[Publicações] Seknow - A Tool for Automation of Knowledge Management Diagnostics in Software Development Companies

A Tool for Automation of Knowledge Management Diagnostics in Software Development Companies

Vinicius dos Santos¹, João Gabriel Salgado², Érica Ferreira Souza³
Katia Romero Felizardo ², Nandamudi Lankalapalli Vijaykumar ³


¹ Institute of Mathematical and Computational Sciences (ICMC)
University of São Paulo (USP)
São Carlos, SP – Brazil

² Department of Computer, Federal Technological University of Paraná (UTFPR)
Cornélio Procópio, PR – Brazil

³ Laboratory of Computing and Applied Mathematics
National Institute for Space Research (INPE)
Institute of Science Technology Federal University of S˜ao Paulo (UNIFESP)
São José dos Campos, SP – Brazil


vinicius.dos.santos@usp.br,jgs1884@gmail.com, ericasouza@utfpr.edu.br
katiascannavino@utfpr.edu.br, vijay.nl@inpe.br


Abstract: Knowledge Management (KM) is responsible for using the intellectual resources of an organization. KM principles are both determining and effective factors for the software product quality. Several KM process have been proposed in the literature. However, for a KM initiative to be successful, it is important to consider the current state of KM activities in a company. In this context, the objective of this work is to measure KM activities in software engineering companies by means of a tool that automates the process of KM diagnosis. This paper presents the \underline{S}oftware \underline{E}ngineering \underline{KNOW}ledge management diagnosis (SEKNOW) tool, its main functionalities, the potential users profile and examples of use. In addition, we show how the architecture was implemented in order to make the tool extensible to multiple diagnostics and how the companies can employ the tool to fetch data to their systems. Finally, we present similar tools and compare their functionalities.



[Publicações] Seknow - A Tool for Automation of Knowledge Management Diagnostics in Software Development Companies [Publicações] Seknow - A Tool for Automation of Knowledge Management Diagnostics in Software Development Companies Reviewed by Vinicius dos Santos on 11:03:00 Rating: 5

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