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

Erscheinungsjahr 2026
ISBN: 978-0-443-22401-0
Verlag: Elsevier Science & Technology

Buch, Englisch, Format (B × H): 152 mm x 229 mm

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.

Autoren/Hrsg.

Weitere Mitwirkende

Agerstam, Mats

Dutta, Pushan Kumar

Sundaravadivazhagan, Balasubramanian

Nagasubramanian, Gayathri

Raj, Pethuru

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
• Mathematik | Informatik Mathematik Mathematik Allgemein

Inhaltsverzeichnis

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

Über Autor(innen)

Raj, Pethuru
Pethuru Raj PhD works as chief architect and vice president of site reliability engineering (SRE) division of Reliance Jio Infocomm. Ltd. Bangalore. Previously he worked as a cloud infrastructure architect in the IBM Global Cloud Center of Excellence (CoE), Bangalore. He worked as a TOGAF-certified enterprise architecture (EA) consultant in Wipro Consulting Services (WCS) Division and as a lead architect in the corporate research (CR) division of Robert Bosch, India. He has gained more than 18 years of IT industry experience.
He finished the CSIR-sponsored PhD degree in Anna University, Chennai and continued the UGC-sponsored postdoctoral research in the department of Computer Science and Automation, Indian Institute of Science, Bangalore. Thereafter, he was granted a couple of international research fellowships (JSPS and JST) to work as a research scientist for 3.5 years in two leading Japanese universities. He has authored and edited 18 books thus far and he focuses on some of the emerging technologies such as Containerized Clouds; Big, Fast, and Streaming Data Analytics; Microservices architecture (MSA); Machine and Deep Learning Algorithms; Blockchain Technology; The Internet of Things; and Edge Computing. He has published more than 30 research papers in peer-reviewed journals such as IEEE, ACM, Springer-Verlag, Inderscience, etc.

Sundaravadivazhagan, Balasubramanian
Dr. B. Sundaravadivazhagan is a Professor in the Department of Information Technology at the University of Technology and Applied Sciences, Al-Musanna, Sultanate of Oman. He earned his M.E. and Ph.D., specializing in wireless networks, MANET, IoT, cryptography, network security, cloud computing, and blockchain technologies.

With over 19 years of teaching experience, Dr. Sundaravadivazhagan has held leadership roles including Head of Department at institutions in both India and Oman, and currently serves as an Emeritus Professor at KPR Institute of Engineering and Technology in Coimbatore, India. He is an active member of ISTE and CSI, has contributed to editorial boards, peer-reviewed numerous international journals, and chaired advisory committees for several global conferences. He also evaluates Ph.D. theses at prominent universities in India.

His scholarly output includes 22 publications and a book titled Performance Analysis of Broadcast Schemes in MANET, published by Lambert Academic Publishing (Germany). His recent research articles cover topics like IoT in healthcare, leader election in MANET, sentiment analysis using Naïve Bayes, and biometric-based cryptosystems.

Dr. Sundaravadivazhagan is also a sought-after resource person, having delivered keynote lectures and webinars on IoT trends and security across various international platforms.

Dutta, Pushan Kumar
Dr. Pushan Kumar Dutta is an Assistant Professor Grade III at Amity University Kolkata, specializing in Electronics and Communication Engineering. He holds a Ph.D. in Electronics and Telecommunication Engineering from Jadavpur University and completed a Postdoctoral fellowship as an Erasmus Mundus Scholar at the University of Oradea. His research interests include data mining, AI, edge computing, and predictive analytics, focusing on applications in smart cities, healthcare, and sustainable development. Dr. Dutta has published over 114 articles in Scopus-indexed journals and has edited more than 30 books for prestigious publishers in 2023-2024. He is recognized as a reviewer for leading academic publishers and has received accolades such as the 'Mentor of Change' from NITI Aayog. Committed to innovative teaching, he authored "Innovative Digital Teaching and Learning for Professional Readiness" and holds two Indian patents. Dr. Dutta is a Threws Fellow member and a senior member of the Indian Institute of Engineering.

Nagasubramanian, Gayathri
N. Gayathri, PhD is an Assistant Professor in the Department of Computer Science and Engineering, GITAM University, Bengaluru. She has published 45+ published journal articles (SCI journals& Scopus indexed), presented papers in national/ international conferences, published book chapters, and edited books published with Wiley and CRC Press. Dr. Gayathri has 7 Indian patents, 1 Australian Patent, and she is a guest editor for Recent Patents on Computer Science. Her research interests include Big data Analytics, IoT and networks. She is an active reviewer for Bentham Science Journal, Mobile Networks and Applications, Expert Systems with Applications, Sustainable Computing: Informatics and Systems, IEEE Internet of Things, Expert Systems.