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» Generating Regression Tests via Model Checking
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CAV
2010
Springer
251views Hardware» more  CAV 2010»
13 years 11 months ago
Automated Assume-Guarantee Reasoning through Implicit Learning
Abstract. We propose a purely implicit solution to the contextual assumption generation problem in assume-guarantee reasoning. Instead of improving the L∗ algorithm — a learnin...
Yu-Fang Chen, Edmund M. Clarke, Azadeh Farzan, Min...

Lecture Notes
742views
15 years 5 months ago
Computer Systems Analysis
Comparing systems using measurement, simulation, and queueing models. Common mistakes and how to avoid them, selection of techniques and metrics, art of data presentation, summariz...
Raj Jain
SP
2010
IEEE
220views Security Privacy» more  SP 2010»
13 years 11 months ago
TaintScope: A Checksum-Aware Directed Fuzzing Tool for Automatic Software Vulnerability Detection
—Fuzz testing has proven successful in finding security vulnerabilities in large programs. However, traditional fuzz testing tools have a well-known common drawback: they are in...
Tielei Wang, Tao Wei, Guofei Gu, Wei Zou
FMICS
2006
Springer
13 years 11 months ago
SAT-Based Verification of LTL Formulas
Abstract. Bounded model checking (BMC) based on satisfiability testing (SAT) has been introduced as a complementary technique to BDDbased symbolic model checking of LTL properties ...
Wenhui Zhang
CSDA
2007
136views more  CSDA 2007»
13 years 7 months ago
A note on iterative marginal optimization: a simple algorithm for maximum rank correlation estimation
The maximum rank correlation (MRC) estimator was originally studied by Han [1987. Nonparametric analysis of a generalized regression model. J. Econometrics 35, 303–316] and Sher...
Hansheng Wang