A Modelling Approach to Generating User Acceptance Tests
| cic.institucionOrigen | Laboratorio de Investigación y Formación en Informática Avanzada (LIFIA) | es |
| cic.isFulltext | true | es |
| cic.isPeerReviewed | true | es |
| cic.lugarDesarrollo | Laboratorio de Investigación y Formación en Informática Avanzada | es |
| cic.version | info:eu-repo/semantics/publishedVersion | es |
| dc.date.accessioned | 2021-03-19T14:48:03Z | |
| dc.date.available | 2021-03-19T14:48:03Z | |
| dc.identifier.uri | https://digital.cic.gba.gob.ar/handle/11746/10836 | |
| dc.title | A Modelling Approach to Generating User Acceptance Tests | en |
| dc.type | Documento de conferencia | es |
| dcterms.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 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. | en |
| dcterms.creator.author | Antonelli, Leandro | es |
| dcterms.creator.author | Camilleri, Guy | es |
| dcterms.creator.author | Grigera, Julián | es |
| dcterms.creator.author | Hozikian, Mariángeles | es |
| dcterms.creator.author | Sauvage, Cécile | es |
| dcterms.creator.author | Zaraté, Pascale | es |
| dcterms.identifier.url | Recurso completo | es |
| dcterms.isPartOf.series | 4th International Conference on Decision Support Systems Technologies (ICDSST 2018) | es |
| dcterms.issued | 2018 | |
| dcterms.language | Inglés | es |
| dcterms.license | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | es |
| dcterms.subject | User Acceptance Tests, Scenarios, | en |
| dcterms.subject | Task/Method model | en |
| dcterms.subject | Agriculture Production Systems | en |
| dcterms.subject.materia | Ciencias de la Computación | es |
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