Call for Chapters: Artificial Intelligence for Cloud-Native Software Engineering

Editors

Pethuru Raj Chelliah, Reliance Jio Platforms Ltd., India
RAMAMURTHY VENKATESH, NETS International, United Arab Emirates
Natraj N A, Symbiosis International (Deemed University), India
Rathinaraja Jeyaraj, University of Houston-Victoria,, United States

Call for Chapters

Proposals Submission Deadline: September 27, 2024
Full Chapters Due: November 29, 2024
Submission Date: November 29, 2024

Introduction

The artificial intelligence (AI) paradigm is unquestionably rapidly expanding to become a leading digital technology capable of creatively addressing a wide range of present and future business issues. There is a wide range of AI tools available, including advanced algorithms, versatile frameworks, reusable libraries, integrated platforms, specialized processors, automated toolkits, and optimization methods. AI model engineering, evaluation, optimization, deployment, observability, and improvement techniques are made more accessible through a range of helpful tools and methods. AI is having a significant impact on various business domains. Many industry verticals are carefully exploring and experimenting with AI to grasp its strategic potential. In recent years, AI has been a source of inspiration for the field of software engineering. Indeed, AI is streamlining various aspects of the software engineering lifecycle. AI supports software architects and engineers in developing high-quality and eco-friendly software applications. In addition to LLM-powered code creation, AI has become an increasingly vital tool in automated software testing. Just imagine the power of AIOps platforms and toolkits in gathering and analyzing operational data from various ICT systems and business workloads. They provide invaluable insights exactly when you need them. In addition, software security is guaranteed with the help of real-time and AI-powered security data analytics. Just like a skilled network architect, competent AI models elegantly fulfill the non-functional requirements/quality attributes of software systems, such as scalability, reliability, and availability. Thus, the complex software engineering is being enhanced, sped up, and automated through innovative advancements discovered and implemented in the AI field. Within this book, we aim to showcase the profound impact of AI on all aspects of software engineering. It revolutionizes the development, testing, debugging, delivery, deployment, execution, monitoring, management, and enhancement of software. As cloud-native principles continue to gain popularity, the landscape of software construction is poised for significant transformation. Software products, solutions, and services should be composed of purpose-specific and agnostic microservices. With the rapid maturation and stabilization of cloud-native architecture patterns, the software industry is eagerly embracing the cloud-native software engineering paradigm.

Objective

The book "Artificial Intelligence (AI) for Cloud-native Software Engineering" aims to explore the transformative impact of AI on the software engineering lifecycle, highlighting its role in automating and enhancing various stages of software development. It intends to provide a comprehensive overview of how AI technologies can assist software architects and engineers in creating high-quality, enterprise-grade software efficiently. The book will cover AI applications in requirements elicitation, code generation, testing, and deployment, demonstrating how AI tools can streamline processes and reduce cognitive overload for developers. Additionally, it will delve into the integration of AI within agile methodologies and cloud-native architectures, emphasizing the shift towards microservices and automated testing frameworks. By addressing both the benefits and challenges of AI implementation, this book seeks to contribute to current research by offering insights into best practices, emerging tools, and methodologies that leverage AI to improve software quality and delivery speed. Ultimately, it aims to serve as a valuable resource for software professionals looking to navigate the evolving landscape of AI-augmented software engineering, fostering innovation and efficiency in the field.

Target Audience

The book "Artificial Intelligence (AI) for Cloud-native Software Engineering" is primarily geared towards software engineers, architects, and developers who are involved in the software development lifecycle. It aims to benefit professionals seeking to understand how AI can enhance their work processes, improve software quality, and accelerate delivery times. Additionally, the audience includes project managers and business analysts looking to leverage AI for requirements management and project planning. Academic researchers and students in computer science and software engineering will also find value in the book, as it addresses cutting-edge AI applications and tools relevant to modern software practices. Moreover, IT professionals focused on cloud-native architectures, DevOps, and software testing will gain insights into how AI can optimize these areas. By presenting practical applications, challenges, and best practices, the book serves as a comprehensive resource for anyone interested in integrating AI into their software engineering practices, ultimately fostering innovation and efficiency across the industry.

Submission Procedure

Researchers and practitioners are invited to submit on or before September 27, 2024, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by October 11, 2024 about the status of their proposals and sent chapter guidelines.Full chapters of a minimum of 10,000 words (word count includes references and related readings) are expected to be submitted by November 29, 2024, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-anonymized review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Artificial Intelligence for Cloud-Native Software Engineering. All manuscripts are accepted based on a double-anonymized peer review editorial process.

All proposals should be submitted through the eEditorial Discovery^® online submission manager.

Publisher

This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), an international academic publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. IGI Global specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2025.

Important Dates

September 27, 2024: Proposal Submission Deadline
October 11, 2024: Notification of Acceptance
November 29, 2024: Full Chapter Submission
January 3, 2025: Review Results Returned
January 31, 2025: Final Acceptance Notification
February 7, 2025: Final Chapter Submission

Inquiries

Pethuru Raj Chelliah
Reliance Jio Platforms Ltd.
peterindia@gmail.com

Natraj N A
Symbiosis International (Deemed University)
natraj@sidtm.edu.in

Classifications

Computer Science and Information Technology; Physical Sciences and Engineering

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