The complexity of constraints is a major obstacle for constraint-based software verification. Au- tomatic constraint solvers are fundamentally incomplete: ...
Mar 27, 2010 · This paper proposes and evaluates several randomized solvers to address this issue. We compared the effectiveness of a symbolic solver (CVC3), a ...
Randomized constraint solvers: A comparative study - ResearchGate
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Oct 22, 2024 · Random-symbolic solving [11,21, 22] has been recently proposed as an approach to solve constraints with undecidable fragments. The approach is ...
This paper introduces a new algorithm, dubbed SMART for Systematic Modular Automated Random Testing, that extends DART by testing functions in isolation ...
Mar 27, 2010 · We study the impact of alternative randomization strategies for solving constraints. In this setting, random–symbolic test- ing reduces to ...
Missing: Testing. | Show results with:Testing.
This paper proposes and evaluates several randomized solvers to address this issue. We compared the effectiveness of a symbolic solver (CVC3), a random solver, ...
Missing: Testing. | Show results with:Testing.
A comparative study of randomized constraint solvers for random-symbolic testing. M Takaki, D Cavalcanti, R Gheyi, J Iyoda, M dAmorim, R Prudêncio.
Automatic constraint solvers are fundamentally incomplete: input constraints often build on some undecidable theory or some theory the solver does not support.
A Comparative Study of Randomized Constraint Solvers for Random-Symbolic Testing (.pdf). Mitsuo Takaki, Diego Cavalcanti, Rohit Gheyi, Juliano Iyoda ...
Apr 19, 2011 · A Comparative Study of Randomized Constraint Solvers for Random-Symbolic Testing (.pdf). Mitsuo Takaki, Diego Cavalcanti, Rohit Gheyi ...