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Home > Computing and Information Technology > Computer programming / software engineering > Cloud-native Architecture (CNA) and Artificial Intelligence (AI) for the Future of Software Engineering: The Principles, Patterns, Platforms and Practices: Volume 141(Volume 141 Advances in Computers)
Cloud-native Architecture (CNA) and Artificial Intelligence (AI) for the Future of Software Engineering: The Principles, Patterns, Platforms and Practices: Volume 141(Volume 141 Advances in Computers)

Cloud-native Architecture (CNA) and Artificial Intelligence (AI) for the Future of Software Engineering: The Principles, Patterns, Platforms and Practices: Volume 141(Volume 141 Advances in Computers)

          
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About the Book

Cloud-native Architecture (CNA) and Artificial Intelligence (AI) for the Future of Software Engineering: The Principles, Patterns, Platforms and Practices, Volume 141 in the Advances in Computers series, explores the convergence of artificial intelligence, machine learning, and modern software engineering practices. Chapters in this new release include Demystifying the Cloud-native Artificial Intelligence (CNAI) Paradigm, Articulating Machine and Deep Learning Models for Next-Generation Software Development, Delineating Artificial Intelligence (AI) and Its Potentials for Automated Software Engineering, Leveraging Machine and Deep Learning (ML/DL) Algorithms towards AI Models for Automating Software Development, and more. Other sections cover Artificial Intelligence (AI) Technologies and Tools for Accelerated Software Development, Demystifying the Agentic AI Paradigm for Accelerated Software Engineering, Detailing AI Techniques and Tools for Software Engineering Acceleration and Automation, Generative AI Tools for Accelerated Software Engineering, Empowering Software Engineering Automation through Explainable AI, and much more.

Table of Contents:
1. Demystifying the Cloud-native Artificial Intelligence (CNAI) Paradigm 2. Articulating Machine and Deep Learning Models for Next-Generation Software Development 3. Delineating Artificial Intelligence (AI) and Its Potentials for Automated Software Engineering 4. Leveraging Machine and Deep Learning (ML/DL) Algorithms towards AI Models for Automating Software Development 5. Artificial Intelligence (AI) Technologies and Tools for Accelerated Software Development 6. Demystifying the Agentic AI Paradigm for Accelerated Software Engineering 7. Detailing AI Techniques and Tools for Software Engineering Acceleration and Automation 8. Generative AI Tools for Accelerated Software Engineering 9. Empowering Software Engineering Automation through Explainable AI 10. Deepseek and ChatGPT for Software Engineering: An Analysis and Insight 11. Agile Software Development through DevSecOps, Site Reliability Engineering, and Value Stream Management (VSM) Products and Practices 12. Evolution of Software Engineering: From Traditional to Modern Approaches 13. Cloud Native Engineering: A Comprehensive Review of Principles, Practices, and Challenges 14. AI-Driven Testing Practices for Cloud-Native Systems 15. Kubernetes for Highly Scalable and Self-Healing Software Systems 16. Pioneering Agile Innovation: A Cloud-Native MLOps Odyssey for Data-Driven Applications 17. Cloud Native Engineering for AI-Driven ERP Systems: Enhancing Security, Compliance, and Data Privacy 18. Cloud-Native Secrets Management: Eliminating Hardcoded Secrets in CI/CD and Cloud Workloads with HashiCorp Vault 19. Ethical AI and Responsible Automation in Software Engineering


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Product Details
  • ISBN-13: 9780443224010
  • Publisher: Elsevier Science Publishing Co Inc
  • Publisher Imprint: Academic Press Inc
  • Height: 229 mm
  • No of Pages: 310
  • Sub Title: Volume 141
  • ISBN-10: 0443224013
  • Publisher Date: 01 Mar 2026
  • Binding: Hardback
  • Language: English
  • Series Title: Volume 141 Advances in Computers
  • Width: 152 mm


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Cloud-native Architecture (CNA) and Artificial Intelligence (AI) for the Future of Software Engineering: The Principles, Patterns, Platforms and Practices: Volume 141(Volume 141 Advances in Computers)
Elsevier Science Publishing Co Inc -
Cloud-native Architecture (CNA) and Artificial Intelligence (AI) for the Future of Software Engineering: The Principles, Patterns, Platforms and Practices: Volume 141(Volume 141 Advances in Computers)
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