There are many books on computers, networks, and software engineering but none that integrate the three with applications. Integration is important because, increasingly, software dominates the performance, reliability, maintainability, and availability of complex computer and systems. Books on software engineering typically portray software as if it exists in a vacuum with no relationship to the wider system. This is wrong because a system is more than software. It is comprised of people, organizations, processes, hardware, and software. All of these components must be considered in an integrative fashion when designing systems. On the other hand, books on computers and networks do not demonstrate a deep understanding of the intricacies of developing software. In this book you will learn, for example, how to quantitatively analyze the performance, reliability, maintainability, and availability of computers, networks, and software in relation to the total system. Furthermore, you will learn how to evaluate and mitigate the risk of deploying integrated systems. You will learn how to apply many models dealing with the optimization of systems. Numerous quantitative examples are provided to help you understand and interpret model results. This book can be used as a first year graduate course in computer, network, and software engineering; as an on-the-job reference for computer, network, and software engineers; and as a reference for these disciplines.
Part One Computer Engineering
1. Digital Logic and Microprocessor Design 3
2. Case Study in Computer Design 63
3. Analog and Digital Computer Interactions 83
Part Two Network Engineering
4. Integrated Software and Real-Time System Design with Applications 99
5. Network Systems 125
6. Future Internet Performance Models 143
7. Network Standards 211
8. Network Reliability and Availability Metrics 228
Part Three Software Engineering
9. Programming Languages 263
10. Operating Systems 286
11. Software Reliability and Safety 303
Part Four Integration of Disciplines
12. Integration of Hardware and Software Reliability 315
Part Five Applications
13. Applying Neural Networks to Software Reliability Assessment 337
14. Web Site Design 354
15. Mobile Device Engineering 377
16. Signal-Driven Software Model for Mobile Devices 396
17. Object-Oriented Analysis and Design Applied to Mathematical Software 420
18. Tutorial on Hardware and Software Reliability, Maintainability, and Availability 443
Practice Problems with Solutions 1 466
Practice Problems with Solutions 2 504
