Enhancing Secure Development in Globally Distributed Software Product Lines: A Machine Learning-Powe...
Enhancing Secure Development in Globally Distributed Software Product Lines: A Machine Learning-Powered Framework for Cyber-Resilient Ecosystems
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Publisher
Henderson: Tech Science Press
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Language
English
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Publisher
Henderson: Tech Science Press
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Scope and Contents
Contents
Embracing software product lines (SPLs) is pivotal in the dynamic landscape of contemporary software development. However, the flexibility and global distribution inherent in modern systems pose significant challenges to managing SPL variability, underscoring the critical importance of robust cybersecurity measures. This paper advocates for leverag...
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Full title
Enhancing Secure Development in Globally Distributed Software Product Lines: A Machine Learning-Powered Framework for Cyber-Resilient Ecosystems
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Record Identifier
TN_cdi_proquest_journals_3199834062
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3199834062
Other Identifiers
ISSN
1546-2226,1546-2218
E-ISSN
1546-2226
DOI
10.32604/cmc.2024.051371
