Software Engineering for Embedded Systems: Methods,Practical Techniques,and Applications,2nd Edition


Software Engineering for Embedded Systems: Methods,Practical Techniques,and Applications
ISBN-10: 0128094486
ISBN-13: 9780128094488
Edition 版次: 2
Released: 2019-06-21
Print Length 页数: 648 pages


Book Description
By finelybook

Software Engineering for Embedded Systems: Methods,Practical Techniques,and Applications,Second Edition provides the techniques and technologies in software engineering to optimally design and implement an embedded system. Written by experts with a solution focus,this encyclopedic reference gives an indispensable aid on how to tackle the day-to-day problems encountered when using software engineering methods to develop embedded systems. New sections cover peripheral programming,Internet of things,security and cryptography,networking and packet processing,and hands on labs. Users will learn about the principles of good architecture for an embedded system,design practices,details on principles,and much more.
Provides a roadmap of key problems/issues and references to their solution in the text
Reviews core methods and how to apply them
Contains examples that demonstrate timeless implementation details
Users case studies to show how key ideas can be implemented,the rationale for choices made,and design guidelines and trade-offs
Contributors
Acknowledgments
1: Software Engineering for Embedded and Real-Time Systems
2: Software Development Process
3: Embedded and Multicore System Architecture-Design and Optimization
4: Basic Programming Techniques
5: Programming and Implementation Guidelines
6: Operating Systems
7: Open-Source Software
8: Software and Compiler Optimization for Microcontrollers,Embedded Processors,and DSPs
9. Embedded Software Quality,Integration,and Testing Techniques
10: Embedded Multicore Software Development
11: Safety-Critical Development
12: Networking Software
13: Internet of Things
14: Security and Cryptography
15: Machine Learning at the Edge
Appendic. Performance Analysis Using NXP’s i. MX RT1050 Crossover Processor and the ZephyrTM Real-Time Operating System
Index

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