public void Check()
{
var m = new SharedModels.SimpleExample2a();
Probability minProbabilityOfFinal0;
Probability minProbabilityOfFinal0Lt;
Probability minProbabilityOfFinal1;
Probability minProbabilityOfFinal2;
Probability maxProbabilityOfFinal0;
Probability maxProbabilityOfFinal0Lt;
Probability maxProbabilityOfFinal1;
Probability maxProbabilityOfFinal2;
var final0Formula = new BoundedUnaryFormula(SharedModels.SimpleExample2a.StateIs0, UnaryOperator.Finally, 4);
var final0LtFormula =
new BoundedUnaryFormula(
new BinaryFormula(SharedModels.SimpleExample2a.StateIs0, BinaryOperator.And, SharedModels.SimpleExample2a.LocalVarIsTrue),
UnaryOperator.Finally, 4);
var final1Formula = new BoundedUnaryFormula(SharedModels.SimpleExample2a.StateIs1, UnaryOperator.Finally, 4);
var final2Formula = new BoundedUnaryFormula(SharedModels.SimpleExample2a.StateIs2, UnaryOperator.Finally, 4);
var nmdpGenerator = new SimpleNmdpFromExecutableModelGenerator(m);
nmdpGenerator.Configuration.WriteGraphvizModels = true;
nmdpGenerator.Configuration.DefaultTraceOutput = Output.TextWriterAdapter();
nmdpGenerator.Configuration.ModelCapacity = ModelCapacityByMemorySize.Small;
nmdpGenerator.Configuration.UseAtomarPropositionsAsStateLabels = false;
nmdpGenerator.AddFormulaToCheck(final0Formula);
nmdpGenerator.AddFormulaToCheck(final0LtFormula);
nmdpGenerator.AddFormulaToCheck(final1Formula);
nmdpGenerator.AddFormulaToCheck(final2Formula);
var nmdp = nmdpGenerator.GenerateMarkovDecisionProcess();
var typeOfModelChecker = typeof(BuiltinNmdpModelChecker);
var modelChecker = (NmdpModelChecker)Activator.CreateInstance(typeOfModelChecker, nmdp, Output.TextWriterAdapter());
using (modelChecker)
{
minProbabilityOfFinal0 = modelChecker.CalculateMinimalProbability(final0Formula);
minProbabilityOfFinal0Lt = modelChecker.CalculateMinimalProbability(final0LtFormula);
minProbabilityOfFinal1 = modelChecker.CalculateMinimalProbability(final1Formula);
minProbabilityOfFinal2 = modelChecker.CalculateMinimalProbability(final2Formula);
maxProbabilityOfFinal0 = modelChecker.CalculateMaximalProbability(final0Formula);
maxProbabilityOfFinal0Lt = modelChecker.CalculateMaximalProbability(final0LtFormula);
maxProbabilityOfFinal1 = modelChecker.CalculateMaximalProbability(final1Formula);
maxProbabilityOfFinal2 = modelChecker.CalculateMaximalProbability(final2Formula);
}
minProbabilityOfFinal0.Is(1.0, 0.000001).ShouldBe(true);
minProbabilityOfFinal0Lt.Is(0.0, 0.000001).ShouldBe(true);
minProbabilityOfFinal1.Is(0.0, 0.000001).ShouldBe(true);
minProbabilityOfFinal2.Is(0.0, 0.000001).ShouldBe(true);
maxProbabilityOfFinal0.Is(1.0, 0.000001).ShouldBe(true);
maxProbabilityOfFinal0Lt.Is(1.0, 0.000001).ShouldBe(true);
var maxProbabilityOf1And2Calculated = 1.0 - Math.Pow(0.6, 4);
maxProbabilityOfFinal1.Is(maxProbabilityOf1And2Calculated, 0.000001).ShouldBe(true);
maxProbabilityOfFinal2.Is(maxProbabilityOf1And2Calculated, 0.000001).ShouldBe(true);
}
private void CheckBounded(AnalysisConfiguration configuration)
{
var m = new SharedModels.SimpleExample2a();
Probability minProbabilityOfFinal0;
Probability minProbabilityOfFinal0Lt;
Probability minProbabilityOfFinal1;
Probability minProbabilityOfFinal2;
