Investigating Tree Family Machine Learning Techniques for a Predictive System to Unveil Software Def...
Investigating Tree Family Machine Learning Techniques for a Predictive System to Unveil Software Defects
About this item
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Author / Creator
Publisher
Cairo, Egypt: Hindawi Publishing Corporation
Journal title
Language
English
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Publication information
Publisher
Cairo, Egypt: Hindawi Publishing Corporation
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Scope and Contents
Contents
Software defects prediction at the initial period of the software development life cycle remains a critical and important assignment. Defect prediction and correctness leads to the assurance of the quality of software systems and has remained integral to study in the previous years. The quick forecast of imperfect or defective modules in software d...
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Full title
Investigating Tree Family Machine Learning Techniques for a Predictive System to Unveil Software Defects
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TN_cdi_doaj_primary_oai_doaj_org_article_f834c8b8aec34b259f6d0ddeeb04ac9a
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f834c8b8aec34b259f6d0ddeeb04ac9a
Other Identifiers
ISSN
1076-2787
E-ISSN
1099-0526
DOI
10.1155/2020/6688075
