public void GetGeneralizationTest()
{
var dcrGraph = new DcrGraph();
var activityA = new Activity("A", "somename1") { Included = true, Pending = true };
var activityB = new Activity("B", "somename2") { Included = false };
var activityC = new Activity("C", "somename3") { Included = false };
dcrGraph.AddActivities(activityA, activityB, activityC);
dcrGraph.AddIncludeExclude(true, activityA.Id, activityB.Id);
dcrGraph.AddIncludeExclude(true, activityB.Id, activityC.Id);
dcrGraph.AddIncludeExclude(false, activityA.Id, activityA.Id);
dcrGraph.AddIncludeExclude(false, activityB.Id, activityB.Id);
var log = new Log();
log.AddTrace(new LogTrace('A', 'B'));
log.AddTrace(new LogTrace('A', 'B', 'C'));
log.AddTrace(new LogTrace('A', 'B', 'C')); //duplicate trace should not matter
log.AddTrace(new LogTrace('A', 'B', 'C', 'A')); //illegal execution should count down
log.AddTrace(new LogTrace('A', 'B', 'C', 'A', 'A')); //this one should not matter, as we've already seen A been illegally executed from this state.
var log2 = new Log();
log2.AddTrace(new LogTrace('A', 'B'));
var qd1 = QualityDimensionRetriever.Retrieve(dcrGraph, log);
var qd2 = QualityDimensionRetriever.Retrieve(dcrGraph, log2);
Assert.IsTrue(qd1.Generality > qd2.Generality);
}
public void FitnessOnNestedGraph()
{
var dcrGraph = new DcrGraph();
var activityA = new Activity("A", "somename1") { Included = true };
var activityB = new Activity("B", "somename2") { Included = true };
var activityC = new Activity("C", "somename3") { Included = true };
var activityD = new Activity("D", "somename4") { Included = false };
var activityE = new Activity("E", "somename5") { Included = true };
var activityF = new Activity("F", "somename6") { Included = true };
dcrGraph.AddActivities(activityA,activityB,activityC,activityD,activityE,activityF);
dcrGraph.AddIncludeExclude(true, activityC.Id, activityD.Id);
dcrGraph.AddCondition(activityE.Id, activityF.Id); //outgoing relation
//ingoing relations
dcrGraph.AddCondition(activityA.Id, activityC.Id);
dcrGraph.AddCondition(activityA.Id, activityD.Id);
dcrGraph.AddCondition(activityA.Id, activityE.Id);
dcrGraph.MakeNestedGraph(new HashSet<Activity>() { activityC, activityD, activityE });
var log = new Log();
log.AddTrace(new LogTrace('A', 'C','D'));
log.AddTrace(new LogTrace('A', 'B', 'C'));
log.AddTrace(new LogTrace('A', 'E', 'F'));
log.AddTrace(new LogTrace('C', 'E','D')); //illegal trace should count down
//expecting fitness = 75%
var qd = UlrikHovsgaardAlgorithm.QualityMeasures.QualityDimensionRetriever.Retrieve(dcrGraph, log);
Assert.AreEqual(75d, qd.Fitness);
}
public void PrecisionOnNestedGraph()
{
var dcrGraph = new DcrGraph();
var activityA = new Activity("A", "somename1") { Included = true };
var activityB = new Activity("B", "somename2") { Included = false };
var activityC = new Activity("C", "somename3") { Included = true };
var activityD = new Activity("D", "somename4") { Included = false };
var activityE = new Activity("E", "somename5") { Included = false };
var activityF = new Activity("F", "somename6") { Included = false };
dcrGraph.AddActivities(activityA, activityB, activityC, activityD, activityE, activityF);
//ingoing relations
dcrGraph.AddCondition(activityA.Id, activityC.Id);
dcrGraph.AddCondition(activityA.Id, activityD.Id);
dcrGraph.AddCondition(activityA.Id, activityE.Id);
dcrGraph.AddCondition(activityC.Id, activityE.Id);
dcrGraph.AddIncludeExclude(true, activityC.Id, activityD.Id);
dcrGraph.AddIncludeExclude(true, activityD.Id, activityE.Id);
dcrGraph.AddIncludeExclude(true, activityE.Id, activityF.Id); //outgoing relation
dcrGraph.AddIncludeExclude(false, activityA.Id, activityA.Id);
dcrGraph.AddIncludeExclude(false, activityC.Id, activityC.Id);
dcrGraph.AddIncludeExclude(false, activityD.Id, activityD.Id);
dcrGraph.AddIncludeExclude(false, activityE.Id, activityE.Id);
//F can be run more than once
dcrGraph.MakeNestedGraph(new HashSet<Activity>() { activityC, activityD, activityE });
var log = new Log();
log.AddTrace(new LogTrace('A', 'C', 'D', 'E', 'F')); // we don't execute 'F' twice
log.AddTrace(new LogTrace('A', 'C', 'D', 'E', 'E')); //we illegally execute E
//legal activities executed pr. state = 5
// divided by illegal executed activities (1) + legal activities that could be executed (5 + 1) (F could be executed again.)
