Advances in counterexample-guided abstraction refinement
نویسندگان
چکیده
This report is a collection of six articles on model checking in the abstraction/refinement framework. This framework is used by various techniques for tackling the state-space explosion problem that is frequently encountered in model checking. The articles collected in this report are (in order of appearance): 1. Counterexample-guided abstraction refinement. Clarke, Grumberg, Jha, Lu, Veith[2] 2. SAT based Abstraction-Refinement using ILP and Machine Learning Techniques. Clarke, Gupta, Kukula, Strichman [6] 3. Automated Abstraction Refinement for Model Checking Large State Spaces using SAT based Conflict Analysis. Chauhan, Clarke, Kukula, Sapra, Veith, Wang [1] 4. SAT based Predicate Abstraction for Hardware Verification. Clarke, Talupur, Wang [4] 5. High Level Verification of Control Intensive Systems Using Predicate Abstraction. Clarke, Grumberg, Talupur,Wang [3] 6. Verification of Hybrid Systems Based on Counterexample-Guided Abstraction Refinement. Clarke,Fehnker,Han,Krogh,Stursberg,Theobald [5]
منابع مشابه
Abstraction Refinement for Termination
ion Refinement for Termination⋆ Byron Cook, Andreas Podelski, and Andrey Rybalchenko 1 Microsoft Research, Cambridge 2 Max-Planck-Institut für Informatik, Saarbrücken Abstract. Abstraction can often lead to spurious counterexamples. Counterexample-guided abstraction refinement is a method of strengthening abstractions based on the analysis of these spurious counterexamples. For invariance prope...
متن کاملCounterexample-Guided Abstraction Refinement for the Analysis of Graph Transformation Systems
Graph transformation systems are a general specification language for systems with dynamically changing topologies, such as mobile and distributed systems. Although in the last few years several analysis and verification methods have been proposed for graph transformation systems, counterexample-guided abstraction refinement has not yet been studied in this setting. We propose a counterexample-...
متن کاملThe Localization Reduction and Counterexample-Guided Abstraction Refinement
Automated abstraction is widely recognized as a key method for computer-aided verification of hardware and software. In this paper, we describe the evolution of counterexample-guided refinement and other iterative abstraction refinement techniques.
متن کاملCounterexample Guided Abstraction Refinement for Stability Analysis
In this paper, we present a counterexample guided abstraction refinement (Cegar) algorithm for stability analysis of polyhedral hybrid systems. Our results build upon a quantitative predicate abstraction and model-checking algorithm for stability analysis, which returns a counterexample indicating a potential reason for instability. The main contributions of this paper include the validation of...
متن کاملCounterexample-Guided Cartesian Abstraction Refinement
Counterexample-guided abstraction refinement (CEGAR) is a method for incrementally computing abstractions of transition systems. We propose a CEGAR algorithm for computing abstraction heuristics for optimal classical planning. Starting from a coarse abstraction of the planning task, we iteratively compute an optimal abstract solution, check if and why it fails for the concrete planning task and...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2015