Software Architecture Metrics - Christian Ciceri, Dave Farley, Neal Ford, Andrew Harmel-Law, Michael Keeling

Software Architecture Metrics

Case Studies to Improve the Quality of Your Architecture
Buch | Softcover
250 Seiten
2022
O'Reilly Media (Verlag)
978-1-0981-1223-3 (ISBN)
65,95 inkl. MwSt
In this practical book, leading hands-on software architects share case studies to introduce metrics that every software architect should know. 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.
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
Erscheinungsdatum
Verlagsort Sebastopol
Sprache englisch
Maße 178 x 233 mm
Themenwelt Mathematik / Informatik Informatik Software Entwicklung
ISBN-10 1-0981-1223-7 / 1098112237
ISBN-13 978-1-0981-1223-3 / 9781098112233
Zustand Neuware
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