Title :
Improving the precision of INCA by eliminating solutions with spurious cycles
Author :
Siegel, Stephen F. ; Avrunin, George S.
Author_Institution :
Dept. of Comput. Sci., Massachusetts Univ., Amherst, MA, USA
fDate :
2/1/2002 12:00:00 AM
Abstract :
The Inequality Necessary Condition Analyzer (INCA) is a finite-state verification tool that has been able to check properties of some very large concurrent systems. INCA checks a property of a concurrent system by generating a system of inequalities that must have integer solutions if the property can be violated. There may, however, be integer solutions to the inequalities that do not correspond to an execution violating the property. INCA thus accepts the possibility of an inconclusive result in exchange for greater tractability. We describe here a method for eliminating one of the two main sources of these inconclusive results
Keywords :
concurrency theory; finite state machines; formal verification; software tools; INCA; Inequality Necessary Condition Analyzer; finite-state verification tool; inequalities; integer solutions; spurious cycle solution elimination; very large concurrent systems; Automata; Computer Society; Costs; Explosions; Linear programming; State-space methods; System recovery; System testing;
Journal_Title :
Software Engineering, IEEE Transactions on