JOURNAL ARTICLE

A novel software defect prediction based on atomic class-association rule mining

Yuanxun ShaoBin LiuShihai WangGuoqi Li

Year: 2018 Journal:   Expert Systems with Applications Vol: 114 Pages: 237-254   Publisher: Elsevier BV
Keywords:
Association rule learning Computer science Data mining Machine learning Artificial intelligence Decision tree Software Naive Bayes classifier Class (philosophy) Benchmark (surveying) Software bug Feature (linguistics) Apriori algorithm Association (psychology) Support vector machine

Metrics

58
Cited By
11.16
FWCI (Field Weighted Citation Impact)
104
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Software Engineering Research
Physical Sciences →  Computer Science →  Information Systems
Software Reliability and Analysis Research
Physical Sciences →  Computer Science →  Software
Imbalanced Data Classification Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence

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