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

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Show simple item record Poza Carrascto, Jesús Manuel Moreno Pelayo, Valentín Fraga Vázquez, Anabel Álvarez Rodríguez, José María 2022-03-23T16:31:34Z 2022-03-23T16:31:34Z 2021-12-01
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.
dc.identifier.issn 2076-3417
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.
dc.language.iso eng
dc.publisher MDPI
dc.rights © 2021 by the authors
dc.rights Atribución 3.0 España
dc.subject.other text patterns
dc.subject.other genetic algorithms
dc.subject.other knowledge reuse
dc.subject.other requirements authoring
dc.subject.other requirements engineering
dc.title Genetic algorithms: a practical approach to generate textual patterns for requirements authoring
dc.type article
dc.subject.eciencia Informática
dc.rights.accessRights openAccess
dc.type.version publishedVersion
dc.identifier.publicationfirstpage 1
dc.identifier.publicationissue 23
dc.identifier.publicationlastpage 19
dc.identifier.publicationtitle Applied Sciences (Switzerland)
dc.identifier.publicationvolume 11
dc.identifier.uxxi AR/0000028853
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