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

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URI: https://hdl.handle.net/10016/34451
ISSN: 2076-3417
DOI: https://doi.org/10.3390/app112311378
UXXI: AR/0000028853
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genetic_AS_2021.pdf (2.14 MB)
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2021-12-01
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MDPI
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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.
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text patterns, genetic algorithms, knowledge reuse, requirements authoring, requirements engineering
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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
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