@InProceedings{FelizardoSilSouVijNak:2018:EmRe,
author = "Felizardo, Katia Romero and Silva, Anderson Y. Iwazaki da and
Souza, {\'E}rica Ferreira de and Vijaykumar, Nandamudi
Lankalapalli and Nakagawa, Elisa Yumi",
affiliation = "{Universidade Tecnol{\'o}gica Federal do Paran{\'a} (UTFPR)} and
{niversidade Tecnol{\'o}gica Federal do Paran{\'a} (UTFPR)} and
{niversidade Tecnol{\'o}gica Federal do Paran{\'a} (UTFPR)} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Universidade de S{\~a}o Paulo (USP)}",
title = "Evaluating strategies for forward snowballing application to
support secondary studies updates: emergent Results",
booktitle = "Anais...",
year = "2018",
pages = "184--189",
organization = "Congresso Brasileiro de Software, 9. (CBSOFT)",
keywords = "Systematic Literature Review, Secondary Studies, Forward
Snowballing, Update, Search Evidence.",
abstract = "Context: Secondary studies should be updated from time to time to
include new evidence to preserve their value. It is recognized
that one search technique to update secondary studies is forward
snowballing and that the number of studies identified is dependent
on the electronic databases selected. However, there is no
consensus on what electronic database is most appropriate for
applying forward snowballing. Objective: The main goal of this
study is to evaluate the use of different electronic databases for
applying forward snowballing to update secondary studies. Method:
Six updates were performed using forward snowballing with support
from two electronic databases, one specific (IEEE Xplore) and the
other generic (Google Scholar) and three combinations were
evaluated to obtain new evidence during secondary studies
updating: (1) searching using Google Scholar as electronic
database; (2) searching using IEEE Xplore as electronic database;
and (3) searching using both, IEEE Xplore and Google Scholar as
complementary electronic databases. Results: The use of a specific
electronic database is not indicated for forward snowballing
application to update SLRs, since many relevant studies may not be
identified. However, the use of a generic database is sufficient
to discover the majority of the studies. Conclusions: The emergent
contribution of our work to the body of knowledge in the SLR field
is to add empirical evidence regarding the use of different
electronic databases to support forward snowballing application
during secondary studies updates. These results should help
reviewers when they decide to find evidences to update their
SLRs.",
conference-location = "S{\~a}o Carlos, SP",
conference-year = "17-21 set.",
language = "en",
targetfile = "felizardo_evaluating.pdf",
urlaccessdate = "27 abr. 2024"
}