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Giray et al., 2023 - Google Patents

On the use of deep learning in software defect prediction

Giray et al., 2023

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Document ID
3623678554911338911
Author
Giray G
Bennin K
Köksal Ã
Babur Ã
Tekinerdogan B
Publication year
Publication venue
Journal of Systems and Software

External Links

Snippet

Context: Automated software defect prediction (SDP) methods are increasingly applied, often with the use of machine learning (ML) techniques. Yet, the existing ML-based approaches require manually extracted features, which are cumbersome, time consuming …
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Classifications

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    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computer systems utilising knowledge based models
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    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F11/36—Preventing errors by testing or debugging software
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    • G06—COMPUTING; CALCULATING; COUNTING
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