Modern Software Engineering Doing What Works To Build Better Software Faster

Download Modern Software Engineering Doing What Works To Build Better Software Faster PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Modern Software Engineering Doing What Works To Build Better Software Faster book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Modern Software Engineering

Author: David Farley
language: en
Publisher: Addison-Wesley Professional
Release Date: 2021-11-16
Improve Your Creativity, Effectiveness, and Ultimately, Your Code 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: learning and exploration and 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. 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 Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Computer Science Foundations Quiz Book

This book is a self–assessment book / quiz book. It has a vast collection of over 2,500 questions, along with answers. The questions have a wide range of difficulty levels. They have been designed to test a good understanding of the fundamental aspects of the major core areas of Computer Science. The topical coverage includes data representation, digital design, computer organization, software, operating systems, data structures, algorithms, programming languages and compilers, automata, languages, and computation, database systems, computer networks, and computer security.
Beyond Code

AI-powered coding tools are revolutionizing software development, transforming programming from a specialized skill into an accessible educational practice across disciplines. This book investigates how tools such as Cursor AI, GitHub Copilot, and Replit's Ghostwriter are dismantling traditional barriers to entry for learners—particularly those from non-STEM backgrounds—by enabling natural language code generation, intelligent debugging, and interactive, project-based learning. Bridging the gap between theoretical instruction and practical application, the book serves as both a guide and a critical framework for integrating generative AI into curricula. It highlights how these tools expand the boundaries of programming education by supporting interdisciplinary applications, from literary analysis to creative writing, thereby making coding relevant and actionable for students in the humanities and beyond. The book equips educators with the tools and strategies necessary to incorporate AI-assisted programming into diverse academic contexts by offering lesson plans and adaptable project models. This resource is essential for instructors seeking to demystify coding, promote inclusivity in technical learning, and reimagine the role of software literacy in the twenty-first-century classroom.