Robust/src/Benchmarks/PERT/Mcore/Estimator.java

   1 public class Estimator {
   2     flag estimate;
   3     flag prob;
   4
   5     int stages;
   6     int time;
   7     double variance;
   8     double[] probtable;
   9
  10     public Estimator(int stages) {
  11         this.stages = stages;
  12         this.time = 0;
  13         this.variance = 0;
  14
  15         this.probtable = new double[31];
  16         int i = 0;
  17         this.probtable[i++] = 0.5000;
  18         this.probtable[i++] = 0.5398;
  19         this.probtable[i++] = 0.5793;
  20         this.probtable[i++] = 0.6179;
  21         this.probtable[i++] = 0.6554;
  22         this.probtable[i++] = 0.6915;
  23         this.probtable[i++] = 0.7257;
  24         this.probtable[i++] = 0.7580;
  25         this.probtable[i++] = 0.7881;
  26         this.probtable[i++] = 0.8159;
  27         this.probtable[i++] = 0.8413;
  28         this.probtable[i++] = 0.8643;
  29         this.probtable[i++] = 0.8849;
  30         this.probtable[i++] = 0.9032;
  31         this.probtable[i++] = 0.9192;
  32         this.probtable[i++] = 0.9332;
  33         this.probtable[i++] = 0.9452;
  34         this.probtable[i++] = 0.9554;
  35         this.probtable[i++] = 0.9641;
  36         this.probtable[i++] = 0.9713;
  37         this.probtable[i++] = 0.9772;
  38         this.probtable[i++] = 0.9821;
  39         this.probtable[i++] = 0.9861;
  40         this.probtable[i++] = 0.9893;
  41         this.probtable[i++] = 0.9918;
  42         this.probtable[i++] = 0.9938;
  43         this.probtable[i++] = 0.9953;
  44         this.probtable[i++] = 0.9965;
  45         this.probtable[i++] = 0.9974;
  46         this.probtable[i++] = 0.9981;
  47         this.probtable[i++] = 0.9987;
  48     }
  49
  50     public boolean estimate(int time, double variance2) {
  51         System.printI(0xff30);
  52         this.time += time;
  53         this.variance += variance2;
  54         --this.stages;
  55         System.printI(0xff31);
  56         System.printI(this.stages);
  57         System.printI(this.time);
  58         System.printI((int)this.variance);
  59         if(this.stages == 0) {
  60                 System.printI(0xff32);
  61             //System.printString("variance2: " + (int)(this.variance*100) + "(/100); ");
  62             this.variance = Math.sqrt(this.variance);
  63             //System.printString("variance: " + (int)(this.variance*100) + "(/100)\n");
  64             return true;
  65         }
  66         System.printI(0xff33);
  67         return false;
  68     }
  69
  70     public double getProbability(int x, int y) {
  71         int l = x;
  72         int r = y;
  73         if(x > y) {
  74             l = y;
  75             r = x;
  76         }
  77
  78         double prob = prob(r) - prob(l);
  79         return prob;
  80     }
  81
  82     private double prob(int s) {
  83         int tmp = (int)((s - this.time) * 10 / this.variance);
  84         //System.printString(tmp + "\n");
  85         int abs = (int)Math.abs(tmp);
  86         double prob = 0;
  87         if(abs > this.probtable.length - 1) {
  88             prob = 1;
  89         } else {
  90             prob = this.probtable[abs];
  91         }
  92         if(tmp < 0) {
  93             return 1.0 - prob;
  94         } else {
  95             return prob;
  96         }
  97     }
  98
  99     public int getTime() {
 100         return this.time;
 101     }
 102
 103     public double getVariance() {
 104         return this.variance;
 105     }
 106
 107 }