//expecting precision 5/7
var qd = UlrikHovsgaardAlgorithm.QualityMeasures.QualityDimensionRetriever.Retrieve(dcrGraph, log);
Assert.AreEqual((5d/7d)*100, qd.Precision);
}
public void SimplicityOnNestedGraph()
{
var dcrGraph = new DcrGraph();
var activityA = new Activity("A", "somename1") { Included = true, Pending = true};
var activityC = new Activity("C", "somename3") { Included = true };
var activityD = new Activity("D", "somename4") { Included = false };
var activityE = new Activity("E", "somename5") { Included = false };
var activityF = new Activity("F", "somename6") { Included = false };
dcrGraph.AddActivities(activityA, activityC, activityD, activityE, activityF);
//ingoing relations
dcrGraph.AddCondition(activityA.Id, activityC.Id);
dcrGraph.AddCondition(activityA.Id, activityD.Id);
dcrGraph.AddCondition(activityA.Id, activityE.Id);
dcrGraph.AddCondition(activityC.Id, activityE.Id); //inside nested relation
dcrGraph.AddIncludeExclude(true, activityC.Id, activityD.Id);
dcrGraph.AddIncludeExclude(true, activityD.Id, activityE.Id);
dcrGraph.AddIncludeExclude(true, activityE.Id, activityF.Id); //outgoing relation
dcrGraph.AddIncludeExclude(false, activityA.Id, activityA.Id);
dcrGraph.AddIncludeExclude(false, activityC.Id, activityC.Id);
dcrGraph.AddIncludeExclude(false, activityD.Id, activityD.Id);
dcrGraph.AddIncludeExclude(false, activityE.Id, activityE.Id);
//F can be run more than once
dcrGraph.MakeNestedGraph(new HashSet<Activity>() { activityC, activityD, activityE });
var log = new Log();
log.AddTrace(new LogTrace('A', 'C', 'D', 'E', 'F'));
log.AddTrace(new LogTrace('A', 'C', 'D', 'E', 'E'));
//S1 = amount of relations (9) / amount of possible relations n=6 (4n^2 - 3n = 126) = 9/126
//S2 = amount of coupled relations (9) / possible coupled relations (n^2 = 36) = 0,25
//S3 = amount of pending activities 1 / all activities (5) = 0,2 (pending activities should not count the nested graph)
const double totalRelationsPart = (1.0 - 9.0 / 126.0) / 2; // 50 % weight
const double relationCouplesPart = (1.0 - 9.0 / 21.0) / 2; // 50 % weight
const double pendingPart = (1.0 / 5.0) * 0.1; // 10 % possible negative weight
const double nestedPart = (1.0 / 5) * 0.2; // 20 % possible negative weight
//expecting simplicity: 1 - ((9/126)*0,45 + 0,25*0,45 + 0,2 * 0,10)
const double expected = (totalRelationsPart + relationCouplesPart - pendingPart - nestedPart) * 100.0;
var qd = UlrikHovsgaardAlgorithm.QualityMeasures.QualityDimensionRetriever.Retrieve(dcrGraph, log);
Assert.AreEqual(expected, qd.Simplicity);
}
public void RetrieveSimplicityTest()
{
var dcrGraph = new DcrGraph();
var activityA = new Activity("A", "somename1") { Included = true, Pending = true };
var activityB = new Activity("B", "somename2") { Included = false };
dcrGraph.AddActivities(activityA, activityB);
dcrGraph.AddIncludeExclude(true, activityA.Id, activityB.Id);
var log = new Log(); //log does not matter for simplicity
log.AddTrace(new LogTrace('A', 'B'));
log.AddTrace(new LogTrace('A', 'B', 'C'));
