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By Bruce Douglass, Chief Evangelist, I-Logix Corporation, Madison, WI, USA
Description This practical new book provides much-needed, practical, hands-on experience capturing analysis and design in UML. It holds the hands
of engineers making the difficult leap from developing in C to the higher-level and more robust Unified Modeling Language, thereby supporting
professional development for engineers looking to broaden their skill-sets in order to become more saleable in the job market.
It provides
a laboratory environment through a series of progressively more complex exercises that act as building blocks, illustrating the various
aspects of UML and its application to real-time and embedded systems. With its focus on gaining proficiency, it goes a significant step
beyond basic UML overviews, providing both comprehensive methodology and the best level of supporting exercises available on the market.
Each exercise has a matching solution which is thoroughly explained step-by-step in the back of the book. The techniques used to solve
these problems come from the author?s decades of experience designing and constructing real-time systems. After the exercises have been
successfully completed, the book will act as a desk reference for engineers, reminding them of how many of the problems they face in
their designs can be solved.
Audience
PRIMARY MARKET: Embedded Design Engineers, Electrical Engineers, Computer Engineers, Software Engineers , System Engineers, System Architects
SECONDARY MARKET: Upper-level undergrad and post-graduate level electrical and computer engineering students
Contents Chapter 1: Basic UML introduction
Use Cases and requirements
Structural modeling: classes and objects
Behavioral modeling
Interactions
Statemachines
Activity diagrams
Chapter 2: The ROPES Process
Project lifecycles
Waterfall
Spiral
Semi-spiral
Workflows
Artifacts
Spiral development in detail
Analysis
Design
Translation
Testing
Part II: Exercises
Chapter 3: Specifying the Requirements
Overview:
What you will learn
Identifying kinds of requirements
Grouping Requirements
Identifying Use Cases
Capturing Quality of service requirements
in Use Cases
Operational architecture: Identifying Scenarios
Specification architecture: State machines for requirements Capture
Specification
architecture: Capturing complex requirements
Specification architecture: Capturing algorithms with activity diagrams
Validating requirements
model: Testing the requirements with execution
Chapter 4: Systems Architecture
Overview: What you will learn
Identifying system architecture
Performing tradeoff analysis for different architectures
Specifying subsystem interfaces
Mapping requirements to subsystems
Performing
hardware-software decomposition: Deployment architecture
Organizing your models
Chapter 5: Object Analysis
Overview: What you will learn
Identifying Objects 1: Applying object identification strategies
Identifying Objects 2: Applying object identification strategies
Validation
your object analysis: Elaboration of scenarios
Adding behavior: Reactive objects with state machines
Adding behavior: Algorithms with
activity diagrams
Adding behavior: Mixing state machines with activity diagrams
Validating your behavior
Chapter 6: Concurrency Architecture
Overview: What you will learn
Identifying Tasks
Analyzing the task set
Optimizing the task set
Preemptive multitasking
Interrupt Handlers
Cyclic executives
Mapping analysis objects to the concurrency model
Concurrent scenario analysis
Chapter 7: Distribution Architecture
Overview: What you will learn
Identifying distribution architecture
Asymmetric distribution: Master-Slave
Asymmetric distribution: Proxy
Pattern
Symmetric distribution: Broker Pattern
Chapter 8: Safety and Reliability Architecture
Overview: What you will learn
Identifying
channels
Homogeneous redundancy
Heterogeneous redundancy with fail-safe state
Heterogeneous redundancy without fail-safe state
Lightweight
redundancy
Chapter 8: Optimizing Collaborations
Overview: what you will learn
Optimizing reusability
Optimizing data access
Minimizing
complexity
Optimizing robustness
Optimizing time-efficiency
Optimizing space-efficiency
Using parametric classes
Chapter 9: Detailed
Design
Overview: what you will learn
Managing visibility and access
Managing data complexity
Ensuring pre- and post-conditions
Managing
state complexity
Managing algorithm complexity
Maximizing numeric accuracy
Part III: Answers
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