Papers
Topics
Authors
Recent
Detailed Answer
Quick Answer
Concise responses based on abstracts only
Detailed Answer
Well-researched responses based on abstracts and relevant paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses
Gemini 2.5 Flash
Gemini 2.5 Flash 89 tok/s
Gemini 2.5 Pro 48 tok/s Pro
GPT-5 Medium 15 tok/s Pro
GPT-5 High 19 tok/s Pro
GPT-4o 90 tok/s Pro
Kimi K2 211 tok/s Pro
GPT OSS 120B 459 tok/s Pro
Claude Sonnet 4 36 tok/s Pro
2000 character limit reached

Detecting Spurious Counterexamples Efficiently in Abstract Model Checking (1109.5506v1)

Published 26 Sep 2011 in cs.LO

Abstract: Abstraction is one of the most important strategies for dealing with the state space explosion problem in model checking. In the abstract model, the state space is largely reduced, however, a counterexample found in such a model may not be a real counterexample in the concrete model. Accordingly, the abstract model needs to be further refined. How to check whether or not a reported counterexample is spurious is a key problem in the abstraction-refinement loop. In this paper, a formal definition for spurious path is given. Based on it, efficient algorithms for detecting spurious counterexamples are proposed.

Citations (17)
List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Follow-Up Questions

We haven't generated follow-up questions for this paper yet.

Authors (2)