Formal verification increasingly has become recognized as an answer
to the problem of how to create ever more complex control systems,
which nonetheless are required to behave reliably. To be acceptable
in an industrial setting, formal verification must be highly
algorithmic; to cope with design complexity, it must support a
top-down design methodology that leads from an abstract design to
its detailed implementation. That combination of requirements
points directly to the widely recognized solution of
automata-theoretic verification, on account of its expressiveness,
computational complexity, and perhaps general utility as well. This
book develops the theory of automata-theoretic verification from
its foundations, with a focus on algorithms and heuristics to
reduce the computational complexity of analysis. It is suitable as
a text for a one-or two-semester graduate course, and is
recommended reading for anyone planning to use a verification tool,
such as COSPAN or SMV. An extensive bibliography that points to the
most recent sources, and extensive discussions of methodology and
comparisons with other techniques, make this a useful resource for
research or verification tool development, as well. Originally
published in 1995. The Princeton Legacy Library uses the latest
print-on-demand technology to again make available previously
out-of-print books from the distinguished backlist of Princeton
University Press. These editions preserve the original texts of
these important books while presenting them in durable paperback
and hardcover editions. The goal of the Princeton Legacy Library is
to vastly increase access to the rich scholarly heritage found in
the thousands of books published by Princeton University Press
since its founding in 1905.
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