Enhancing Software Defect Prediction Through Root Cause Analysis: A Hybrid Approach Integrating Permutation Importance with XGBoost (PERMBoost)-Reference-Cited by-同舟云学术

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Enhancing Software Defect Prediction Through Root Cause Analysis: A Hybrid Approach Integrating Permutation Importance with XGBoost (PERMBoost)

Published:2024-05-09 Issue: Volume:1 Page:61-67
ISSN:
Container-title:2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE)
language:
Short-container-title:

Author:

Mustaqeem Mohd¹,Mustajab Suhel¹,Alam Mahfooz¹

Affiliation:

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

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10592860/10592845/10593406.pdf?arnumber=10593406

Reference25 articles.

1. Application of Artificial Intelligence in Software Development Life Cycle: A Systematic Mapping Study

2. Software Fault-Proneness Analysis based on Composite Developer-Module Networks

3. A systematic literature review of software defect prediction;Wahono;Journal of Software Engineering,2015

4. Ensemble Methods

5. XGBoost

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