Comprehensive Bibliographic Survey and Forward-Looking Recommendations for Software Defect Prediction: Datasets, Validation Methodologies, Prediction Approaches, and Tools

Comprehensive Bibliographic Survey and Forward-Looking Recommendations for Software Defect Prediction: Datasets, Validation Methodologies, Prediction Approaches, and Tools

The development of reliable software depends heavily on the effective collaboration between teams responsible for development and testing. Despite ongoing efforts, many software programs still contain bugs that can lead to financial losses and business risks. Therefore, detecting and fixing software...

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Bibliographic Details
Main Authors: Mohd Mustaqeem, Mahfooz Alam, Suhel Mustajab, Faisal Alshanketi, Shadab Alam, Mohammed Shuaib
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Software defect prediction
classification
artificial intelligence
machine learning
statistical validation
bibliographic survey
Online Access:https://ieeexplore.ieee.org/document/10798423/
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