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The biggest advantage faced by AOP in verification environment design is the ability to help verification engineers solve complex problems by patch coding.
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Structure in verification environments is critical to dealing efficiently with complex projects.
Tests are the most common, obvious, and wide reaching of all crosscutting concerns in a verification environment.
In understanding a verification environment's architecture or operation, it becomes difficult to analyze which aspect a particular functionality belongs to or what file in the aspect contains the code.
We also show that the verification aids can be efficiently used to determine the completeness of the set of assertions in a simulation-based verification environment.
This chapter discusses the importance of structure and re-use in functional verification environments.
The verification speed-up in relation to typical software simulation within MATLAB® suite offered to the presented verification environment is in the range of 100s.
For instance, the time to build the verification environment described in this paper was roughly a halfman-year, excluding the actual transceiver.
In a structured or transaction-based verification environment, randomization can occur within each individual transaction, as well as among transactions.
Creating pluggable code requires a simple three-step process: encapsulating the code as an aspect, writing a code that connects the pluggable code to the verification environment, encapsulating it in the appropriate aspects, and writing a manifest file just for a feature.
Advice and introductions in Aspect-Oriented Programming (AOP) make it impossible to understand the operation of a verification environment.
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