Write Great Code: Volume 3: Engineering software

Engineering Software , the third volume in the landmark Write Great Code series by Randall Hyde, helps you create readable and maintainable code that will generate awe from fellow programmers. The field of software engineering may value team productivity over individual growth, but legendary computer scientist Randall Hyde wants to make promising programmers into masters of their craft. To that end, Engineering Software —the latest volume in Hyde's highly regarded Write Great Code series—offers his signature in-depth coverage of everything from development methodologies and strategic productivity to object-oriented design requirements and system documentation. You'll learn: Why following the software craftsmanship model can lead you to do your best work How to utilize traceability to enforce consistency within your documentation The steps for creating your own UML requirements with use-case analysis How to leverage the IEEE documentation standards to create better software This advanced apprenticeship in the skills, attitudes, and ethics of quality software development reveals the right way to apply engineering principles to programming. Hyde will teach you the rules, and show you when to break them. Along the way, he offers illuminating insights into best practices while empowering you to invent new ones. Brimming with resources and packed with examples, Engineering Software is your go-to guide for writing code that will set you apart from your peers. If you've asked someone the secret to writing efficient, well-written software, the answer that you've probably gotten is "learn assembly language programming." By learning assembly language programming, you learn how the machine really operates and that knowledge will help you write better high-level language code. A dirty little secret assembly language programmers rarely admit to, however, is that what you really need to learn is machine organization, not assembly language programming. Write Great Code Vol I, the first in a series from assembly language expert Randall Hyde, dives right into machine organization without the extra overhead of learning assembly language programming at the same time. And since Write Great Code Vol I concentrates on the machine organization, not assembly language, the reader will learn in greater depth those subjects that are language-independent and of concern to a high level language programmer. Write Great Code Vol I will help programmers make wiser choices with respect to programming statements and data types when writing software, no matter which language they use. Oday's programming languages offer productivity and portability, but also make it easy to write sloppy code that isn't optimized for a compiler. Thinking Low-Level, Writing High-Level will teach you to craft source code that results in good machine code once it's run through a compiler. You'll learn: " ow to analyze the output of a compiler to verify that your code generates good machine code " he types of machine code statements that compilers generate for common control structures, so you can choose the best statements when writing HLL code " nough assembly language to read compiler output " ow compilers convert various constant and variable objects into machine data With an understanding of how compilers work, you'll be able to write source code that they can translate into elegant machine code. NEW TO THIS EDITION, COVERAGE OF: " rogramming languages like Swift and Java " ode generation on modern 64-bit CPUs " RM processors on mobile phones and tablets " tack-based architectures like the Java Virtual Machine " odern language systems like the Microsoft Common Language Runtime "Understanding the Machine, the first volume explains the underlying mechanics of how a computer works. The first volume dives into machine organization without the extra overhead of learning assembly language programming. Thinking Low-Level, Writing High-Level, the second volume in covers high-level programming languages (such as Swift and Java) as well as code generation on 64-bit CPUsARM, the Java Virtual Machine, and the Microsoft Common Runtime. Written for high-level language programmers, the series fills in the low-level details of machine organization that are often left out of computer science and engineering courses."-- Publisher description Today's programmers are often narrowly trained because the industry moves too fast. That's where Write Great Code, Volume 1: Understanding the Machine comes in. This, the first of four volumes by author Randall Hyde, teaches important concepts of machine organization in a language-independent fashion, giving programmers what they need to know to write great code in any language, without the usual overhead of learning assembly language to master this topic. A solid foundation in software engineering, The Write Great Code series will help programmers make wiser choices with respect to programming statements and data types when writing software. The field of software engineering may value team productivity over individual growth, but legendary computer scientist Randall Hyde wants to make promising programmers into masters of their craft. To that end, "Engineering software" the latest volume in Hyde's highly regarded "Write great code series"-- offers his signature in-depth coverage of everything from development methodologies and strategic productivity to object-oriented design requirements and system documentation "This, the first volume in Randall Hyde's Write Great Code series, dives into machine organization without the extra overhead of learning assembly language programming. Written for C/C++, VB, Pascal, Java, and other high-level language programmers, Volume I, "Understanding the Machine, " fills in the low-level details of machine organization that are often left out of computer science and engineering courses."--BOOK JACKET Brimming with resources and packed with examples, this in-depth resource is your go-to guide for writing code that will set you apart from your peers. -- Edited summary from book v. 1. Understanding the machine -- -- v. 2. Thinking low-level, writing high-level -- -- v. 3. Engineering software -- -- v. 4. Testing, debugging, and quality assurance. Provides information on how computer systems operate, how compilers work, and writing source code.