Generative Analysis: The Power of Generative AI for Object-Oriented Software Engineering with UML
Arlow, Jim, Neustadt, Ila
- 出版商: Addison Wesley
- 出版日期: 2024-10-11
- 售價: $2,460
- 貴賓價: 9.5 折 $2,337
- 語言: 英文
- 頁數: 688
- 裝訂: Quality Paper - also called trade paper
- ISBN: 013829142X
- ISBN-13: 9780138291426
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相關分類:
UML、人工智慧、Object-oriented、軟體工程
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相關主題
商品描述
Learn Generative Analysis--a New Method of Object-Oriented Analysis--to Keep Pace with How Generative AI Is Transforming the Face of Software Engineering
Generative AI is revolutionizing software engineering--many aspects of manual coding are becoming automated, and the skills needed by software engineers, developers, and analysts are evolving. Anyone who writes or works with code will need to produce precise analysis artifacts to feed the AI code-generation process. Enter generative analysis: a precise, structured way for software engineers, programmers, and analysts to transition to this new, AI-enhanced software engineering world.
In Generative Analysis, experts Jim Arlow and Ila Neustadt leverage Literate Modeling, M++, and multivalent logic to lay out a step-by-step approach to object-oriented analysis that produces clear and unambiguous results suitable for further processing into code by generative AI systems such as Copilot, ChatGPT, and Gemini. Prepare for the challenge of the future by understanding the flexibility you already have at hand using generative analysis.
- Gain a new perspective on the shift to generative AI-based programming models
- Understand how generative analysis artifacts feed generative AIs to generate code and UML models
- Explore techniques that feed into and refine each other until a precise analysis definition of a software system is achieved
- Recognize milestones and end points to eliminate "analysis paralysis"
- Learn to work at the right level of abstraction to leverage the most power from generative AI
- Gain understanding from real-world, detailed examples of prompts and AI responses
This guide teaches advanced, precise, and sophisticated analysis techniques that will allow you to thrive in the new world of software engineering with generative AI.
Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
商品描述(中文翻譯)
學習《生成分析》——一種新的物件導向分析方法——以跟上生成式 AI 如何改變軟體工程的面貌
生成式 AI 正在徹底改變軟體工程——許多手動編碼的方面正在自動化,軟體工程師、開發人員和分析師所需的技能也在不斷演變。任何撰寫或處理程式碼的人都需要產出精確的分析文檔,以供 AI 代碼生成過程使用。這就是生成分析的出現:一種精確、結構化的方法,幫助軟體工程師、程式設計師和分析師過渡到這個新的、增強 AI 的軟體工程世界。
在《生成分析》中,專家 Jim Arlow 和 Ila Neustadt 利用文學建模、M++ 和多元邏輯,提出了一種逐步的方法來進行物件導向分析,產出清晰且不含歧義的結果,適合進一步由生成式 AI 系統(如 Copilot、ChatGPT 和 Gemini)處理成代碼。通過理解您已經掌握的靈活性,為未來的挑戰做好準備,使用生成分析。
- 獲得對生成式 AI 基礎編程模型轉變的新視角
- 理解生成分析文檔如何為生成式 AI 提供資料以生成代碼和 UML 模型
- 探索相互促進和精煉的技術,直到達成軟體系統的精確分析定義
- 辨識里程碑和終點,以消除「分析癱瘓」
- 學會在適當的抽象層次上工作,以充分利用生成式 AI 的力量
- 從現實世界的詳細範例中獲得理解,包括提示和 AI 回應
本指南教授先進、精確且複雜的分析技術,將使您在生成式 AI 的新軟體工程世界中蓬勃發展。
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