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
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/119019
Ver los metadatos del registro completo
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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 Objeto de conferencia 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/10915/119019 |
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http://sedici.unlp.edu.ar/handle/10915/119019 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
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info:eu-repo/semantics/altIdentifier/hdl/11746/10836 |
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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) |
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openAccess |
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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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application/pdf |
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SEDICI (UNLP) - Universidad Nacional de La Plata |
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