Geodesic
Applying machine learning techniques for requirements quality control
Informacionnye tehnologii i vyčislitelnye sistemy, no. 1 (2023), pp. 87-96.

Voir la notice de l'article provenant de la source Math-Net.Ru

The quality of requirements is critical to the success of complex technical systems projects. The paper presents the main procedures for quality control of requirements and the main directions of instrumental support for quality control of requirements. The shortcomings of the existing tools of instrumental support are listed. To overcome these shortcomings, it is proposed to apply machine learning algorithms. The main directions of research in the field of application of machine learning algorithms in the problems of requirements quality control are proposed. The experimental results obtained by the author, demonstrating the feasibility of the proposed approach, are presented. In some tasks, it was possible to achieve a quality of assessment comparable to that of an expert.
Mots-clés : requirements engineering, requirements quality, machine learning. 
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     author = {K. I. Gaydamaka},
     title = {Applying machine learning techniques for requirements quality control},
     journal = {Informacionnye tehnologii i vy\v{c}islitelnye sistemy},
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     number = {1},
     year = {2023},
     language = {ru},
     url = {https://geodesic-test.mathdoc.fr/item/ITVS_2023_1_a8/}
}
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K. I. Gaydamaka. Applying machine learning techniques for requirements quality control. Informacionnye tehnologii i vyčislitelnye sistemy, no. 1 (2023), pp. 87-96. https://geodesic-test.mathdoc.fr/item/ITVS_2023_1_a8/