Software Susceptibility Detection Using Deep Learning Techniques-Reference-Cited by-同舟云学术

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Software Susceptibility Detection Using Deep Learning Techniques

Published:2023-12-01 Issue: Volume:26 Page:681-685
ISSN:
Container-title:2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)
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Author:

Kumar K. Sudheer¹,Sahu Dillip Narayan²,Takore Tamirat Tagesse³,Singh Navdeep⁴,Durga CSL Vijaya⁵,Kapila Dhiraj⁶

Affiliation:

1. School of CS & AI, SR University,Warangal,Telangana,India

2. Gangadhar Meher University,Department of MCA,Odisha,India

3. Wachemo University,Department of Electrical and Computer Engineering,Ethiopia

4. Lovely Professional University,Phagwara

5. Institute of Aeronautical Engineering,Hyderabad

6. Lovely Professional University,Department of Computer Science & Engineering,Phagwara,Punjab,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10433942/10434287/10434605.pdf?arnumber=10434605

Reference16 articles.

1. Empirical standards for software engineering research;Ralph,2021

2. Software Vulnerability Analysis and Discovery Using Machine-Learning and Data-Mining Techniques

3. Software Vulnerability Discovery Techniques: A Survey

4. A systematic review of machine learning techniques for software fault prediction

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