Knowledge Management for Promoting Update of Systematic Literature Reviews: An Experience Report

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Felizardo, Katia R. ; de Souza, Erica F. ; Malacrida, Tamiris ; Napoleao, Bianca M. ; Petrillo, Fabio ; Halle, Sylvain ; Vijaykumar, Nandamudi L. ; Nakagawa, Elisa Y. ; Martini, A ; Wimmer, M ; Skavhaug, A

• Tipo de documento: Artigo Científico
• Fonte: 2020 46TH EUROMICRO CONFERENCE ON SOFTWARE ENGINEERING AND ADVANCED APPLICATIONS (SEAA 2020); v. N/A, p. 8-pg., 2020-01-01.

Resumo

Context: Systematic Literature Reviews (SLRs) are important instruments for both Software Engineering (SE) practitioners and scientific community. Their value directly depends on their quality and up-to-date results. However, most of the SLRs are outdated and the current scenario on how SLRs are documented does not favor their updating process. Goal: In this scenario, the main goal of this paper is to present an experience report on how to transfer the know-how of SLRs to facilitate their updates. Method: To address this issue, we used a Knowledge Management (KM) model, known as Nonaka-Takeuchi model, and described how we instantiated the Model for SLR update. We use two SLRs updates conducted by us to illustrate some of the knowledge sharing issues. Results: Our examples showed that the introduction of the concept of KM in the SLR update is in fact valuable, especially for sharing tacit knowledge (decisions) taken throughout the review process. Conclusions: We conclude that KM principles can be applied to manage the knowledge generated during the update of SLR. (AU)

• Processo FAPESP: 15/24144-7 - Tecnologias e soluções para habilitar o paradigma de nuvens de coisas
• Beneficiário: José Neuman de Souza
• Modalidade de apoio: Auxílio à Pesquisa - Temático