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Software Architecture Metrics

Software Architecture Metrics

Christian Ciceri; Dave Farley; Neal Ford; Andrew Harmel-Law; Michael Keeling; Carola Lilienthal

O'Reilly Media
2022
nidottu
Software architecture metrics are key to the maintainability and architectural quality of a software project and they can warn you about dangerous accumulations of architectural and technical debt early in the process. In this practical book, leading hands-on software architects share case studies to introduce metrics that every software architect should know. This isn't a book about theory. It's more about practice and implementation, about what has already been tried and worked. Detecting software architectural issues early is crucial for the success of your software: it helps mitigate the risk of poor performance and lowers the cost of repairing those issues. Written by practitioners for software architects and software developers eager to explore successful case studies, this guide will help you learn more about decision and measurement effectiveness. Through contributions from 10 prominent practitioners, this book shares key software architecture metrics to help you set the right KPIs and measure the results. You'll learn how to: Measure how well your software architecture is meeting your goals Choose the right metrics to track (and skip the ones you don't need) Improve observability, testability, and deployability Prioritize software architecture projects Build insightful and relevant dashboards
Modern Computer Architecture and Organization

Modern Computer Architecture and Organization

Jim Ledin; Dave Farley

PACKT PUBLISHING LIMITED
2022
nidottu
A no-nonsense, practical guide to current and future processor and computer architectures that enables you to design computer systems and develop better software applications across a variety of domainsKey FeaturesUnderstand digital circuitry through the study of transistors, logic gates, and sequential logicLearn the architecture of x86, x64, ARM, and RISC-V processors, iPhones, and high-performance gaming PCsStudy the design principles underlying the domains of cybersecurity, bitcoin, and self-driving carsBook DescriptionAre you a software developer, systems designer, or computer architecture student looking for a methodical introduction to digital device architectures, but are overwhelmed by the complexity of modern systems? This step-by-step guide will teach you how modern computer systems work with the help of practical examples and exercises. You'll gain insights into the internal behavior of processors down to the circuit level and will understand how the hardware executes code developed in high-level languages.This book will teach you the fundamentals of computer systems including transistors, logic gates, sequential logic, and instruction pipelines. You will learn details of modern processor architectures and instruction sets including x86, x64, ARM, and RISC-V. You will see how to implement a RISC-V processor in a low-cost FPGA board and write a quantum computing program and run it on an actual quantum computer.This edition has been updated to cover the architecture and design principles underlying the important domains of cybersecurity, blockchain and bitcoin mining, and self-driving vehicles.By the end of this book, you will have a thorough understanding of modern processors and computer architecture and the future directions these technologies are likely to take.What you will learnUnderstand the fundamentals of transistor technology and digital circuitsExplore the concepts underlying pipelining and superscalar processingImplement a complete RISC-V processor in a low-cost FPGAUnderstand the technology used to implement virtual machinesLearn about security-critical computing applications like financial transaction processingGet up to speed with blockchain and the hardware architectures used in bitcoin miningExplore the capabilities of self-navigating vehicle computing architecturesWrite a quantum computing program and run it on a real quantum computerWho this book is forThis book is for software developers, computer engineering students, system designers, reverse engineers, and anyone looking to understand the architecture and design principles underlying modern computer systems: ranging from tiny, embedded devices to warehouse-size cloud server farms. A general understanding of computer processors is helpful but not required.