Extracting behaviour from an executable instruction set model
B. K. Campbell, Ian Stark · 2016
Presenting large formal instruction set models as executable functions makes them accessible to engineers and useful for less formal purposes such as simulation. However, it is more difficult to extract information about the behaviour of individual instructions for reasoning. We present a method which combines symbolic evaluation and symbolic execution techniques to provide a rule-based view of instruction behaviour, with particular application to automatic test generation for large MIPS-like models.