Software Defect Prediction Using Deep Semantic Feature Learning-Reference-Cited by-同舟云学术

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Software Defect Prediction Using Deep Semantic Feature Learning

Published:2023-10-20 Issue: Volume: Page:1-7
ISSN:
Container-title:2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT)
language:
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Author:

Dwarakanath B.¹,Renuka S.²,Brindha T. V.³,Ebinezer M. J. D.⁴

Affiliation:

1. SRM Institute of Science and Technology Ramapuram,Information Technology College of Engineering and Technology,Chennai,India

2. Vasavi College of Engineering,Information and Technology,Hyderabad,India

3. Sri Venkateshwara College of Engineering and Technology,Computer Science and Engineering,Tiruvallur,India

4. Koneru Lakshmaiah Education Foundation,Computer Science and Engineering,Andhra Pradesh,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391855/10391862/10393261.pdf?arnumber=10393261

Reference22 articles.

1. Progress on approaches to software defect prediction

2. Robust Statistical Methods for Empirical Software Engineering

3. Cross-Project and Within-Project Semisupervised Software Defect Prediction: A Unified Approach

4. How Far We Have Progressed in the Journey? An Examination of Cross-Project Defect Prediction

5. Combining Data Preprocessing Methods With Imputation Techniques for Software Defect Prediction

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1. Developing Smarter Software Engineering Tools by Utilizing AI Assistance;2024 47th MIPRO ICT and Electronics Convention (MIPRO);2024-05-20

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