A model for dealing with epistemic uncertainties in agile software project management
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Tipo de documento: | Tese |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFPE |
Texto Completo: | https://repositorio.ufpe.br/handle/123456789/52022 |
Resumo: | Since agile methods began to be used for software development, project managers have been looking for ways to improve these projects. Agility coexists with uncertainty, as one of the agile project’s principles is the possibility of rapid change. Uncertainty quantification allows comparative purposes and evaluating alternative approaches to real-world problems in manag- ing uncertainty. Some recent studies show that current approaches to managing uncertainty organize known project information but give little or no indication of the unknown information or uncertainties associated with the project. These uncertainty management approaches do not consider the quantitative aspect of uncertainty management beyond the interrelationships between sources of uncertainty in software projects. This thesis aims to build a model to deal with epistemic uncertainties based on quantification approaches. In addition, it seeks to iden- tify interdependent relationships between sources of uncertainty in the agile management of software projects. The method used in this work was action research conducted to investigate the quantification of epistemic uncertainty in the real context of software engineering design. The author also conducted a quasi-systematic literature review to support action research searching for approaches to quantify epistemic uncertainty in software projects. The applica- tion of the method illustrates the benefit of applying uncertainty quantification approaches to reduce and prioritize epistemic uncertainties in software projects. Applying the above re- search methods resulted in the construction of a model to quantify epistemic uncertainty in software projects. This thesis also discusses the impact of a proposed model for dealing with epistemic uncertainty management. These results share findings that can help agile software teams improve their uncertainty handling. |
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BARBOSA, Jefferson Ferreirahttp://lattes.cnpq.br/9441692553425964http://lattes.cnpq.br/9906166020816798http://lattes.cnpq.br/3362360567612060MOURA, Hermano Perrelli deMARINHO, Marcelo Luiz Monteiro2023-08-22T17:35:04Z2023-08-22T17:35:04Z2023-02-03BARBOSA, Jefferson Ferreira. A model for dealing with epistemic uncertainties in agile software project management. 2023. Tese (Doutorado em Ciência da Computação) – Universidade Federal de Pernambuco, Recife, 2023.https://repositorio.ufpe.br/handle/123456789/52022Since agile methods began to be used for software development, project managers have been looking for ways to improve these projects. Agility coexists with uncertainty, as one of the agile project’s principles is the possibility of rapid change. Uncertainty quantification allows comparative purposes and evaluating alternative approaches to real-world problems in manag- ing uncertainty. Some recent studies show that current approaches to managing uncertainty organize known project information but give little or no indication of the unknown information or uncertainties associated with the project. These uncertainty management approaches do not consider the quantitative aspect of uncertainty management beyond the interrelationships between sources of uncertainty in software projects. This thesis aims to build a model to deal with epistemic uncertainties based on quantification approaches. In addition, it seeks to iden- tify interdependent relationships between sources of uncertainty in the agile management of software projects. The method used in this work was action research conducted to investigate the quantification of epistemic uncertainty in the real context of software engineering design. The author also conducted a quasi-systematic literature review to support action research searching for approaches to quantify epistemic uncertainty in software projects. The applica- tion of the method illustrates the benefit of applying uncertainty quantification approaches to reduce and prioritize epistemic uncertainties in software projects. Applying the above re- search methods resulted in the construction of a model to quantify epistemic uncertainty in software projects. This thesis also discusses the impact of a proposed model for dealing with epistemic uncertainty management. These results share findings that can help agile software teams improve their uncertainty handling.Desde que os métodos ágeis começaram a ser utilizados para o desenvolvimento de software, os gerentes de projeto têm buscado maneiras de melhorar esses tipos de projetos. A agilidade coexiste com a incerteza, pois um dos princípios do projeto ágil é a possibilidade de mudanças rápidas. A quantificação da incerteza permite a comparação e avaliação de abordagens alterna- tivas para problemas do mundo real no gerenciamento da incertezas. Alguns estudos recentes mostram que as abordagens atuais para gerenciar a incerteza organizam as informações con- hecidas do projeto, mas dão pouca ou nenhuma atenção as informações desconhecidas ou incertezas associadas ao projeto. Essas abordagens de gerenciamento de incerteza não con- sideram o aspecto quantitativo do gerenciamento de incertezas além das inter-relações entre fontes de incerteza em projetos de software. Esta tese visa construir um modelo para lidar com incertezas epistêmicas com base em abordagens quantitativas. Além disso, busca identi- ficar relacionamentos interdependentes entre fontes de incerteza na gestão ágil de projetos de software. O método utilizado neste trabalho foi a pesquisa-ação conduzida para investigar a quantificação da incerteza epistêmica no contexto real de projetos de engenharia de software. O autor também realizou uma revisão quase sistemática da literatura para apoiar a pesquisa- ação em busca de abordagens para quantificar a incerteza epistêmica em projetos de software. A aplicação do método ilustra o benefício de aplicar abordagens de quantificação de incertezas para reduzir e priorizar incertezas epistêmicas em projetos de software. A aplicação dos méto- dos de pesquisa acima resultaram na construção de um modelo para quantificar a incerteza epistêmica em projetos de software. Esta tese também discute o impacto do modelo proposto ao lidar