Generative Analysis : The Power of Generative AI for Object-Oriented Software Engineering with UML
Language: English
Published by Pearson Education Nov 2024, 2024
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
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US$ 80.14
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Add to basketItem description from seller
Neuware - 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. Note from the Publisher: We have identified an issue in the reflowable ePub where code inside tables may be truncated when viewed in single-page mode on Apple Books for Mac. To ensure optimal viewing, we recommend using double-page view for a complete display of the content. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.…
Seller Inventory # 9780138291426
- Title
- Generative Analysis : The Power of Generative AI for Object-Oriented Software Engineering with UML
- Author
- Jim Arlow
- Publisher
- Pearson Education Nov 2024
- Publication year
- 2024
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 013829142X
- ISBN 13
- 9780138291426
- Item weight
- 1,116 grams
- Dimensions
- 231x186x36 mm
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.
Note from the Publisher: We have identified an issue in the reflowable ePub where code inside tables may be truncated when viewed in single-page mode on Apple Books for Mac. To ensure optimal viewing, we recommend using double-page view for a complete display of the content.
Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
"Synopsis" may belong to another edition of this title.
About the Author
Jim Arlow has been programming and designing object-oriented software systems since 1990. He has created object models for blue chip companies such as British Airways and M&G. He is a respected OO consultant in Europe and has written and delivered many training courses on object technology and Java. Jim is a regular speaker at conferences such as Object World, and has been an invited speaker at University College London, City University, and the British Computer Society.
Ila Neustadt has worked in IT for British Airways (BA) for more than twenty years and has experience with all parts of the IT development life cycle. She worked in the strategy department modeling the architecture process and developing architecture training, and acted as program head for the graduate business analyst program. Ila now coordinates skills development for BA's IT staff.
"About the title" may belong to another edition of this title.
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