Software Defect Prediction Using Supervised Machine Learning Techniques: A Systematic Literature Review-Reference-Cited by-同舟云学术

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Software Defect Prediction Using Supervised Machine Learning Techniques: A Systematic Literature Review

Published:2021 Issue:2 Volume:29 Page:403-421
ISSN:1079-8587
Container-title:Intelligent Automation & Soft Computing
language:en
Short-container-title:

Author:

Matloob Faseeha,Aftab Shabib,Ahmad Munir,Adnan Khan Muhammad,Fatima Areej,Iqbal Muhammad,Mohsen Alruwaili Wesam,Sabri Elmitwally Nouh

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cost-sensitive Approach for improving AUC-ROC Curve of Software Defect Prediction;2024 International Seminar on Intelligent Technology and Its Applications (ISITIA);2024-07-10

2. Cyber resilience and cyber security issues of intelligent cloud computing systems;Results in Control and Optimization;2023-09

3. A Systematic Approach for Enhancing Software Defect Prediction Using Machine Learning;2023 International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM);2023-06-16

4. A research landscape on software defect prediction;Journal of Software: Evolution and Process;2023-03-16

5. Machine Learning for Software Engineering: A Tertiary Study;ACM Computing Surveys;2023-03-02

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