Software defect prediction based on multi-filter wrapper feature selection and deep neural network with attention mechanism

Ruchika Malhotra; Sonali Chawla; Anjali Sharma

doi:10.1007/s00521-024-10902-y

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Software defect prediction based on multi-filter wrapper feature selection and deep neural network with attention mechanism

Ruchika Malhotra Sonali Chawla Anjali Sharma

Year: 2025 Journal: Neural Computing and Applications Vol: 37 (27)Pages: 22621-22648 Publisher: Springer Science+Business Media

DOI: 10.1007/s00521-024-10902-y

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Keywords:

Computational Science and Engineering Computer science Mechanism (biology) Feature selection Artificial neural network Artificial intelligence Selection (genetic algorithm) Software Feature (linguistics) Filter (signal processing) Machine learning Pattern recognition (psychology)

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Software Engineering Research

Physical Sciences → Computer Science → Information Systems

Software Reliability and Analysis Research

Physical Sciences → Computer Science → Software

Software Testing and Debugging Techniques

Physical Sciences → Computer Science → Software

Software defect prediction based on multi-filter wrapper feature selection and deep neural network with attention mechanism

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