Feasibility Study of Machine Learning & AI Algorithms for Classifying Software Requirements-Reference-Cited by-同舟云学术

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Feasibility Study of Machine Learning & AI Algorithms for Classifying Software Requirements

Published:2022-10-16 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon)
language:
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Author:

Akshatha Nayak Ullal¹,Swarnalatha K S¹,Balachandra A¹

Affiliation:

1. Nitte Mennakshi Institute of Technology,Department of ISE,Bangalore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9972337/9971799/09972410.pdf?arnumber=9972410

Reference17 articles.

1. From Frequency to Meaning: Vector Space Models of Semantics;Journal of Artificial Intelligence Research,2010

2. Ann Copestake;formalzation of semantic competence,2021

3. The Role of Syntax in Vector Space Models of Compositional Semantics;hermann,0

4. Sentence Vector Model Based on Implict Work Vector Expression, Special section on sequential Data Modeling and its Emerging Applications;wang,2018

5. Requirements Classification with Interpretable Machine Learning and Dependency Parsing,2019

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