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Herausgeber: 
  • Avinash Kumar Sharma
  • Nitin Chanderwal
  • Amarjeet Prajapati
  • Advancing Software Engineering Through AI, Federated Learning, and Large Language Models 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  Mai 2024  
    Genre:  EDV / Informatik 
     
    AI for Bug Detection and Resolution in Software Engineering / AI-Enhanced Software Development / Application of Machine Learning for Software Engineers / Emerging Trends in AI, ML, Federated Learning, and L
    ISBN:  9798369335024 
    EAN-Code: 
    9798369335024 
    Verlag:  IGI Global 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 286 mm / B 221 mm / D 25 mm 
    Gewicht:  1224 gr 
    Seiten:  384 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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.

      



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