Bøger af Jim Arlow

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.

Musical set theory is a set of mathematical tools and algorithms that can be used to analyse atonal (and other) music. As well as the fundamental problems of musical analysis, musicians and musical theorists coming to musical set theory for the first time also have the very significant problem of understanding the mathematics involved. That is where this book comes in. We explore the mathematics underpinning musical set theory, and and provide a textbook in which you can find everything you need without having to search through other mathematical texts. We assume very little basic knowledge of mathematics, and all concepts and notation are defined as clearly as possible as we go along. As we introduce mathematical concepts such as sets, groups, permutations etc. we illustrate how they apply to musical set theory, and other fields of music. Our aim is to take you on an adventure.This book is an interactive text, because everything in it is supported by code in the elegant, expressive and immensely powerful Wolfram Language (the language of Mathematica). For example, we don't just define what a, "prime form", is conceptually and mathematically, we show you how to calculate it, and provide algorithms and code to do that. Similarly for other mathematical objects such as interval vectors and set complexes. Everything that can be calculated is calculated. This approach allows us to make even very abstract ideas concrete and easy to understand via code and interactive demonstration programs. As with mathematical knowledge, we assume only a basic knowledge of coding, and the book is amply supported by the rich Mathematica ecosystem of online documentation, tutorials and books. Even very experienced programmers will find much of great interest in the Wolfram Language and the way we use it here.In order to achieve interactivity, this book comes in three formats, a paperback, an electronic book and a Mathematica Notebook. The notebook is fully executable and can be downloaded free of charge from the Wolfram Notebook Archive. It brings to life the wealth of algorithms and programs illustrated in the text. The code also provides a powerful and complete toolkit for the theorist who needs to apply musical set theory. In computing terms, it constitutes a "domain specific language" for musical set theory. As such, it provides a firm foundation for constructing larger programs.

Other OOAD books, such as the authors' own "UML 2 and the Unified Process" tell the novice what to do when. However, they tend not to cover the secret how aspects of OOAD that experienced modelers apply often intuitively and unconsciously to get great results.