@InProceedings{MacielSouFalFelVij:2018:SyLiRe,
author = "Maciel, Claudia P. C. and Souza, {\'E}rica Ferreira de and Falbo,
Ricardo de Almeida and Felizardo, Katia Romero and Vijaykumar,
Nandamudi Lankalapalli",
affiliation = "{Universidade Tecnol{\'o}gica Federal do Paran{\'a} (UTFPR)} and
{Universidade Tecnol{\'o}gica Federal do Paran{\'a} (UTFPR)} and
{Universidade Federal do Esp{\'{\i}}rito Santo (UFES)} and
{Universidade Tecnol{\'o}gica Federal do Paran{\'a} (UTFPR)} and
{Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Knowledge management diagnostics in software development
organizations: A systematic literature review",
booktitle = "Proceedings...",
year = "2018",
editor = "Society, Brazilian Computer (SBC)",
pages = "141--150",
organization = "Brazilian Symposium on Software Quality (SBQS), 17.",
publisher = "Association for Computing Machinery",
note = "{ACM International Conference Proceeding Series}",
keywords = "Software Engineering, Knowledge Management, Knowledge Management
Diagnostic.",
abstract = "Context: Managing knowledge is one of the main challenges for
software development organizations. Thus, the principles of
Knowledge Management (KM) are presented as determinant and
effective factors for the software product quality. There are
several approaches to applying KM in an organization. However, for
a KM approaches to succeed, it is important to conduct a KM
diagnostic in order to analyze the KM current state that already
exists in the organization. Objective: The objective of this paper
is to present the results of a Systematic Literature Review (SLR)
conducted to summarize existing research on KM diagnostic in
software development organizations. Method: SLR was performed by
searching four electronic databases. We also performed backward
snowballing from reference lists of selected studies. Results:
From the SLR, we identified 24 studies addressing investigated
differents approaches related to KM diagnostics in software
development organizations. Conclusion: Based on our results we
conclude that in the software engineering context the KM diagnosis
practice still does not seem consolidated.",
conference-location = "Curitiba, PR",
conference-year = "17-19 out.",
doi = "10.1145/3275245.3275260",
url = "http://dx.doi.org/10.1145/3275245.3275260",
isbn = "978-145036565-9",
language = "en",
targetfile = "maciel_knowledge.pdf",
urlaccessdate = "27 abr. 2024"
}