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Practical Methods for Proving Program Termination

Michael A. ColónContact Information and Henny B. SipmaContact Information

(6)  Computer Science Department, Stanford University, Stanford, CA, 94305-9045
Abstract
We present two algorithms to prove termination of programs by synthesizing linear ranking functions. The first uses an invariant generator based on iterative forward propagation with widening and extracts ranking functions from the generated invariants by manipulating polyhedral cones. It is capable of finding subtle ranking functions which are linear combinations of many program variables, but is limited to programs with few variables.
The second, more heuristic, algorithm targets the class of structured programs with single-variable ranking functions. Its invariant generator uses a heuristic extrapolation operator to avoid iterative forward propagation over program loops. For the programs we have considered, this approach converges faster and the invariants it discovers are sufficiently strong to imply the existence of ranking functions.
This research was supported in part by NSF(ITR) grant CCR-01-21403, by NSF grant CCR-99-00984-001, by ARO grant DAAD19-01-1-0723, and by ARPA/AF contracts F33615-00-C-1693 and F33615-99-C-3014.

Contact Information Michael A. Colón
Email: colon@cs.stanford.edu

Contact Information Henny B. Sipma
Email: sipma@cs.stanford.edu
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