Automated Extraction of Non‐Functional Requirements From Text Files: A Supervised Learning Approach-Reference-Cited by-同舟云学术

Automated Extraction of Non‐Functional Requirements From Text Files: A Supervised Learning Approach

Published:2022-02-11 Issue: Volume: Page:149-170
ISSN:
Container-title:Handbook of Intelligent Computing and Optimization for Sustainable Development
language:
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Author:

Kumar M. Sunil,Harika A.,Sushama C.,Neelima P.

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/9781119792642.ch8

Reference11 articles.

1. Marinho M.et al. A Systematic Approach of Dataset Definition for a Supervised Machine Learning Using NFR Framework.2018 11th International Conference on the Quality of Information and Communications Technology (QUATIC) IEEE 2018.

2. Kurtanović Z.andMaalej W. Automatically classifying functional and non‐functional requirements using supervised machine learning.2017 IEEE 25th International Requirements Engineering Conference (RE) IEEE 2017.

3. Identification of non-functional requirements in textual specifications: A semi-supervised learning approach

4. Slankas J.andWilliams L. Automated extraction of non‐functional requirements in available documentation.2013 1st International Workshop on Natural Language Analysis in Software Engineering (NaturaLiSE) IEEE 2013.

5. Zhang W.et al. An empirical study on classification of non‐functional requirements.The twenty‐third international conference on software engineering and knowledge engineering (SEKE2011) 2011.

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