Tool support for Generating User Acceptance Tests

Autores
Camilleri, Guy; Antonelli, Leandro; Zarate, Pascale; Gardey, Juan Cruz; Martin, Jonathan; Sakka, Amir; Torres, Diego; Fernández, Alejandro
Año de publicación
2020
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Software testing, in particular acceptance testing, is a very important step in the development process of any application since it represents a way of matching the users’ expectations with the finished product´s capabilities. Typically considered as a cumbersome activity, many efforts have been made to alleviate the burden of writing tests by, for instance, trying to generate them automatically. However, testing still remains a largely neglected step. In this paper we propose taking advantage of existing requirement artifacts to semi-automatically generate acceptance tests. This paper extends a previous paper in which we use Scenarios, a requirement artifact used to describe business processes and requirements, and Task/Method models, a modelling approach taken from the Artificial Intelligence field. The proposed approach derives a Task/Method model from Scenario (through rules) and from the Task/Method model specification, all alternatives in the flow of execution are provided. Using the proposed ideas, we show how the semi-automated generation of acceptance tests can be implemented by describing an ongoing development of a proof of concept web application designed to support the full process.
Materia
Ciencias de la Información y Bioinformática
User Acceptance Tests
Scenarios
Task/Method model
Agriculture Production
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
CIC Digital (CICBA)
Institución
Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
OAI Identificador
oai:digital.cic.gba.gob.ar:11746/10938

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network_name_str CIC Digital (CICBA)
spelling Tool support for Generating User Acceptance TestsCamilleri, GuyAntonelli, LeandroZarate, PascaleGardey, Juan CruzMartin, JonathanSakka, AmirTorres, DiegoFernández, AlejandroCiencias de la Información y BioinformáticaUser Acceptance TestsScenariosTask/Method modelAgriculture ProductionSoftware testing, in particular acceptance testing, is a very important step in the development process of any application since it represents a way of matching the users’ expectations with the finished product´s capabilities. Typically considered as a cumbersome activity, many efforts have been made to alleviate the burden of writing tests by, for instance, trying to generate them automatically. However, testing still remains a largely neglected step. In this paper we propose taking advantage of existing requirement artifacts to semi-automatically generate acceptance tests. This paper extends a previous paper in which we use Scenarios, a requirement artifact used to describe business processes and requirements, and Task/Method models, a modelling approach taken from the Artificial Intelligence field. The proposed approach derives a Task/Method model from Scenario (through rules) and from the Task/Method model specification, all alternatives in the flow of execution are provided. Using the proposed ideas, we show how the semi-automated generation of acceptance tests can be implemented by describing an ongoing development of a proof of concept web application designed to support the full process.2020info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttps://digital.cic.gba.gob.ar/handle/11746/10938enghttps://icdsst2020.files.wordpress.com/2020/05/icdsst-2020-proceedings.pdfinfo:eu-repo/semantics/altIdentifier/hdl/10915/119037info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/reponame:CIC Digital (CICBA)instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Airesinstacron:CICBA2025-09-29T13:39:54Zoai:digital.cic.gba.gob.ar:11746/10938Institucionalhttp://digital.cic.gba.gob.arOrganismo científico-tecnológicoNo correspondehttp://digital.cic.gba.gob.ar/oai/snrdmarisa.degiusti@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:94412025-09-29 13:39:54.282CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Airesfalse
dc.title.none.fl_str_mv Tool support for Generating User Acceptance Tests
title Tool support for Generating User Acceptance Tests
spellingShingle Tool support for Generating User Acceptance Tests
Camilleri, Guy
Ciencias de la Información y Bioinformática
User Acceptance Tests
Scenarios
Task/Method model
Agriculture Production
title_short Tool support for Generating User Acceptance Tests
title_full Tool support for Generating User Acceptance Tests
title_fullStr Tool support for Generating User Acceptance Tests
title_full_unstemmed Tool support for Generating User Acceptance Tests
title_sort Tool support for Generating User Acceptance Tests
dc.creator.none.fl_str_mv Camilleri, Guy
Antonelli, Leandro
Zarate, Pascale
Gardey, Juan Cruz
Martin, Jonathan
Sakka, Amir
Torres, Diego
Fernández, Alejandro
author Camilleri, Guy
author_facet Camilleri, Guy
Antonelli, Leandro
Zarate, Pascale
Gardey, Juan Cruz
Martin, Jonathan
Sakka, Amir
Torres, Diego
Fernández, Alejandro
author_role author
author2 Antonelli, Leandro
Zarate, Pascale
Gardey, Juan Cruz
Martin, Jonathan
Sakka, Amir
Torres, Diego
Fernández, Alejandro
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Ciencias de la Información y Bioinformática
User Acceptance Tests
Scenarios
Task/Method model
Agriculture Production
topic Ciencias de la Información y Bioinformática
User Acceptance Tests
Scenarios
Task/Method model
Agriculture Production
dc.description.none.fl_txt_mv Software testing, in particular acceptance testing, is a very important step in the development process of any application since it represents a way of matching the users’ expectations with the finished product´s capabilities. Typically considered as a cumbersome activity, many efforts have been made to alleviate the burden of writing tests by, for instance, trying to generate them automatically. However, testing still remains a largely neglected step. In this paper we propose taking advantage of existing requirement artifacts to semi-automatically generate acceptance tests. This paper extends a previous paper in which we use Scenarios, a requirement artifact used to describe business processes and requirements, and Task/Method models, a modelling approach taken from the Artificial Intelligence field. The proposed approach derives a Task/Method model from Scenario (through rules) and from the Task/Method model specification, all alternatives in the flow of execution are provided. Using the proposed ideas, we show how the semi-automated generation of acceptance tests can be implemented by describing an ongoing development of a proof of concept web application designed to support the full process.
description Software testing, in particular acceptance testing, is a very important step in the development process of any application since it represents a way of matching the users’ expectations with the finished product´s capabilities. Typically considered as a cumbersome activity, many efforts have been made to alleviate the burden of writing tests by, for instance, trying to generate them automatically. However, testing still remains a largely neglected step. In this paper we propose taking advantage of existing requirement artifacts to semi-automatically generate acceptance tests. This paper extends a previous paper in which we use Scenarios, a requirement artifact used to describe business processes and requirements, and Task/Method models, a modelling approach taken from the Artificial Intelligence field. The proposed approach derives a Task/Method model from Scenario (through rules) and from the Task/Method model specification, all alternatives in the flow of execution are provided. Using the proposed ideas, we show how the semi-automated generation of acceptance tests can be implemented by describing an ongoing development of a proof of concept web application designed to support the full process.
publishDate 2020
dc.date.none.fl_str_mv 2020
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
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info:ar-repo/semantics/documentoDeConferencia
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dc.identifier.none.fl_str_mv https://digital.cic.gba.gob.ar/handle/11746/10938
url https://digital.cic.gba.gob.ar/handle/11746/10938
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://icdsst2020.files.wordpress.com/2020/05/icdsst-2020-proceedings.pdf
info:eu-repo/semantics/altIdentifier/hdl/10915/119037
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
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dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:CIC Digital (CICBA)
instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
instacron:CICBA
reponame_str CIC Digital (CICBA)
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instname_str Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
instacron_str CICBA
institution CICBA
repository.name.fl_str_mv CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
repository.mail.fl_str_mv marisa.degiusti@sedici.unlp.edu.ar
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