RT Journal Article
T1 Genetic algorithms: a practical approach to generate textual patterns for requirements authoring
A1 Poza Carrasco, Jesús Manuel
A1 Moreno Pelayo, Valentín
A1 Fraga Vázquez, Anabel
A1 Álvarez Rodríguez, José María
AB 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.
PB MDPI
SN 2076-3417
YR 2021
FD 2021-12-01
LK https://hdl.handle.net/10016/34451
UL https://hdl.handle.net/10016/34451
LA eng
DS e-Archivo
RD 30 jun. 2024