Termination proofs and the length of derivations
RTA-89 Proceedings of the 3rd international conference on Rewriting Techniques and Applications
Term rewriting and all that
Termination of term rewriting using dependency pairs
Theoretical Computer Science - Trees in algebra and programming
Modular termination proofs for rewriting using dependency pairs
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Algorithms with polynomial interpretation termination proof
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Mechanizing and Improving Dependency Pairs
Journal of Automated Reasoning
Tyrolean termination tool: Techniques and features
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Automated Complexity Analysis Based on the Dependency Pair Method
IJCAR '08 Proceedings of the 4th international joint conference on Automated Reasoning
Automating the dependency pair method
Information and Computation - Special issue: 19th international conference on automated deduction (CADE-19)
SAT solving for termination analysis with polynomial interpretations
SAT'07 Proceedings of the 10th international conference on Theory and applications of satisfiability testing
Complexity analysis by rewriting
FLOPS'08 Proceedings of the 9th international conference on Functional and logic programming
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FroCoS'05 Proceedings of the 5th international conference on Frontiers of Combining Systems
Dependency Pairs and Polynomial Path Orders
RTA '09 Proceedings of the 20th International Conference on Rewriting Techniques and Applications
The Derivational Complexity Induced by the Dependency Pair Method
RTA '09 Proceedings of the 20th International Conference on Rewriting Techniques and Applications
Cdiprover3: a tool for proving derivational complexities of term rewriting systems
ESSLLI'08/09 Proceedings of the 2008 international conference on Interfaces: explorations in logic, language and computation
A dependency pair framework for innermost complexity analysis of term rewrite systems
CADE'11 Proceedings of the 23rd international conference on Automated deduction
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This paper builds on recent efforts (Hirokawa and Moser, 2008) to exploit the dependency pair method for verifying feasible, i.e., polynomial runtime complexities of term rewrite systems automatically. We extend our earlier results by revisiting dependency graphs in the context of complexity analysis. The obtained new results are easy to implement and considerably extend the analytic power of our existing methods. The gain in power is even more significant when compared to existing methods that directly, i.e., without the use of transformations, induce feasible runtime complexities. We provide ample numerical data for assessing the viability of the method.