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arlow j generative analysis power generative ai 2024 early release

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Textbook in PDF format Learn a new method of object-oriented analysis called generative analysis and keep your skill-set on pace with how generative AI is transforming the face of software engineering Generative AI is revolutionizing many industries, including 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 to 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 precise and structured, 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. Generative analysis artifacts feed generative AIs to generate code and UML models Techniques feed into and refine each other until a precise analysis definition of a software system is achieved Well-defined process has definite milestones and end points to eliminate "analysis paralysis" 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. Who this book is for We think we have three audiences 1. You are a programmer concerned about your future and wanting to learn how to work at a higher level of abstraction to leverage Generative AI effectively in the software development process. 2. You are a business analyst who has realized that they need to be much more precise and possibly work at a lower level of abstraction to leverage Generative AI. 3. You are a student who wants to learn powerful analysis techniques and how to use Generative AI in software development. Prerequisites Ideally, you would be a business analyst who is also a competent programmer who is comfortable building models of software systems with the Unified Modeling Language (UML). We understand that this is a very big ask! However, you don’t need to be an expert programmer, you just need to be able to read code and understand UML artefacts without necessarily understanding the fine details. For code examples, we have chosen Python because this is probably the most easily readable programming language. Similarly, you don’t need to be an expert UML modeller. Most of the models in the book will be explained as we go along and are quite easy to understand. Preface Generative Analysis for Generative AI Launching OLAS, the example project Capturing information in Generative Analysis OLAS Elaboration Phase Communication M++ Literate Modeling Information in Generative Analysis Generative Analysis by Example Use case modeling OLAS The Administration Subsystem The Security subsystem The Catalog subsystem The Loan subsystem The Inn smouth interface Milton++ Summary

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Arlow J. Generative Analysis. The Power of Generative AI for OOP...with UML 2024.pdf 81.8 MB

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arlow j generative analysis power generative ai 2024 early release