使作呕
发表于 2025-3-21 18:06:29
书目名称Intelligent Software Defect Prediction影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0469961<br><br> <br><br>书目名称Intelligent Software Defect Prediction影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0469961<br><br> <br><br>书目名称Intelligent Software Defect Prediction网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0469961<br><br> <br><br>书目名称Intelligent Software Defect Prediction网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0469961<br><br> <br><br>书目名称Intelligent Software Defect Prediction被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0469961<br><br> <br><br>书目名称Intelligent Software Defect Prediction被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0469961<br><br> <br><br>书目名称Intelligent Software Defect Prediction年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0469961<br><br> <br><br>书目名称Intelligent Software Defect Prediction年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0469961<br><br> <br><br>书目名称Intelligent Software Defect Prediction读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0469961<br><br> <br><br>书目名称Intelligent Software Defect Prediction读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0469961<br><br> <br><br>
DEBT
发表于 2025-3-21 22:42:12
Xiao-Yuan Jing,Haowen Chen,Baowen XuProvides a comprehensive introduction to the current state of SDP research.Introduces a range of machine-learning-based SDP approaches proposed for different scenarios.Provides valuable insights and l
ATP861
发表于 2025-3-22 02:11:44
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软膏
发表于 2025-3-22 05:57:01
978-981-99-2844-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
Immunization
发表于 2025-3-22 10:09:16
Machine Learning Techniques for Intelligent SDP,In this chapter, several common learning algorithms and their applications in software defect prediction are briefly introduced, including deep learning, transfer learning, dictionary learning, semi-supervised learning, and multi-view learning.
自负的人
发表于 2025-3-22 14:56:06
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杀虫剂
发表于 2025-3-22 17:18:35
Book 2023oftware defects usually produce incorrect or unexpected results and behaviors. Accordingly, software defect prediction (SDP) is one of the most active research fields in software engineering and plays an important role in software quality assurance. Based on the results of SDP analyses, developers c
Mettle
发表于 2025-3-22 23:07:08
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defenses
发表于 2025-3-23 02:36:39
Introduction,he effective allocation or prioritization of quality assurance effort (test effort and code inspection effort). Construction of these prediction models are mostly dependent on historical or previous software project data referred to as a dataset.
SYN
发表于 2025-3-23 06:14:01
Within-Project Defect Prediction,y learning (CDDL) approach for software defect classification and prediction. The widely used datasets from NASA projects are employed as test data to evaluate the performance of all compared methods. Experimental results show that CDDL outperforms several representative state-of-the-art defect prediction methods.