Enhancing Software Defect Prediction Through Advanced Machine Learning: Investigating Solutions to Key Limitations of Traditional Techniques-Reference-Cited by-同舟云学术

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Enhancing Software Defect Prediction Through Advanced Machine Learning: Investigating Solutions to Key Limitations of Traditional Techniques

Published:2024-05-03 Issue: Volume:12799 Page:1-6
ISSN:
Container-title:2024 International Conference on Intelligent Systems for Cybersecurity (ISCS)
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Author:

Mustaqeem Mohd¹,Mustajab Suhel¹,Shahid Mohammad¹,Ahmad Faisal²,Alam Mahfooz³

Affiliation:

1. Aligarh Muslim University,Department of Computer Science,Aligarh,India

2. Workday Inc., Pleasanton,CA,USA

3. Department of Commerce Aligarh Muslim University,Aligarh,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10579950/10580998/10581071.pdf?arnumber=10581071

Reference32 articles.

1. Heterogeneous cross-company defect prediction by unified metric representation and CCA-based transfer learning

2. Integrated Approach to Software Defect Prediction

3. Progress on approaches to software defect prediction

4. Developing the software defect prediction models using regression analysis based on normalizing transformations;Prykhodko,2016

5. Software Defect Prediction Using Regression via Classification

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