Um estudo sobre diagnóstico de gestão de conhecimento em empresas de desenvolvimento de software no Brasil

Abstract

Context: The diagnosis of Knowledge Management (KM) is essential to understand how knowledge is captured, shared, and applied in software development organizations. The existing literature presents several approaches and tools focused on software engineering, but there is still a need for updating and deepening this understanding. Furthermore, models such as the Seven Dimensions of KM, proposed by Terra (2005), enable a broader qualitative analysis of KM maturity within companies. Objective: This study aims to update a Systematic Literature Review (SLR) on knowledge management diagnostics in Software Engineering and to apply the Seven Dimensions of KM Model in Brazilian companies in the sector, in order to identify good practices, gaps, and opportunities for improvement. Method: The research was conduc- ted in two main stages: (i) updating an Systematic Literature Review (SLR), including the use of forward and backward snowballing; and (ii) a qualitative application of a diagnostic model through semi-structured interviews with professionals from technology companies. Results: The upda- ted SLR made it possible to map the main diagnostic approaches used in Software Engineering, highlighting the predominance of studies focused on process improvement and the reduction of knowledge loss. The application of the model revealed a high level of maturity in the KM practices of the analyzed companies, especially in dimensions related to organizational culture, learning, and people management, although challenges remain regarding results measurement and the formalization of information systems.