Probability maxProbabilityOfFinal0;
Probability maxProbabilityOfFinal0Lt;
Probability maxProbabilityOfFinal1;
Probability maxProbabilityOfFinal2;
var final0Formula = new BoundedUnaryFormula(SharedModels.SimpleExample2a.StateIs0, UnaryOperator.Finally, 4);
var final0LtFormula =
new BoundedUnaryFormula(
new BinaryFormula(SharedModels.SimpleExample2a.StateIs0, BinaryOperator.And, SharedModels.SimpleExample2a.LocalVarIsTrue),
UnaryOperator.Finally, 4);
var final1Formula = new BoundedUnaryFormula(SharedModels.SimpleExample2a.StateIs1, UnaryOperator.Finally, 4);
var final2Formula = new BoundedUnaryFormula(SharedModels.SimpleExample2a.StateIs2, UnaryOperator.Finally, 4);
var mdpGenerator = new SimpleMarkovDecisionProcessFromExecutableModelGenerator(m);
mdpGenerator.Configuration = configuration;
mdpGenerator.AddFormulaToCheck(final0Formula);
mdpGenerator.AddFormulaToCheck(final0LtFormula);
mdpGenerator.AddFormulaToCheck(final1Formula);
mdpGenerator.AddFormulaToCheck(final2Formula);
var mdp = mdpGenerator.GenerateLabeledTransitionMarkovDecisionProcess();
var modelChecker = new ConfigurationDependentLtmdpModelChecker(configuration, mdp, Output.TextWriterAdapter());
using (modelChecker)
{
minProbabilityOfFinal0 = modelChecker.CalculateMinimalProbability(final0Formula);
minProbabilityOfFinal0Lt = modelChecker.CalculateMinimalProbability(final0LtFormula);
minProbabilityOfFinal1 = modelChecker.CalculateMinimalProbability(final1Formula);
minProbabilityOfFinal2 = modelChecker.CalculateMinimalProbability(final2Formula);
maxProbabilityOfFinal0 = modelChecker.CalculateMaximalProbability(final0Formula);
maxProbabilityOfFinal0Lt = modelChecker.CalculateMaximalProbability(final0LtFormula);
maxProbabilityOfFinal1 = modelChecker.CalculateMaximalProbability(final1Formula);
maxProbabilityOfFinal2 = modelChecker.CalculateMaximalProbability(final2Formula);
}
minProbabilityOfFinal0.Is(1.0, 0.000001).ShouldBe(true);
minProbabilityOfFinal0Lt.Is(0.0, 0.000001).ShouldBe(true);
minProbabilityOfFinal1.Is(0.0, 0.000001).ShouldBe(true);
minProbabilityOfFinal2.Is(0.0, 0.000001).ShouldBe(true);
maxProbabilityOfFinal0.Is(1.0, 0.000001).ShouldBe(true);
maxProbabilityOfFinal0Lt.Is(1.0, 0.000001).ShouldBe(true);
var maxProbabilityOf1And2Calculated = 1.0 - Math.Pow(0.6, 4);
maxProbabilityOfFinal1.Is(maxProbabilityOf1And2Calculated, 0.000001).ShouldBe(true);
maxProbabilityOfFinal2.Is(maxProbabilityOf1And2Calculated, 0.000001).ShouldBe(true);
}
public void Check()
{
var m = new SharedModels.SimpleExample2a();
Probability probabilityOfFinal0;
Probability probabilityOfFinal0Lt;
Probability probabilityOfFinal1;
Probability probabilityOfFinal2;
var final0Formula = new UnaryFormula(SharedModels.SimpleExample2a.StateIs0, UnaryOperator.Finally);
var final0LtFormula =
new UnaryFormula(
new BinaryFormula(SharedModels.SimpleExample2a.StateIs0, BinaryOperator.And, SharedModels.SimpleExample2a.LocalVarIsTrue),
UnaryOperator.Finally);
var final1Formula = new UnaryFormula(SharedModels.SimpleExample2a.StateIs1, UnaryOperator.Finally);
var final2Formula = new UnaryFormula(SharedModels.SimpleExample2a.StateIs2, UnaryOperator.Finally);
