Prioritization of Software and System Requirements through Natural Language Processing for Testing Software

Detalhes bibliográficos
Autor(a) principal: Leitão, Vasco Mascarenhas Paula Bastos
Data de Publicação: 2021
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10451/51304
Resumo: Tese de mestrado, Ciência de Dados, Universidade de Lisboa, Faculdade de Ciências, 2021
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spelling Prioritization of Software and System Requirements through Natural Language Processing for Testing SoftwareEngenharia de softwareTestagem de softwareProcessamento de linguagem naturalExtração de regras de associaçãoSistemas de recomendaçãoTeses de mestrado - 2021Departamento de InformáticaTese de mestrado, Ciência de Dados, Universidade de Lisboa, Faculdade de Ciências, 2021Safety¬critical systems have been a constant and increased presence in industrial production, such as railways and vehicles. These systems are highly configurable and must be intensively tested by system engineers before being deliverable to customers. This process is highly time¬consuming and might require associations between the product features and requirements demanded by customers. Requirement prioritization looks to recognize the most relevant requirements of a system, aiming to reduce the costs and time of the testing process. Machine Learning has been shown useful in helping engineers in this task, automating associations between features and requirements. However, its application can be more difficult when requirements are written in natural language and if a ground truth dataset does not exist with them. In our work, we present ARRINA, a Natural Language Processing¬based recommendation system able to extract and associate components from safety¬critical systems with their specifications written in natural language and process customer requirements and map them to components. The system integrates a Weight Association Rule Mining framework to extract the components and their associations and generates visualizations that can help engineers understand which components are generally introduced in project requirements. The system also includes a recommendation framework that can associate in put requirements to existing subsystems, reducing engineers’ effort in terms of requirement analysis and prioritization. We performed several experiments to evaluate the different components of ARRINA over four railway’s subsystems and input requirements. As a result, the system achieved 90% of accuracy, which denotes its importance in reducing the time¬consuming of engineers in discovering the correct subsystem links and prioritizing requirements for the testing process.Medeiros, Ibéria Vitória de Sousa, 1971-Repositório da Universidade de LisboaLeitão, Vasco Mascarenhas Paula Bastos2022-02-15T11:27:09Z202120212021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10451/51304TID:202934730enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-08T16:55:55Zoai:repositorio.ul.pt:10451/51304Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:02:37.156733Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Prioritization of Software and System Requirements through Natural Language Processing for Testing Software
title Prioritization of Software and System Requirements through Natural Language Processing for Testing Software
spellingShingle Prioritization of Software and System Requirements through Natural Language Processing for Testing Software
Leitão, Vasco Mascarenhas Paula Bastos
Engenharia de software
Testagem de software
Processamento de linguagem natural
Extração de regras de associação
Sistemas de recomendação
Teses de mestrado - 2021
Departamento de Informática
title_short Prioritization of Software and System Requirements through Natural Language Processing for Testing Software
title_full Prioritization of Software and System Requirements through Natural Language Processing for Testing Software
title_fullStr Prioritization of Software and System Requirements through Natural Language Processing for Testing Software
title_full_unstemmed Prioritization of Software and System Requirements through Natural Language Processing for Testing Software
title_sort Prioritization of Software and System Requirements through Natural Language Processing for Testing Software
author Leitão, Vasco Mascarenhas Paula Bastos
author_facet Leitão, Vasco Mascarenhas Paula Bastos
author_role author
dc.contributor.none.fl_str_mv Medeiros, Ibéria Vitória de Sousa, 1971-
Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Leitão, Vasco Mascarenhas Paula Bastos
dc.subject.por.fl_str_mv Engenharia de software
Testagem de software
Processamento de linguagem natural
Extração de regras de associação
Sistemas de recomendação
Teses de mestrado - 2021
Departamento de Informática
topic Engenharia de software
Testagem de software
Processamento de linguagem natural
Extração de regras de associação
Sistemas de recomendação
Teses de mestrado - 2021
Departamento de Informática
description Tese de mestrado, Ciência de Dados, Universidade de Lisboa, Faculdade de Ciências, 2021
publishDate 2021
dc.date.none.fl_str_mv 2021
2021
2021-01-01T00:00:00Z
2022-02-15T11:27:09Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10451/51304
TID:202934730
url http://hdl.handle.net/10451/51304
identifier_str_mv TID:202934730
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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