OntoReqC: An Ontology Focused Integrative Approach for Classification of Software Requirements
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-8403-6_28
Reference25 articles.
1. Z.A. Barmi, A.H. Ebrahimi, R. Feldt, in Alignment of Requirements Specification and Testing: A Systematic Mapping Study. 2011 IEEE Fourth International Conference on Software Testing, Verification and Validation Workshops (IEEE, 2011 March), pp. 476–485
2. J. Kukkanen, K. Väkeväinen, M. Kauppinen, E. Uusitalo, in Applying a Systematic Approach to Link Requirements and Testing: A Case Study. 2009 16th Asia-Pacific Software Engineering Conference (IEEE, 2009 December), pp. 482–488
3. N. Rahimi, F. Eassa, L. Elrefaei, An ensemble machine learning technique for functional requirement classification. Symmetry 12(10), 1601 (2020)
4. M. Binkhonain, L. Zhao, A review of machine learning algorithms for identification and classification of non-functional requirements. Expert Syst. Appl. X, 1, 100001 (2019)
5. M. Younas, D.N. Jawawi, I. Ghani, M.A. Shah, Extraction of non-functional requirement using semantic similarity distance. Neural Comput. Appl. 32(11), 7383–7397 (2020)
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