Название: Modern Software Engineering: Doing What Works to Build Better Software Faster (Rough Cuts)Автор: David Farley
Издательство: Addison-Wesley Professional
Год: 2021
Страниц: 271
Язык: английский
Формат: epub
Размер: 10.2 MB
Amplify Your Creativity, Effectiveness, and Personal Fulfillment as a Software Professional.
In Modern Software Engineering, continuous delivery pioneer David Farley helps software professionals think about their work more effectively, manage it more successfully, and genuinely improve the quality of their applications, their lives, and the lives of their colleagues.
Writing for programmers, managers, and technical leads at all levels of experience, Farley illuminates durable principles at the heart of effective software development, He distills the discipline into two core exercises: first, learning and exploration, and second, managing complexity. For each, he defines principles that can help you improve everything from your mindset to the quality of your code, and describes approaches proven to promote success.
Farley's ideas and techniques cohere into a unified, scientific, and foundational approach to solving practical software development problems within realistic economic constraints. This general, durable, and pervasive approach to software engineering can help you solve problems you haven't encountered yet, using today's technologies and tomorrow's. It offers you deeper insight into what you do every day, helping you create better software, faster, with more pleasure and personal fulfillment.
The book embraces the messy reality of developing code, or should I say, software engineering: there is no single correct answer. Things will change. What was correct at one point in time is sometimes very wrong even a short time later. The first half of the book (“Optimize for Learning”) offers practical solutions for not only surviving this reality but thriving in it. The second half (“Optimize for Managing Complexity”) takes topics that might be considered abstract or academic by some and shows how to apply them to design better (e.g., more robust or more maintainable or other characteristics of “better”) code.
Clarify what you're trying to accomplish
Choose your tools based on sensible criteria
Organize work and systems to facilitate continuing incremental progress
Evaluate your progress toward thriving systems, not just more "legacy code"
Gain more value from experimentation and empiricism
Stay in control as systems grow more complex
Achieve rigor without too much rigidity
Learn from history and experience
Distinguish "good" new software development ideas from "bad" ones
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