
Advancing Software Engineering Through AI, Federated Learning, and Large Language Models
IGI Global (Publisher)
Published on 2. May 2024
Book
Hardback
354 pages
979-8-3693-3502-4 (ISBN)
Description
The rapid evolution of software engineering demands innovative approaches to meet the growing complexity and scale of modern software systems. Traditional methods often need help to keep pace with the demands for efficiency, reliability, and scalability. Manual development, testing, and maintenance processes are time-consuming and error-prone, leading to delays and increased costs. Additionally, integrating new technologies, such as AI, ML, Federated Learning, and Large Language Models (LLM), presents unique challenges in terms of implementation and ethical considerations. Advancing Software Engineering Through AI, Federated Learning, and Large Language Models provides a compelling solution by comprehensively exploring how AI, ML, Federated Learning, and LLM intersect with software engineering. By presenting real-world case studies, practical examples, and implementation guidelines, the book ensures that readers can readily apply these concepts in their software engineering projects. Researchers, academicians, practitioners, industrialists, and students will benefit from the interdisciplinary insights provided by experts in AI, ML, software engineering, and ethics.
More details
Language
English
Place of publication
Hershey
United States
Target group
Professional and scholarly
Dimensions
Height: 286 mm
Width: 221 mm
Thickness: 25 mm
Weight
1224 gr
ISBN-13
979-8-3693-3502-4 (9798369335024)
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Schweitzer Classification
Other editions
Additional editions

Avinash Kumar Sharma | Nitin Chanderwal | Amarjeet Prajapati
Advancing Software Engineering Through AI, Federated Learning, and Large Language Models
Book
05/2024
Engineering Science Reference
€355.60
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