Improving the precision of INCA by preventing spurious cycles

  • Authors:
  • Stephen F. Siegel;George S. Avrunin

  • Affiliations:
  • Dept. of Computer Science, Univ. of Massachusetts, Amherst, MA;Dept. of Mathematics and Statistics, Univ. of Massachusetts, Amherst, MA

  • Venue:
  • Proceedings of the 2000 ACM SIGSOFT international symposium on Software testing and analysis
  • Year:
  • 2000

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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.