Publication: Genetic algorithms: a practical approach to generate textual patterns for requirements authoring
dc.affiliation.dpto | UC3M. Departamento de Informática | es |
dc.affiliation.grupoinv | UC3M. Grupo de Investigación: Knowledge Reusing | es |
dc.contributor.author | Poza Carrasco, Jesús Manuel | |
dc.contributor.author | Moreno Pelayo, Valentín | |
dc.contributor.author | Fraga Vázquez, Anabel | |
dc.contributor.author | Álvarez Rodríguez, José María | |
dc.date.accessioned | 2022-03-23T16:31:34Z | |
dc.date.available | 2022-03-23T16:31:34Z | |
dc.date.issued | 2021-12-01 | |
dc.description.abstract | The 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.bibliographicCitation | Poza, 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/app112311378 | en |
dc.identifier.doi | https://doi.org/10.3390/app112311378 | |
dc.identifier.issn | 2076-3417 | |
dc.identifier.publicationfirstpage | 1 | |
dc.identifier.publicationissue | 23 | |
dc.identifier.publicationlastpage | 19 | |
dc.identifier.publicationtitle | Applied Sciences (Switzerland) | en |
dc.identifier.publicationvolume | 11 | |
dc.identifier.uri | https://hdl.handle.net/10016/34451 | |
dc.identifier.uxxi | AR/0000028853 | |
dc.language.iso | eng | |
dc.publisher | MDPI | |
dc.rights | © 2021 by the authors | en |
dc.rights | Atribución 3.0 España | |
dc.rights.accessRights | open access | en |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | |
dc.subject.eciencia | Informática | es |
dc.subject.other | text patterns | en |
dc.subject.other | genetic algorithms | en |
dc.subject.other | knowledge reuse | en |
dc.subject.other | requirements authoring | en |
dc.subject.other | requirements engineering | en |
dc.title | Genetic algorithms: a practical approach to generate textual patterns for requirements authoring | en |
dc.type | research article | * |
dc.type.hasVersion | VoR | * |
dspace.entity.type | Publication |
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