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Metadados

1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34T/46LJ7KS
Repositóriosid.inpe.br/mtc-m21d/2022/04.07.18.40   (acesso restrito)
Última Atualização2022:04.07.18.40.07 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21d/2022/04.07.18.40.07
Última Atualização dos Metadados2023:01.03.16.46.04 (UTC) administrator
DOI10.1016/j.infsof.2022.106902
ISSN0950-5849
Chave de CitaçãoBarbosaSoSaSiBaVi:2022:SyLiRe
TítuloA Systematic Literature Review on prioritizing software test cases using Markov chains
Ano2022
MêsJuly
Data de Acesso05 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho831 KiB
2. Contextualização
Autor1 Barbosa, Gerson
2 Souza, Érica Ferreira de
3 Santos, Luciana Brasil Rebelo dos
4 Silva, Marlon da
5 Balera, Juliana Marino
6 Vijaykumar, Nandamudi Lankalapalli
Identificador de Curriculo1
2
3
4
5
6 8JMKD3MGP5W/3C9JHTU
Grupo1
2
3
4
5 CAP-COMP-DIPGR-INPE-MCTI-GOV-BR
6 COPDT-CGIP-INPE-MCTI-GOV-BR
Afiliação1 Universidade Estadual Paulista (UNESP)
2 Universidade Tecnológica Federal do Paraná (UTFPR)
3 Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)
4 Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
6 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 gerson.barbosa@unesp.br
2 ericasouza@utfpr.edu.br
3 lurebelo@ifsp.edu.br
4 marlon.silva@ifsp.edu.br
5 juliana.balera@inpe.br
6 vijay.nl@inpe.br
RevistaInformation and Software Technology
Volume147
Páginase106902
Nota SecundáriaA2_MEDICINA_I A2_CIÊNCIA_DA_COMPUTAÇÃO B1_INTERDISCIPLINAR B2_SOCIOLOGIA
Histórico (UTC)2022-04-07 18:41:13 :: simone -> administrator :: 2022
2023-01-03 16:46:04 :: administrator -> simone :: 2022
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveMarkov Chains
Systematic Literature Review
Test case prioritization
ResumoContext: Software Testing is a costly activity since the size of the test case set tends to increase as the construction of the software evolves. Test Case Prioritization (TCP) can reduce the effort and cost of software testing. TCP is an activity where a subset of the existing test cases is selected in order to maximize the possibility of finding defects. On the other hand, Markov Chains representing a reactive system, when solved, can present the occupation time of each of their states. The idea is to use such information and associate priority to those test cases that consist of states with the highest probabilities. Objective: The objective of this paper is to conduct a survey to identify and understand key initiatives for using Markov Chains in TCP. Aspects such as approaches, developed techniques, programming languages, analytical and simulation results, and validation tests are investigated. Methods: A Systematic Literature Review (SLR) was conducted considering studies published up to July 2021 from five different databases to answer the three research questions. Results: From SLR, we identified 480 studies addressing Markov Chains in TCP that have been reviewed in order to extract relevant information on a set of research questions. Conclusion: The final 12 studies analyzed use Markov Chains at some stage of test case prioritization in a distinct way, that is, we found that there is no strong relationship between any of the studies, not only on how the technique was used but also in the context of the application. Concerning the fields of application of this subject, 6 forms of approach were found: Controlled Markov Chain, Usage Model, Model-Based Test, Regression Test, Statistical Test, and Random Test. This demonstrates the versatility and robustness of the tool. A large part of the studies developed some prioritization tool, being its validation done in some cases analytically and in others numerically, such as: Measure of the software specification, Optimal Test Transition Probabilities, Adaptive Software Testing, Automatic Prioritization, Ant Colony Optimization, Model Driven approach, and Monte Carlo Random Testing.
ÁreaCOMP
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4. Condições de acesso e uso
Idiomaen
Arquivo AlvoBarbosa_2022.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3F2PHGS
8JMKD3MGPCW/46KUES5
Lista de Itens Citandosid.inpe.br/bibdigital/2022/04.03.23.11 3
sid.inpe.br/bibdigital/2013/10.12.22.16 3
sid.inpe.br/mtc-m21/2012/07.13.14.56.50 1
DivulgaçãoWEBSCI; PORTALCAPES; SCOPUS.
Acervo Hospedeirourlib.net/www/2021/06.04.03.40
6. Notas
Campos Vaziosalternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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