var markovChainGenerator = new SimpleDtmcFromExecutableModelGenerator(m);
markovChainGenerator.Configuration.WriteGraphvizModels = true;
markovChainGenerator.Configuration.DefaultTraceOutput = Output.TextWriterAdapter();
markovChainGenerator.Configuration.ModelCapacity = ModelCapacityByMemorySize.Small;
markovChainGenerator.Configuration.UseAtomarPropositionsAsStateLabels = false;
markovChainGenerator.AddFormulaToCheck(final0Formula);
markovChainGenerator.AddFormulaToCheck(final0LtFormula);
markovChainGenerator.AddFormulaToCheck(final1Formula);
markovChainGenerator.AddFormulaToCheck(final2Formula);
var dtmc = markovChainGenerator.GenerateMarkovChain();
var typeOfModelChecker = typeof(BuiltinDtmcModelChecker);
var modelChecker = (DtmcModelChecker)Activator.CreateInstance(typeOfModelChecker, dtmc, Output.TextWriterAdapter());
using (modelChecker)
{
probabilityOfFinal0 = modelChecker.CalculateProbability(final0Formula);
probabilityOfFinal0Lt = modelChecker.CalculateProbability(final0LtFormula);
probabilityOfFinal1 = modelChecker.CalculateProbability(final1Formula);
probabilityOfFinal2 = modelChecker.CalculateProbability(final2Formula);
}
probabilityOfFinal0.Is(1.0, 0.000001).ShouldBe(true);
probabilityOfFinal0Lt.Is(0.55 / 3.0 * 4.0, 0.000001).ShouldBe(true);
probabilityOfFinal1.Is(0.5, 0.000001).ShouldBe(true);
probabilityOfFinal2.Is(0.5, 0.000001).ShouldBe(true);
}
private void Check(AnalysisConfiguration configuration)
{
var m = new SharedModels.SimpleExample2a();
Probability probabilityOfFinal0;
Probability probabilityOfFinal0Lt;
Probability probabilityOfFinal1;
Probability probabilityOfFinal2;
var final0Formula = new UnaryFormula(SharedModels.SimpleExample2a.StateIs0, UnaryOperator.Finally);
var final0LtFormula =
new UnaryFormula(
new BinaryFormula(SharedModels.SimpleExample2a.StateIs0, BinaryOperator.And, SharedModels.SimpleExample2a.LocalVarIsTrue),
UnaryOperator.Finally);
var final1Formula = new UnaryFormula(SharedModels.SimpleExample2a.StateIs1, UnaryOperator.Finally);
var final2Formula = new UnaryFormula(SharedModels.SimpleExample2a.StateIs2, UnaryOperator.Finally);
var markovChainGenerator = new SimpleMarkovChainFromExecutableModelGenerator(m);
markovChainGenerator.Configuration = configuration;
markovChainGenerator.AddFormulaToCheck(final0Formula);
markovChainGenerator.AddFormulaToCheck(final0LtFormula);
markovChainGenerator.AddFormulaToCheck(final1Formula);
markovChainGenerator.AddFormulaToCheck(final2Formula);
var ltmc = markovChainGenerator.GenerateLabeledMarkovChain();
var modelChecker = new ConfigurationDependentLtmcModelChecker(configuration, ltmc, Output.TextWriterAdapter());
using (modelChecker)
{
probabilityOfFinal0 = modelChecker.CalculateProbability(final0Formula);
probabilityOfFinal0Lt = modelChecker.CalculateProbability(final0LtFormula);
probabilityOfFinal1 = modelChecker.CalculateProbability(final1Formula);
probabilityOfFinal2 = modelChecker.CalculateProbability(final2Formula);
}
probabilityOfFinal0.Is(1.0, 0.000001).ShouldBe(true);
probabilityOfFinal0Lt.Is(0.55 / 3.0 * 4.0, 0.000001).ShouldBe(true);
probabilityOfFinal1.Is(0.5, 0.00001).ShouldBe(true);
probabilityOfFinal2.Is(0.5, 0.00001).ShouldBe(true);
}