log.AddTrace(new LogTrace('A', 'B', 'C'));
log.AddTrace(new LogTrace('A', 'B', 'C', 'A'));
//S1 = amount of relations (1) / amount of possible relations (4n^2 - 3n = 10) = 0,10
//S2 = amount of coupled relations (1) / possible coupled relations (n^2 = 4) = 0,25
//S3 = amount of pending activities 1 / all activities (2) = 0,5
//expecting simplicity: (1.0 - 1 / 10) / 2 + (1.0 - 1 / 3) / 2 - (1 / 2) * 0.1
var qd = UlrikHovsgaardAlgorithm.QualityMeasures.QualityDimensionRetriever.Retrieve(dcrGraph, log);
Assert.AreEqual(((1.0 - 1.0 / 10.0) / 2 + (1.0 - 1.0 / 3.0) / 2 - (1.0 / 2.0) * 0.1) * 100.0, qd.Simplicity);
}
public void RetrievePrecisionTest()
{
var dcrGraph = new DcrGraph();
var activityA = new Activity("A", "somename1") { Included = true, Pending = true };
var activityB = new Activity("B", "somename2") { Included = false };
var activityC = new Activity("C", "somename3") { Included = false };
dcrGraph.AddActivities(activityA, activityB, activityC);
dcrGraph.AddIncludeExclude(true, activityA.Id, activityB.Id);
dcrGraph.AddIncludeExclude(true, activityB.Id, activityC.Id);
dcrGraph.AddIncludeExclude(false, activityA.Id, activityA.Id);
dcrGraph.AddIncludeExclude(false, activityB.Id, activityB.Id);
var log = new Log();
log.AddTrace(new LogTrace('A', 'B'));
log.AddTrace(new LogTrace('A', 'B', 'C'));
log.AddTrace(new LogTrace('A', 'B', 'C')); //duplicate trace should not matter
log.AddTrace(new LogTrace('A', 'B', 'C', 'A')); //illegal execution should count down
log.AddTrace(new LogTrace('A', 'B', 'C', 'A', 'A')); //this one should not matter, as we've already seen A been illegally executed from this state.
//legal activities executed pr. state = 3
// divided by illegal executed activities (1) + legal activities that could be executed (3 + 1) (c could be executed again.)
//expecting precision 3/5 = 60%
var qd = UlrikHovsgaardAlgorithm.QualityMeasures.QualityDimensionRetriever.Retrieve(dcrGraph, log);
Assert.AreEqual(60d, qd.Precision);
}
public void RetrieveFitnessTest()
{
var dcrGraph = new DcrGraph();
var activityA = new Activity("A", "somename1") { Included = true, Pending = true};
var activityB = new Activity("B", "somename2") { Included = false };
var activityC = new Activity("C", "somename3") { Included = false };
dcrGraph.AddActivities(activityA,activityB,activityC);
dcrGraph.AddIncludeExclude(true, activityA.Id, activityB.Id);
dcrGraph.AddIncludeExclude(true, activityB.Id, activityC.Id);
dcrGraph.AddIncludeExclude(false, activityA.Id, activityA.Id);
dcrGraph.AddIncludeExclude(false, activityB.Id, activityB.Id);
var log = new Log();
log.AddTrace(new LogTrace('A', 'B'));
log.AddTrace(new LogTrace('A','B','C'));
log.AddTrace(new LogTrace('A', 'B', 'C')); //duplicate trace should still count
log.AddTrace(new LogTrace('A', 'B', 'C', 'A')); //illegal trace should count down
//expecting fitness = 75%
var qd = UlrikHovsgaardAlgorithm.QualityMeasures.QualityDimensionRetriever.Retrieve(dcrGraph, log);
Assert.AreEqual(75d,qd.Fitness);
}
