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A Systematic Literature Review on Prioritizing Software Test Cases Using Markov Chains

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dc.contributor.authorBarbosa, G. [UNESP]
dc.contributor.authorSouza, É.
dc.contributor.authorRebelo, L.
dc.contributor.authorSilva, M.
dc.contributor.authorBalera, J.
dc.contributor.authorVijaykumar, N.
dc.contributor.editorSilvia Bonfanti, Angelo Gargantini, Paolo Salvaneschi
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)pt
dc.date.accessioned2026-08-25T12:13:23Z
dc.date.issued2023-09-19
dc.description.abstractSoftware 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 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. This journal-first paper provides an overview of a systematic survey of the state-of-the-art to identify and understand key initiatives for using Markov chains in TCP.
dc.description.affiliationUniversidade Estadual Paulista - Unesp, Guaratinguetá, Brazil
dc.description.affiliationInstituto Nacional de Pesquisas Espaciais - INPE, São José dos Campos, Brazil
dc.description.affiliationUniversidade Tecnológica Federal do Paraná - UTFPR, Cornélio Procópio, Brazil
dc.description.affiliationInstituto Federal de Educação, Ciência e Tecnologia de São Paulo - IFSP, Jacareí-Campos do Jordão, Brazil
dc.description.affiliationGran Sasso Science Institute - GSSI, L’Aquila, Italy
dc.description.affiliationUnespUniversidade Estadual Paulista - Unesp, Guaratinguetá, Brazil
dc.identifierhttps://app.dimensions.ai/details/publication/pub.1164179657
dc.identifier.bookDoi10.1007/978-3-031-43240-8
dc.identifier.dimensionspub.1164179657
dc.identifier.doi10.1007/978-3-031-43240-8_20
dc.identifier.isbn978-3-031-43239-2
dc.identifier.isbn978-3-031-43240-8
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.orcid0000-0002-1147-2519
dc.identifier.orcid0000-0001-7262-7863
dc.identifier.orcid0000-0002-6413-7888
dc.identifier.orcid0000-0001-6481-5362
dc.identifier.orcid0000-0002-9025-0841
dc.identifier.urihttps://hdl.handle.net/11449/330153
dc.publisherSpringer Nature
dc.relation.ispartofLecture Notes in Computer Science; v. 14131; p. 179-182
dc.relation.ispartofTesting Software and Systems
dc.relation.ispartofseriesLecture Notes in Computer Science
dc.rights.accessRightsAcesso restritopt
dc.rights.sourceRightsclosed
dc.sourceDimensions
dc.titleA Systematic Literature Review on Prioritizing Software Test Cases Using Markov Chains
dc.typeCapítulo de livropt
dspace.entity.typePublication
relation.isOrgUnitOfPublicationa4071986-4355-47c3-a5a3-bd4d1a966e4f
relation.isOrgUnitOfPublication.latestForDiscoverya4071986-4355-47c3-a5a3-bd4d1a966e4f
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Engenharia e Ciências, Guaratinguetápt

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Guaratinguetá - FEG - Faculdade de Engenharia e Ciências