Publication:
Genetic algorithms: a practical approach to generate textual patterns for requirements authoring

dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Knowledge Reusinges
dc.contributor.authorPoza Carrasco, Jesús Manuel
dc.contributor.authorMoreno Pelayo, Valentín
dc.contributor.authorFraga Vázquez, Anabel
dc.contributor.authorÁlvarez Rodríguez, José María
dc.date.accessioned2022-03-23T16:31:34Z
dc.date.available2022-03-23T16:31:34Z
dc.date.issued2021-12-01
dc.description.abstractThe writing of accurate requirements is a critical factor in assuring the success of a project. Text patterns are knowledge artifacts that are used as templates to guide engineers in the requirements authoring process. However, generating a text pattern set for a particular domain is a time-consuming and costly activity that must be carried out by specialists. This research proposes a method of automatically generating text patterns from an initial corpus of high-quality requirements, using genetic algorithms and a separate-and-conquer strategy to create a complete set of patterns. Our results show this method can generate a valid pattern set suitable for requirements authoring, outperforming existing methods by 233%, with requirements ratio values of 2.87 matched per pattern found; as opposed to 1.23 using alternative methods.en
dc.identifier.bibliographicCitationPoza, J.; Moreno, V.; Fraga, A.; Álvarez-Rodríguez, J.M. Genetic Algorithms: A Practical Approach to Generate Textual Patterns for Requirements Authoring. Appl. Sci. 2021, 11, 11378. https://doi.org/10.3390/app112311378en
dc.identifier.doihttps://doi.org/10.3390/app112311378
dc.identifier.issn2076-3417
dc.identifier.publicationfirstpage1
dc.identifier.publicationissue23
dc.identifier.publicationlastpage19
dc.identifier.publicationtitleApplied Sciences (Switzerland)en
dc.identifier.publicationvolume11
dc.identifier.urihttps://hdl.handle.net/10016/34451
dc.identifier.uxxiAR/0000028853
dc.language.isoeng
dc.publisherMDPI
dc.rights© 2021 by the authorsen
dc.rightsAtribución 3.0 España
dc.rights.accessRightsopen accessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.subject.ecienciaInformáticaes
dc.subject.othertext patternsen
dc.subject.othergenetic algorithmsen
dc.subject.otherknowledge reuseen
dc.subject.otherrequirements authoringen
dc.subject.otherrequirements engineeringen
dc.titleGenetic algorithms: a practical approach to generate textual patterns for requirements authoringen
dc.typeresearch article*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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