Tool support for Generating User Acceptance Tests

Autores
Camilleri, Guy; Antonelli, Rubén Leandro; Zarate, Pascale; Gardey, Juan Cruz; Martín, 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.
Laboratorio de Investigación y Formación en Informática Avanzada
Materia
Ciencias Informáticas
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
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/119037

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network_name_str SEDICI (UNLP)
spelling Tool support for Generating User Acceptance TestsCamilleri, GuyAntonelli, Rubén LeandroZarate, PascaleGardey, Juan CruzMartín, JonathanSakka, AmirTorres, DiegoFernández, AlejandroCiencias InformáticasUser 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.Laboratorio de Investigación y Formación en Informática Avanzada2020info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf41-47http://sedici.unlp.edu.ar/handle/10915/119037enginfo:eu-repo/semantics/altIdentifier/isbn/978-84-18321-00-9info:eu-repo/semantics/reference/url/https://icdsst2020.files.wordpress.com/2020/05/icdsst-2020-proceedings.pdfinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:28:04Zoai:sedici.unlp.edu.ar:10915/119037Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:28:04.871SEDICI (UNLP) - Universidad Nacional de La Platafalse
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 Informáticas
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, Rubén Leandro
Zarate, Pascale
Gardey, Juan Cruz
Martín, Jonathan
Sakka, Amir
Torres, Diego
Fernández, Alejandro
author Camilleri, Guy
author_facet Camilleri, Guy
Antonelli, Rubén Leandro
Zarate, Pascale
Gardey, Juan Cruz
Martín, Jonathan
Sakka, Amir
Torres, Diego
Fernández, Alejandro
author_role author
author2 Antonelli, Rubén Leandro
Zarate, Pascale
Gardey, Juan Cruz
Martín, Jonathan
Sakka, Amir
Torres, Diego
Fernández, Alejandro
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
User Acceptance Tests
Scenarios
Task/Method model
Agriculture Production
topic Ciencias Informáticas
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.
Laboratorio de Investigación y Formación en Informática Avanzada
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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http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/119037
url http://sedici.unlp.edu.ar/handle/10915/119037
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-84-18321-00-9
info:eu-repo/semantics/reference/url/https://icdsst2020.files.wordpress.com/2020/05/icdsst-2020-proceedings.pdf
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
41-47
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
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repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
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