Cloud-Native Architecture (Cna) and Artificial Intelligence (Ai) for the Future of Software Engineering: The Principles, Patterns, Platforms and Pract
暫譯: 雲原生架構 (CNA) 與人工智慧 (AI) 在未來軟體工程中的應用:原則、模式、平台與實踐

Agerstam, Mats, Dutta, Pushan Kumar, Sundaravadivazhagan, Balasubramanian

  • 出版商: Academic Press
  • 出版日期: 2026-02-19
  • 售價: $6,230
  • 貴賓價: 9.5$5,918
  • 語言: 英文
  • 頁數: 522
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 0443224013
  • ISBN-13: 9780443224010
  • 相關分類: AI CodingDesign Pattern
  • 海外代購書籍(需單獨結帳)

商品描述

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.

商品描述(中文翻譯)

《雲原生架構 (Cloud-native Architecture, CNA) 與人工智慧 (Artificial Intelligence, AI) 在未來軟體工程中的應用:原則、模式、平台與實踐,第141卷》是《計算機進展 (Advances in Computers)》系列中的新書,探討了人工智慧、機器學習與現代軟體工程實踐的融合。本書的章節包括:揭開雲原生人工智慧 (Cloud-native Artificial Intelligence, CNAI) 範式的神秘面紗、為下一代軟體開發闡明機器與深度學習模型、界定人工智慧 (AI) 及其在自動化軟體工程中的潛力、利用機器與深度學習 (Machine and Deep Learning, ML/DL) 演算法來構建自動化軟體開發的 AI 模型等。

其他部分涵蓋了加速軟體開發的人工智慧 (AI) 技術與工具、揭開加速軟體工程的代理 AI 範式的神秘面紗、詳細介紹加速與自動化軟體工程的 AI 技術與工具、用於加速軟體工程的生成式 AI 工具、透過可解釋的 AI 來賦能軟體工程自動化等內容。