Model elements identification using neural networks: a comprehensive study

Modeling of natural language requirements, especially for a large system, can take a significant amount of effort and time. Many automated model-driven approaches partially address this problem. However, the application of state-of-the-art neural network architectures to automated model element iden...

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Bibliographic Details
Published in:	Requirements engineering Vol. 26; no. 1; pp. 67 - 96
Main Authors:	Madala, Kaushik, Piparia, Shraddha, Blanco, Eduardo, Do, Hyunsook, Bryce, Renee
Format:	Journal Article
Language:	English
Published:	London Springer London 01-03-2021 Springer Nature B.V
Subjects:	Annotations Artificial neural networks Automation Computer architecture Computer Science Empirical analysis Neural networks Original Article Recurrent neural networks Software Engineering Requirements analysis Sequence labeling Component state transition diagrams Automated requirements modeling Neural networks Empirical study
Online Access:	Get full text
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