SMT solvers power many automated security analysis tools today. Nevertheless, a smooth integration of SMT solvers into programs is still a challenge that lead to different approaches for doing it the right way. In this paper, we review the state of the art for interacting with constraint solvers. Based on the different ideas found in literature we deduce requirements for a constraint solving service simplifying the integration challenge. We identify that for some of those ideas, it is required to run large scale experiments for evaluating some of the ideas behind the requirements empirically. We show that the platform is capable of running such an experiment for the case of measuring the impacts of seeds on the solver runtime
The approach Why3 takes to interfacing with a wide variety of interactive and automatic theorem prov...
The problem of generating a large number of diverse solutions to a logical constraint has important ...
. Applying constraint-based problem solving methods in a new domain often requires considerable work...
This report documents the program and the outcomes of Dagstuhl Seminar 19062 "Bringing CP, SAT and S...
Constraint answer set programming is a promising research direction that integrates answer set progr...
Constraint answer set programming is a promising research direction that integrates answer set progr...
• Software engineering (SE) problems reduced to logic problems • Automation, engineering, usability ...
© 2018 International Joint Conferences on Artificial Intelligence. All right reserved. We introduce ...
The approach Why3 takes to interfacing with a wide variety of interactive and automatic theorem pro...
Modern constraint programming solvers incorporate SATstyle clause learning, where sets of domain res...
Answer set programming (ASP) is a programming language that plays a critical role in the development...
This paper describes a method for combining "off-the-shelf" SAT and constraint solvers for building ...
This paper describes a method for combining "off-the-shelf" SAT and constraint solvers for building ...
In this thesis we focus on solving CSPs using SMT. Essentially, what we do is reformulating CSPs in...
Software failures remain costly and the need for more effective analysis techniques for finding faul...
The approach Why3 takes to interfacing with a wide variety of interactive and automatic theorem prov...
The problem of generating a large number of diverse solutions to a logical constraint has important ...
. Applying constraint-based problem solving methods in a new domain often requires considerable work...
This report documents the program and the outcomes of Dagstuhl Seminar 19062 "Bringing CP, SAT and S...
Constraint answer set programming is a promising research direction that integrates answer set progr...
Constraint answer set programming is a promising research direction that integrates answer set progr...
• Software engineering (SE) problems reduced to logic problems • Automation, engineering, usability ...
© 2018 International Joint Conferences on Artificial Intelligence. All right reserved. We introduce ...
The approach Why3 takes to interfacing with a wide variety of interactive and automatic theorem pro...
Modern constraint programming solvers incorporate SATstyle clause learning, where sets of domain res...
Answer set programming (ASP) is a programming language that plays a critical role in the development...
This paper describes a method for combining "off-the-shelf" SAT and constraint solvers for building ...
This paper describes a method for combining "off-the-shelf" SAT and constraint solvers for building ...
In this thesis we focus on solving CSPs using SMT. Essentially, what we do is reformulating CSPs in...
Software failures remain costly and the need for more effective analysis techniques for finding faul...
The approach Why3 takes to interfacing with a wide variety of interactive and automatic theorem prov...
The problem of generating a large number of diverse solutions to a logical constraint has important ...
. Applying constraint-based problem solving methods in a new domain often requires considerable work...