public computingRandom(featureModel fmo, Compare co, FilterTestCase ft, int[] faults)
{
PairsCount = fmo.Pairs.Count;
TestNumber = fmo.testcases.Count();
RetastAbleNumber = ft.RetestableTestCases.Count;
PairsNeedCover = co.ChangedPairs;
Faults = faults;
List <double> cc = new List <double>();
cc = GetCoverageCost(fmo.Matrix);
UnCoverage = cc[0].ToString();
Cost = cc[1].ToString();
//FaultsDetectionEfficiency
double fde = GetFDE(Variable);
FDE = Math.Round(fde, 2);
}
private void Button1_Click(object sender, EventArgs e)
{
OpenFileDialog openFileDialog1 = new OpenFileDialog();
openFileDialog1.Title = "Open Matrix File";
openFileDialog1.DefaultExt = "xlsx";
openFileDialog1.Filter = "Excel files (*.xlsx)|*.xlsx";
if (openFileDialog1.ShowDialog() == DialogResult.OK)
{
label1.Text = openFileDialog1.FileName;
}
OpenExcel a = new OpenExcel(label1.Text);
featureModel fmO = new featureModel(a.OldMatrix);
PaireSet newPairs = new PaireSet(a.newPairs);
Compare c = new Compare(fmO, newPairs, a.ChangedFeatureList);
FilterTestCase f = new FilterTestCase(c);
for (int i = 0; i < c.NewPairs.Count; i++)
{
listBox1.Items.Add(c.NewPairs[i].Feature1 + "," + c.NewPairs[i].Feature2);
}
listBox2.DataSource = f.RetestableTestCases;
listBox3.DataSource = f.ReUsableTestCases;
listBox4.DataSource = f.ObsoleteTestCases;
listBox5.DataSource = GetPairsList(c.Changed);
listBox6.DataSource = GetPairsList(c.SamePairs);
listBox7.DataSource = GetPairsList(c.RemovedPairs);
int[] rowcol = new int[2];
string[] arg = new string[1];
arg[0] = "Regression";
rowcol[0] = f.Matrix.GetLength(0);
rowcol[1] = f.Matrix.GetLength(1);
NSGAII.Matrix = f.Matrix;
NSGAII.RowCol = rowcol;
NSGAII.Main(arg);
}
private void Button1_Click(object sender, EventArgs e)
{
CleareLabel();
OpenFileDialog openFileDialog1 = new OpenFileDialog();
openFileDialog1.Title = "Open Matrix File";
openFileDialog1.DefaultExt = "xlsx";
openFileDialog1.Filter = "Excel files (*.xlsx)|*.xlsx";
if (openFileDialog1.ShowDialog() == DialogResult.OK)
{
FileName = getFileName(openFileDialog1.FileName.Split('\\').Last());
string path = openFileDialog1.FileName;
CurrentFileName = path.Split('\\').Last();
label1.Text = path;
OpenExcel a = new OpenExcel(label1.Text);
fmO = new featureModel(a.OldMatrix);
PaireSet newPairs = new PaireSet(a.newPairs);
compair = new Compare(fmO, newPairs, a.ChangedFeatureList);
filter = new FilterTestCase(compair);
Faults = setFaults(compair.ChangedPairs.Count);
List <string> list1Source = new List <string>();
for (int i = 0; i < compair.NewPairs.Count; i++)
{
list1Source.Add(compair.NewPairs[i].Feature1 + "," + compair.NewPairs[i].Feature2);
}
listBox1.DataSource = list1Source;
listBox2.DataSource = filter.RetestableTestCases;
listBox3.DataSource = filter.ReUsableTestCases;
listBox4.DataSource = filter.ObsoleteTestCases;
listBox5.DataSource = GetPairsList(compair.ChangedPairs);
listBox6.DataSource = GetPairsList(compair.SamePairs);
listBox7.DataSource = GetPairsList(compair.RemovedPairs);
int[] rowcol = new int[2];
string[] arg = new string[1];
arg[0] = "Regression";
rowcol[0] = filter.Matrix.GetLength(0);
rowcol[1] = filter.Matrix.GetLength(1);
NSGAII.Matrix = filter.Matrix;
NSGAII.RowCol = rowcol;
NSGAII.Main(arg);
//JMetalCSharp.Core.SolutionSet s = new JMetalCSharp.Core.SolutionSet();
List <string> fun = new List <string>();
Var = NSGAII.variables;
fun = NSGAII.fun;
//fun.Sort();
listBox8.DataSource = Var;
listBox9.DataSource = SeperateFun(fun);
RC = new computingRandom(fmO, compair, filter, Faults);
double Randomreusability = RC.GetReusability(fmO.Pairs, RC.Variable.ToList());
LRCover.Text = RC.UnCoverage;
LRCost.Text = RC.Cost;
LRFDE.Text = RC.FDE.ToString();
string[] algo = listBox9.Items[0].ToString().Split("\t"[0]);
int[] ourVariable = new int[compair.TestName.Count];
ourVariable = SetOurVariable(filter.removedTest, Var[0]);
computingRandom mr = new computingRandom();
double MyFDE = mr.GetFDE(ourVariable, Faults, compair.ChangedPairs);
double MyReusability = mr.GetReusability(fmO.Pairs, ourVariable.ToList(), compair.ChangedPairs.Count);
//double MyReusability = mr.GetReusability(compair.ChangedPairs, ourVariable.ToList(),compair.ChangedPairs.Count);
Reusability = (MyReusability - Randomreusability) / Randomreusability;
MyFDE = Math.Round(MyFDE, 2);
Reusability = Math.Round(Reusability, 2);
Lcoverage.Text = algo[0];
Lcost.Text = algo[1].Trim();
LFDE.Text = MyFDE.ToString();
//Appearence -------------------------------------------------------------
if (Convert.ToDouble(RC.UnCoverage) > Convert.ToDouble(algo[0]))
{
tick1.Text = "\u2714";
tick1.ForeColor = Color.FromArgb(80, 200, 80);
}
else
{
tick1.Text = "X";
tick1.ForeColor = Color.FromArgb(200, 80, 80);
}
if (Convert.ToDouble(RC.Cost) > Convert.ToDouble(algo[1]))
{
tick2.Text = "\u2714";
tick2.ForeColor = Color.FromArgb(80, 200, 80);
}
else
{
tick2.Text = "X";
tick2.ForeColor = Color.FromArgb(200, 80, 80);
}
if (Convert.ToDouble(RC.FDE) < Convert.ToDouble(MyFDE))
{
tick3.Text = "\u2714";
tick3.ForeColor = Color.FromArgb(80, 200, 80);
}
else
{
tick3.Text = "X";
tick3.ForeColor = Color.FromArgb(200, 80, 80);
}
//Appearence -------------------------------------------------------------
//SaveCompairViaRandom
SaveCompairViaRandom(MyReusability, Randomreusability);
saveResult(path);
int numberoftest = 0;
string variable = Var[0];
for (int i = 0; i < Var[0].Length; i++)
{
if (variable[i].ToString() == "1")
{
numberoftest++;
}
}
//int numberOfSelectedTest = filter.RetestableTestCases.Count;
double newCover = 1 - Convert.ToDouble(algo[0]);
VersionEvaluation Ve = new VersionEvaluation(fmO.Pairs, compair.initialSamePairs, newPairs.PairsList.Count, numberoftest, Faults, compair.ChangedPairs, MyFDE, MyReusability, newCover);
SaveVersionEval SEV = new SaveVersionEval(Ve.M5, Ve.M6, Ve.M7, Ve.M8, CurrentFileName);
SEV.Run();
Dolabel();
}
}
