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Dynamic invariant analysis identifies likely properties over variables from observed program traces. These properties can aid programmers in refactoring, documenting, and debugging tasks by making dynamic patterns visible statically. Two useful forms of invariants involve relations among polynomials over program variables and relations among array variables. Current dynamic analysis methods support such invariants in only very limited forms. The authors combine mathematical techniques that have not previously been applied to this problem, namely equation solving, polyhedra construction, and SMT solving, to bring new capabilities to dynamic invariant detection.
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