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
- Institución
- Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
- OAI Identificador
- oai:digital.cic.gba.gob.ar:11746/10938
Ver los metadatos del registro completo
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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 http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
format |
conferenceObject |
status_str |
publishedVersion |
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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http://creativecommons.org/licenses/by-nc-sa/4.0/ |
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application/pdf |
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reponame:CIC Digital (CICBA) instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Aires instacron:CICBA |
reponame_str |
CIC Digital (CICBA) |
collection |
CIC Digital (CICBA) |
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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score |
13.070432 |