Knowledge Management in Agile Software Projects: A Systematic Review

Author:

Yanzer Cabral Anderson R.1,Ribeiro Marcelo Blois2,Noll Rodrigo Perozzo3

Affiliation:

1. ULBRA – University Lutheran of Brazil, Av Farroupilha, 8001, Bairro São José, CEP 92425-900, Canoas – RS, Brazil

2. GE Global Research, Rua Paulo Emidio Barbosa, 485 – Qd 1AParque Tecnológico – Ilha do Fundão, CEP 21941-615 Rio de Janeiro, RJ, Brazil

3. Rio Grande do Sul Federal Institute of Education, Science and Technology (IFRS), Rua Dra. Maria Zélia Carneiro de Figueiredo, 870-A – CEP 92412-240, Canoas – RS, Brazil

Abstract

Many methodologies, practices, techniques and tools have been suggested for process improvement, among them knowledge management and agile methodologies, which are the focus of this study. Systematic reviews published on knowledge management and agile methodologies have significantly contributed to detailed and deep discussions surrounding these issues. Nevertheless, we realised that there was a gap between these two areas that needed further clarification. Therefore, the objective of this study was to raise the main topics that emerge from knowledge management in agile methodologies. The research method used in this paper is based on a systematic review. We reviewed studies of knowledge management and agile methodologies, published in major software engineering journals and conference proceedings. The search strategy identified 2879 studies, of which 25 were selected as primary studies. The main topics were taken from these 25 works and, in order for them to be discussed; meta-analysis techniques were used to group these topics. The main discussion generated around these analyses was the preferential use of tacit knowledge, instead of explicit knowledge, and its influence on agile projects. This situation has implications for communication, human and social factors, software development cycle and artifacts, tools for knowledge management and knowledge representation forms.

Publisher

World Scientific Pub Co Pte Lt

Subject

Library and Information Sciences,Computer Networks and Communications,Computer Science Applications

Reference43 articles.

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4. K. Beck and C. Andres, Extreme Programming Explained: Embrace Change, 2nd edn. (Addison-Wesley, USA, 2004) p. 224.

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