Symbolic execution [4] is a popular program analysis technique which executes programs on unspecified inputs by using symbolic inputs instead of concrete data. Traditional applications of symbolic execution include test case generation and error detection. A recent development, Probabilistic symbolic execution (PSE) [2], aims to compute the probability of a target event to occur by computing the probability of the program paths leading to its occurrence. Both techniques are dependent on constraint solvers to check the satisfiability of the explored paths. PSE also further needs a model counter to compute the number of possible solutions for the analyzed constraints. The goal of this seminar is to: • Investigate the current techniques and to...
Most common vulnerabilities in modern software applications are due to errors in string manipulatio...
Symbolic execution is a path sensitive program analysis technique used for error detection and test ...
Symbolic execution is a path-sensitive program analysis technique that aids users with program verif...
As an important extension of symbolic execution (SE), probabilistic symbolic execution (PSE) compute...
Probabilistic Symbolic Execution (PSE) extends Symbolic Execution (SE), a path-sensitive static prog...
Recently we have proposed symbolic execution techniques for the probabilistic analysis of programs. ...
We extend recent approaches for calculating the probability of program behaviors, to allow model cou...
Probabilistic software analysis seeks to quantify the likelihood of reaching a target event under un...
Symbolic execution is a verification technique between testing and model checking. The aim is to fin...
Symbolic execution tools query constraint solvers for tasks such as determining the feasibility of p...
Symbolic execution is a powerful, systematic program analysis approach that has received much visibi...
Many security and software testing applications require checking whether certain properties of a pro...
Abstract. Most common vulnerabilities in Web applications are due to string manipulation errors in i...
Quantitative program analysis is an emerging area with applications to software testing and security...
Symbolic execution has been applied, among others, to check programs against contract specifications...
Most common vulnerabilities in modern software applications are due to errors in string manipulatio...
Symbolic execution is a path sensitive program analysis technique used for error detection and test ...
Symbolic execution is a path-sensitive program analysis technique that aids users with program verif...
As an important extension of symbolic execution (SE), probabilistic symbolic execution (PSE) compute...
Probabilistic Symbolic Execution (PSE) extends Symbolic Execution (SE), a path-sensitive static prog...
Recently we have proposed symbolic execution techniques for the probabilistic analysis of programs. ...
We extend recent approaches for calculating the probability of program behaviors, to allow model cou...
Probabilistic software analysis seeks to quantify the likelihood of reaching a target event under un...
Symbolic execution is a verification technique between testing and model checking. The aim is to fin...
Symbolic execution tools query constraint solvers for tasks such as determining the feasibility of p...
Symbolic execution is a powerful, systematic program analysis approach that has received much visibi...
Many security and software testing applications require checking whether certain properties of a pro...
Abstract. Most common vulnerabilities in Web applications are due to string manipulation errors in i...
Quantitative program analysis is an emerging area with applications to software testing and security...
Symbolic execution has been applied, among others, to check programs against contract specifications...
Most common vulnerabilities in modern software applications are due to errors in string manipulatio...
Symbolic execution is a path sensitive program analysis technique used for error detection and test ...
Symbolic execution is a path-sensitive program analysis technique that aids users with program verif...