[hpc-announce] Call for Book Chapters - LLM-Based Software Systems: Principles and Paradigms

[Rajkumar Buyya]

LLM-Based Software Systems: Principles and Paradigms

Editor(s): Shreya Ghosh, Soumya Ghosh, Rajkumar Buyya
Publisher: Elsevier, USA
Submission Link: 
https://urldefense.us/v3/__https://easychair.org/conferences/?conf=llmbasedsoftwaresyst0__;!!G_uCfscf7eWS!cRtYlyPkGxJZdlBFCDmw6jXOxeZnt2hliuKPeLOzXj8GDXOc0u5Sf_FwLk9nvlWl5wU2aaYHirSVqeUA50vI4aAfHj0$ 

Call for Book Chapters	

The integration of Large Language Models (LLMs) into software systems 
represents a paradigm shift in both software engineering (SE) and 
intelligent application development. LLMs are not only revolutionizing 
natural language processing but are also increasingly embedded in 
production software as core components, powering everything from 
intelligent code assistants to autonomous decision agents. This book 
aims to provide a comprehensive and structured guide to the emerging 
field of LLM-based software systems. Unlike books that focus exclusively 
on the development or training of LLMs, this volume emphasizes the 
engineering, architectural, and practical aspects of building and 
maintaining software systems that rely on LLMs.
We bring together diverse perspectives from academic research to 
industry practices to explore how LLMs are reshaping the software 
lifecycle, transforming user interaction paradigms, and introducing new 
engineering challenges and opportunities.
Objectives:
·	To introduce and define the concept of LLM-based software systems.
·	To explore software engineering methodologies adapted for LLM 
integration, including prompt engineering, model evaluation, and 
lifecycle management.
·	To present a wide range of real-world applications and case studies.
·	To critically examine ethical, legal, and societal concerns tied to 
LLM deployment.
·	To provide future perspectives on how LLMs will reshape software 
development
While there are several books on generative AI and software engineering 
independently, this is the first consolidated volume that deeply 
integrates the two domains to present a coherent vision of how LLMs 
change the very fabric of software systems. This book will serve as a 
(a) practical guide for developers and system architects building 
applications with Large Language Models (LLMs), (b) a reference volume 
for academic researchers exploring the intersection of AI and software 
systems, and a (c) comprehensive teaching resource for courses on 
AI-enabled software engineering, intelligent systems design, and 
next-generation software architectures.
Potential list of topics (not limited to):
Ñ	LLM-based Software Engineering
·	Prompt Engineering as a Software Artifact
·	Software Testing and Evaluation in LLM-based Systems
·	DevOps and MLOps for LLM-Centric Development
·	Versioning and Lifecycle Management of Prompts and Models
·	Continuous Integration and Deployment for LLM Workflows
·	Human-in-the-Loop Development for LLM Systems
·	Quality Assurance and Benchmarking for LLM-Integrated Applications
·	Tools and Frameworks for LLM Software Engineering (e.g., LangChain, 
DSPy, Semantic Kernel)
·	Low-Code/No-Code (LCNC) Interfaces for LLM-Oriented Application 
Development
Ñ	System Development and Improvement Using LLMs
·	Architectural Patterns for LLM-Based Systems
·	Design Taxonomies for LLM-Integrated Systems
·	Runtime Behaviors and Uncertainty in LLM Systems
·	Caching, Token Optimization, and Inference Efficiency
·	Safety Guards and Moderation Layers in System Design
·	Privacy and Security in LLM-Powered Systems
·	Retrieval-Augmented Generation (RAG) and Knowledge Integration
·	LLM-based Management of Large Scale Computing Systems
·	Domain Adaptation and Customization of LLMs
Ñ	LLM-based Applications
·	LLM-Powered Code Assistants and Developer Tools
·	Conversational Agents and Virtual Assistants using LLMs
·	Educational and Tutoring Systems Enabled by LLMs
·	LLMs in Scientific Research and Technical Writing
·	Legal and Healthcare Applications of LLMs
·	LLM-based Planning
·	Business Process Automation with LLMs
·	Cross-Lingual and Multilingual Systems Powered by LLMs
·	LLMs for Decision Support and Knowledge Management
·	Creative and Media Applications using LLMs



Important Dates - Proposed

Chapter Proposal: You are invited to submit a 1-2 pages proposal to 
describing the topic of your chapter. The proposal should include the 
chapter organization, anticipated number of pages of the final
manuscript and brief biography of authors.  We plan to follow the 
timeline given below:

·         Proposal deadline: March 30, 2026 (Early expression of 
interest is highly encouraged)

·         Notification of proposal acceptance: April 15, 2026

·         Full draft chapter submission: July 15, 2026

·         Chapter review report to authors: August 30, 2026

·         Final version submission: October 30, 2026

Early submission is highly appreciated as the editors would like to have 
progressive dialogue and work with prospective authors to bring out a 
book of wide appeal. Please submit a chapter here: 
https://urldefense.us/v3/__https://easychair.org/conferences/?conf=llmbasedsoftwaresyst0__;!!G_uCfscf7eWS!cRtYlyPkGxJZdlBFCDmw6jXOxeZnt2hliuKPeLOzXj8GDXOc0u5Sf_FwLk9nvlWl5wU2aaYHirSVqeUA50vI4aAfHj0$ 

If we receive more than one proposal for a chapter on the same topic, 
the editors may request authors to collaborate to develop an integrated 
chapter. Each accepted chapter should have about 20-35 A4 pages. We 
expect to deliver CRC of the book to the publisher. A MS Word template 
will be provided later.

Editors:

Dr. Shreya Ghosh, Assistant Professor, IIT Bhubaneswar, Email: 
shreya at iitbbs.ac.in
Dr. Soumya K. Ghosh, Professor, IIT Kharagpur, Email: skg at cse.iitkgp.ac.in
Dr. Rajkumar Buyya, Professor, The University of Melbourne, Australia, 
Email: rbuyya at unimelb.edu.au