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

   1 public class Estimator {
   2     int stages;
   3     int time;
   4     double variance;
   5     double[] probtable;
   6
   7     boolean partial;
   8
   9     public Estimator(int stages) {
  10         this.stages = stages;
  11         this.time = 0;
  12         this.variance = 0;
  13
  14         this.probtable = new double[31];
  15         int i = 0;
  16         this.probtable[i++] = 0.5000;
  17         this.probtable[i++] = 0.5398;
  18         this.probtable[i++] = 0.5793;
  19         this.probtable[i++] = 0.6179;
  20         this.probtable[i++] = 0.6554;
  21         this.probtable[i++] = 0.6915;
  22         this.probtable[i++] = 0.7257;
  23         this.probtable[i++] = 0.7580;
  24         this.probtable[i++] = 0.7881;
  25         this.probtable[i++] = 0.8159;
  26         this.probtable[i++] = 0.8413;
  27         this.probtable[i++] = 0.8643;
  28         this.probtable[i++] = 0.8849;
  29         this.probtable[i++] = 0.9032;
  30         this.probtable[i++] = 0.9192;
  31         this.probtable[i++] = 0.9332;
  32         this.probtable[i++] = 0.9452;
  33         this.probtable[i++] = 0.9554;
  34         this.probtable[i++] = 0.9641;
  35         this.probtable[i++] = 0.9713;
  36         this.probtable[i++] = 0.9772;
  37         this.probtable[i++] = 0.9821;
  38         this.probtable[i++] = 0.9861;
  39         this.probtable[i++] = 0.9893;
  40         this.probtable[i++] = 0.9918;
  41         this.probtable[i++] = 0.9938;
  42         this.probtable[i++] = 0.9953;
  43         this.probtable[i++] = 0.9965;
  44         this.probtable[i++] = 0.9974;
  45         this.probtable[i++] = 0.9981;
  46         this.probtable[i++] = 0.9987;
  47
  48         this.partial = false;
  49     }
  50
  51     public boolean estimate(int time, double variance2, boolean fake) {
  52         if(!fake) {
  53             this.time += time;
  54             this.variance += variance2;
  55         } else {
  56             this.partial = true;
  57         }
  58         --this.stages;
  59         if(this.stages == 0) {
  60             //System.out.print("variance2: " + (int)(this.variance*100) + "(/100); ");
  61             this.variance = Math.sqrt(this.variance);
  62             //System.out.println("variance: " + (int)(this.variance*100) + "(/100)");
  63             return true;
  64         }
  65         return false;
  66     }
  67
  68     public double getProbability(int x, int y) {
  69         int l = x;
  70         int r = y;
  71         if(x > y) {
  72             l = y;
  73             r = x;
  74         }
  75
  76         double prob = prob(r) - prob(l);
  77         return prob;
  78     }
  79
  80     private double prob(int s) {
  81         int tmp = (int)((s - this.time) * 10 / this.variance);
  82         //System.out.println(tmp);
  83         int abs = (int)Math.abs(tmp);
  84         double prob = 0;
  85         if(abs > this.probtable.length - 1) {
  86             prob = 1;
  87         } else {
  88             prob = this.probtable[abs];
  89         }
  90         if(tmp < 0) {
  91             return 1.0 - prob;
  92         } else {
  93             return prob;
  94         }
  95     }
  96
  97     public int getTime() {
  98         return this.time;
  99     }
 100
 101     public double getVariance() {
 102         return this.variance;
 103     }
 104
 105     public boolean isPartial() {
 106         return this.partial;
 107     }
 108 }