of generating customer value through UX were identified.

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