An ontology-based learning approach for automatically classifying security requirements-Reference-Cited by-同舟云学术

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An ontology-based learning approach for automatically classifying security requirements

Published:2020-07 Issue: Volume:165 Page:110566
ISSN:0164-1212
Container-title:Journal of Systems and Software
language:en
Short-container-title:Journal of Systems and Software

Author:

Li Tong^ORCID,Chen Zhishuai

Funder

National Natural Science of Foundation of China

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Software

Reference45 articles.

1. What works better? A study of classifying requirements;Abad,2017

2. The description logic handbook: theory, implementation and applications;Baader,2003

3. Modern Information Retrieval;Baeza-Yates,1999

4. The case for dumb requirements engineering tools;Berry;Requir. Eng.,2012

5. A review of machine learning algorithms for identification and classification of non-functional requirements;Binkhonain;Expert Syst. Appl,2019

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1. Managing security evidence in safety-critical organizations;Journal of Systems and Software;2024-08

2. Lessons from the Use of Natural Language Inference (NLI) in Requirements Engineering Tasks;2024 IEEE 32nd International Requirements Engineering Conference (RE);2024-06-24

3. Ontology Design for Requirements Engineering;2024 International Conference on Intelligent Systems and Computer Vision (ISCV);2024-05-08

4. Onto-CARMEN: Ontology-driven approach for Cyber–Physical System Security Requirements meta-modelling and reasoning;Internet of Things;2023-12

5. Federated learning for feature-fusion based requirement classification;Cluster Computing;2023-10-09

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