com a gestão da incerteza epistêmica. Esses resultados compartilham descobertas que podem ajudar as equipes de software ágil a melhorar seu gerenciamento de incertezas.engUniversidade Federal de PernambucoPrograma de Pos Graduacao em Ciencia da ComputacaoUFPEBrasilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/info:eu-repo/semantics/openAccessEngenharia de software e Linguagens de programaçãoGerenciamento de projetos de softwareIncerteza epistêmicaQuantificação da incertezaGestão ágilA model for dealing with epistemic uncertainties in agile software project managementinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisdoutoradoreponame:Repositório Institucional da UFPEinstname:Universidade Federal de Pernambuco (UFPE)instacron:UFPEORIGINALTESE Jefferson Ferreira Barbosa.pdfTESE Jefferson Ferreira Barbosa.pdfapplication/pdf2740629https://repositorio.ufpe.br/bitstream/123456789/52022/1/TESE%20Jefferson%20Ferreira%20Barbosa.pdf00730e6b2883ff1e7f7ca026359ef8dfMD51LICENSElicense.txtlicense.txttext/plain; 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dc.title.pt_BR.fl_str_mv |
A model for dealing with epistemic uncertainties in agile software project management |
title |
A model for dealing with epistemic uncertainties in agile software project management |
spellingShingle |
A model for dealing with epistemic uncertainties in agile software project management BARBOSA, Jefferson Ferreira Engenharia de software e Linguagens de programação Gerenciamento de projetos de software Incerteza epistêmica Quantificação da incerteza Gestão ágil |
title_short |
A model for dealing with epistemic uncertainties in agile software project management |
title_full |
A model for dealing with epistemic uncertainties in agile software project management |
title_fullStr |
A model for dealing with epistemic uncertainties in agile software project management |
title_full_unstemmed |
A model for dealing with epistemic uncertainties in agile software project management |
title_sort |
A model for dealing with epistemic uncertainties in agile software project management |
author |
BARBOSA, Jefferson Ferreira |
author_facet |
BARBOSA, Jefferson Ferreira |
author_role |
author |
dc.contributor.authorLattes.pt_BR.fl_str_mv |
http://lattes.cnpq.br/9441692553425964 |
dc.contributor.advisorLattes.pt_BR.fl_str_mv |
http://lattes.cnpq.br/9906166020816798 |
dc.contributor.advisor-coLattes.pt_BR.fl_str_mv |
http://lattes.cnpq.br/3362360567612060 |
dc.contributor.author.fl_str_mv |
BARBOSA, Jefferson Ferreira |
dc.contributor.advisor1.fl_str_mv |
MOURA, Hermano Perrelli de |
dc.contributor.advisor-co1.fl_str_mv |
MARINHO, Marcelo Luiz Monteiro |
contributor_str_mv |
MOURA, Hermano Perrelli de MARINHO, Marcelo Luiz Monteiro |
dc.subject.por.fl_str_mv |
Engenharia de software e Linguagens de programação Gerenciamento de projetos de software Incerteza epistêmica Quantificação da incerteza Gestão ágil |
topic |
Engenharia de software e Linguagens de programação Gerenciamento de projetos de software Incerteza epistêmica Quantificação da incerteza Gestão ágil |
description |
Since agile methods began to be used for software development, project managers have been looking for ways to improve these projects. Agility coexists with uncertainty, as one of the agile project’s principles is the possibility of rapid change. Uncertainty quantification allows comparative purposes and evaluating alternative approaches to real-world problems in manag- ing uncertainty. Some recent studies show that current approaches to managing uncertainty organize known project information but give little or no indication of the unknown information or uncertainties associated with the project. These uncertainty management approaches do not consider the quantitative aspect of uncertainty management beyond the interrelationships between sources of uncertainty in software projects. This thesis aims to build a model to deal with epistemic uncertainties based on quantification approaches. In addition, it seeks to iden- tify interdependent relationships between sources of uncertainty in the agile management of software projects. The method used in this work was action research conducted to investigate the quantification of epistemic uncertainty in the real context of software engineering design. The author also conducted a quasi-systematic literature review to support action research searching for approaches to quantify epistemic uncertainty in software projects. The applica- tion of the method illustrates the benefit of applying uncertainty quantification approaches to reduce and prioritize epistemic uncertainties in software projects. Applying the above re- search methods resulted in the construction of a model to quantify epistemic uncertainty in software projects. This thesis also discusses the impact of a proposed model for dealing with epistemic uncertainty management. These results share findings that can help agile software teams improve their uncertainty handling. |
publishDate |
2023 |
dc.date.accessioned.fl_str_mv |
2023-08-22T17:35:04Z |
dc.date.available.fl_str_mv |
2023-08-22T17:35:04Z |
dc.date.issued.fl_str_mv |
2023-02-03 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/doctoralThesis |
format |
doctoralThesis |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
BARBOSA, Jefferson Ferreira. A model for dealing with epistemic uncertainties in agile software project management. 2023. Tese (Doutorado em Ciência da Computação) – Universidade Federal de Pernambuco, Recife, 2023. |
dc.identifier.uri.fl_str_mv |
https://repositorio.ufpe.br/handle/123456789/52022 |
identifier_str_mv |
BARBOSA, Jefferson Ferreira. A model for dealing with epistemic uncertainties in agile software project management. 2023. Tese (Doutorado em Ciência da Computação) – Universidade Federal de Pernambuco, Recife, 2023. |
url |
https://repositorio.ufpe.br/handle/123456789/52022 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/3.0/br/ info:eu-repo/semantics/openAccess |
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http://creativecommons.org/licenses/by-nc-nd/3.0/br/ |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Universidade Federal de Pernambuco |
dc.publisher.program.fl_str_mv |
Programa de Pos Graduacao em Ciencia da Computacao |
dc.publisher.initials.fl_str_mv |
UFPE |
dc.publisher.country.fl_str_mv |
Brasil |
publisher.none.fl_str_mv |
Universidade Federal de Pernambuco |
dc.source.none.fl_str_mv |
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