A Modelling Approach to Generating User Acceptance Tests

Autores
Antonelli, Rubén Leandro; Camilleri, Guy; Grigera, Julián; Hozikian, Mariángeles; Sauvage, Cécile; Zarate, Pascale
Año de publicación
2018
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 semiautomatically generate acceptance tests. In particular, 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. In order to generate acceptance tests, we propose a set of rules that allow transforming Scenarios (typically expressed in natural language), into Task/Methods that can in turn be used to generate the tests. 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 Systems
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-nd/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/119019

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spelling A Modelling Approach to Generating User Acceptance TestsAntonelli, Rubén LeandroCamilleri, GuyGrigera, JuliánHozikian, MariángelesSauvage, CécileZarate, PascaleCiencias InformáticasUser Acceptance TestsScenariosTask/Method modelAgriculture Production SystemsSoftware 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 semiautomatically generate acceptance tests. In particular, 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. In order to generate acceptance tests, we propose a set of rules that allow transforming Scenarios (typically expressed in natural language), into Task/Methods that can in turn be used to generate the tests. 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 Avanzada2018-05info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/119019enginfo:eu-repo/semantics/altIdentifier/hdl/11746/10836info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:28:04Zoai:sedici.unlp.edu.ar:10915/119019Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:28:04.811SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv A Modelling Approach to Generating User Acceptance Tests
title A Modelling Approach to Generating User Acceptance Tests
spellingShingle A Modelling Approach to Generating User Acceptance Tests
Antonelli, Rubén Leandro
Ciencias Informáticas
User Acceptance Tests
Scenarios
Task/Method model
Agriculture Production Systems
title_short A Modelling Approach to Generating User Acceptance Tests
title_full A Modelling Approach to Generating User Acceptance Tests
title_fullStr A Modelling Approach to Generating User Acceptance Tests
title_full_unstemmed A Modelling Approach to Generating User Acceptance Tests
title_sort A Modelling Approach to Generating User Acceptance Tests
dc.creator.none.fl_str_mv Antonelli, Rubén Leandro
Camilleri, Guy
Grigera, Julián
Hozikian, Mariángeles
Sauvage, Cécile
Zarate, Pascale
author Antonelli, Rubén Leandro
author_facet Antonelli, Rubén Leandro
Camilleri, Guy
Grigera, Julián
Hozikian, Mariángeles
Sauvage, Cécile
Zarate, Pascale
author_role author
author2 Camilleri, Guy
Grigera, Julián
Hozikian, Mariángeles
Sauvage, Cécile
Zarate, Pascale
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
User Acceptance Tests
Scenarios
Task/Method model
Agriculture Production Systems
topic Ciencias Informáticas
User Acceptance Tests
Scenarios
Task/Method model
Agriculture Production Systems
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 semiautomatically generate acceptance tests. In particular, 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. In order to generate acceptance tests, we propose a set of rules that allow transforming Scenarios (typically expressed in natural language), into Task/Methods that can in turn be used to generate the tests. 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 semiautomatically generate acceptance tests. In particular, 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. In order to generate acceptance tests, we propose a set of rules that allow transforming Scenarios (typically expressed in natural language), into Task/Methods that can in turn be used to generate the tests. 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 2018
dc.date.none.fl_str_mv 2018-05
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
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dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/119019
url http://sedici.unlp.edu.ar/handle/10915/119019
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/hdl/11746/10836
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0/
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
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