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dc.date.accessioned 2021-05-19T16:19:03Z
dc.date.available 2021-05-19T16:19:03Z
dc.date.issued 2020
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/119037
dc.description.abstract 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. en
dc.format.extent 41-47 es
dc.language en es
dc.subject User Acceptance Tests es
dc.subject Scenarios es
dc.subject Task/Method model es
dc.subject Agriculture Production es
dc.title Tool support for Generating User Acceptance Tests en
dc.type Objeto de conferencia es
sedici.identifier.isbn 978-84-18321-00-9 es
sedici.creator.person Camilleri, Guy es
sedici.creator.person Antonelli, Rubén Leandro es
sedici.creator.person Zarate, Pascale es
sedici.creator.person Gardey, Juan Cruz es
sedici.creator.person Martín, Jonathan es
sedici.creator.person Sakka, Amir es
sedici.creator.person Torres, Diego es
sedici.creator.person Fernández, Alejandro es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Laboratorio de Investigación y Formación en Informática Avanzada es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.date.exposure 2020
sedici.relation.event 6th International Conference on Decision Support System Technology (ICDSST 2020) (University of Zaragoza, Spain, 27th-29th May 2020) es
sedici.description.peerReview peer-review es
sedici.relation.isRelatedWith https://icdsst2020.files.wordpress.com/2020/05/icdsst-2020-proceedings.pdf es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)