Hybrid Deep Learning Approach for Nonfunctional Software Requirements Classifications-Reference-Cited by-同舟云学术

Hybrid Deep Learning Approach for Nonfunctional Software Requirements Classifications

Published:2023-05-17 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Communication, Computing and Digital Systems (C-CODE)
language:
Short-container-title:

Author:

Rahman Kiramat¹,Ghani Anwar²,Ahmad Rashid³,Sajjad Syed Haseeb²

Affiliation:

1. International Islamic University,Dept. of Software Engineering,Islamabad,Pakistan

2. Big Data Research Center Jeju National University,Jeju,South Korea

3. Inernational Islamic University,Dept. of Computer Science,Islamabad,Pakistan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10139854/10139858/10139907.pdf?arnumber=10139907

Reference21 articles.

1. Classifying non-functional requirements using RNN variants for quality software development

2. RE Data Challenge: Requirements Identification with Word2Vec and TensorFlow

3. The Effect of Data Pre-processing on Optimized Training of Artificial Neural Networks

4. Using Recurrent Neural Networks for Classification of Natural Language-based Non-functional Requirements;gnanasekaran;In Proceedings of the Workshops of the 27th International Conference on Requirements Engineering,2021

5. Linguistic regularities in continuous space word representations;mikolov;In Proceedings of the 2013 conference of the North American chapter of the Association for Computational Linguistics Human Language Technologies,2013

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A deep learning framework for non-functional requirement classification;Scientific Reports;2024-02-08

2. Hybrid SVM-Bidirectional Long Short-Term Memory Model for Fine-Grained Software Requirement Classification;Journal of Advances in Information Technology;2024