Software Reliability models for the first stage of Software Projects

Autores
Barraza, Néstor Rubén; Tugnarelli, Mariano
Año de publicación
2018
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
A software reliability analysis for the first stage of software projects is presented. At this very first stage of testing we expect an increasing failure rate, where the usual software reliability growth models based on non homogeneous Poisson processes like the Goel-Okumoto or Musa-Okumoto can not be applied. However, our analysis involves some models that combine reliability growth with increasing failure rates like the logistic and delayed S-shaped models. Our analysis also includes a new model based on contagion as in the increasing failure rate as in the reliability growth stages. We point out that increasing failure rate stages are important to be modeled since corrective actions can be taken soon and also that this characteristics highlights under modern development methodologies which development is performed simultaneously as testing, like in Agile and TDD (Test driven development). Results of the application of those models to real datasets is shown.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
software reliability
increasing failure rate
contagion
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-sa/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/70875

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network_name_str SEDICI (UNLP)
spelling Software Reliability models for the first stage of Software ProjectsBarraza, Néstor RubénTugnarelli, MarianoCiencias Informáticassoftware reliabilityincreasing failure ratecontagionA software reliability analysis for the first stage of software projects is presented. At this very first stage of testing we expect an increasing failure rate, where the usual software reliability growth models based on non homogeneous Poisson processes like the Goel-Okumoto or Musa-Okumoto can not be applied. However, our analysis involves some models that combine reliability growth with increasing failure rates like the logistic and delayed S-shaped models. Our analysis also includes a new model based on contagion as in the increasing failure rate as in the reliability growth stages. We point out that increasing failure rate stages are important to be modeled since corrective actions can be taken soon and also that this characteristics highlights under modern development methodologies which development is performed simultaneously as testing, like in Agile and TDD (Test driven development). Results of the application of those models to real datasets is shown.Sociedad Argentina de Informática e Investigación Operativa2018-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf87-97http://sedici.unlp.edu.ar/handle/10915/70875enginfo:eu-repo/semantics/altIdentifier/url/http://47jaiio.sadio.org.ar/sites/default/files/ASSE-8.pdfinfo:eu-repo/semantics/altIdentifier/issn/2451-7593info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-sa/3.0/Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-22T16:52:21Zoai:sedici.unlp.edu.ar:10915/70875Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-22 16:52:21.306SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Software Reliability models for the first stage of Software Projects
title Software Reliability models for the first stage of Software Projects
spellingShingle Software Reliability models for the first stage of Software Projects
Barraza, Néstor Rubén
Ciencias Informáticas
software reliability
increasing failure rate
contagion
title_short Software Reliability models for the first stage of Software Projects
title_full Software Reliability models for the first stage of Software Projects
title_fullStr Software Reliability models for the first stage of Software Projects
title_full_unstemmed Software Reliability models for the first stage of Software Projects
title_sort Software Reliability models for the first stage of Software Projects
dc.creator.none.fl_str_mv Barraza, Néstor Rubén
Tugnarelli, Mariano
author Barraza, Néstor Rubén
author_facet Barraza, Néstor Rubén
Tugnarelli, Mariano
author_role author
author2 Tugnarelli, Mariano
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
software reliability
increasing failure rate
contagion
topic Ciencias Informáticas
software reliability
increasing failure rate
contagion
dc.description.none.fl_txt_mv A software reliability analysis for the first stage of software projects is presented. At this very first stage of testing we expect an increasing failure rate, where the usual software reliability growth models based on non homogeneous Poisson processes like the Goel-Okumoto or Musa-Okumoto can not be applied. However, our analysis involves some models that combine reliability growth with increasing failure rates like the logistic and delayed S-shaped models. Our analysis also includes a new model based on contagion as in the increasing failure rate as in the reliability growth stages. We point out that increasing failure rate stages are important to be modeled since corrective actions can be taken soon and also that this characteristics highlights under modern development methodologies which development is performed simultaneously as testing, like in Agile and TDD (Test driven development). Results of the application of those models to real datasets is shown.
Sociedad Argentina de Informática e Investigación Operativa
description A software reliability analysis for the first stage of software projects is presented. At this very first stage of testing we expect an increasing failure rate, where the usual software reliability growth models based on non homogeneous Poisson processes like the Goel-Okumoto or Musa-Okumoto can not be applied. However, our analysis involves some models that combine reliability growth with increasing failure rates like the logistic and delayed S-shaped models. Our analysis also includes a new model based on contagion as in the increasing failure rate as in the reliability growth stages. We point out that increasing failure rate stages are important to be modeled since corrective actions can be taken soon and also that this characteristics highlights under modern development methodologies which development is performed simultaneously as testing, like in Agile and TDD (Test driven development). Results of the application of those models to real datasets is shown.
publishDate 2018
dc.date.none.fl_str_mv 2018-09
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info:eu-repo/semantics/publishedVersion
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dc.language.none.fl_str_mv eng
language eng
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info:eu-repo/semantics/altIdentifier/issn/2451-7593
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-sa/3.0/
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87-97
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repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
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