1 files changed, 37 insertions, 32 deletions

diff --git a/Metrics/Metrics-Calculation/metrics_plot/Measurements/Measurement1/src/BoxPlot.ipynb b/Metrics/Metrics-Calculation/metrics_plot/Measurements/Measurement1/src/BoxPlot.ipynb
index 6cce3f9d..5db66bb3 100644
--- a/Metrics/Metrics-Calculation/metrics_plot/Measurements/Measurement1/src/BoxPlot.ipynb
+++ b/Metrics/Metrics-Calculation/metrics_plot/Measurements/Measurement1/src/BoxPlot.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 173,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -20,7 +20,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 174,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -39,11 +39,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 175,
    "metadata": {},
    "outputs": [],
    "source": [
-    "domain = 'ecore'\n",
+    "domain = 'github'\n",
     "mpc_guide = getModels('../input/{}/MPC/'.format(domain), 100)\n",
     "na_guide = getModels('../input/{}/NodeActivity/'.format(domain), 100)\n",
     "od_guide = getModels('../input/{}/OutDegree/'.format(domain), 100)\n",
@@ -57,19 +57,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 176,
    "metadata": {},
    "outputs": [],
    "source": [
     "if domain == 'yakindumm':\n",
     "    type_map = {'Entry': 0.04257802080554814, 'Choice': 0.1267671379034409, 'State': 0.1596092291277674, 'Transition': 0.6138636969858629, 'Statechart': 0.010136036276340358, 'Region': 0.04467858095492131, 'Exit': 0.0018338223526273673, 'FinalState': 0.0005334755934915977}\n",
     "elif domain == 'ecore':\n",
-    "    type_map = {'EAttribute': 0.23539778449144008, 'EClass': 0.30996978851963747, 'EReference': 0.33081570996978854, 'EPackage': 0.012789526686807653, 'EAnnotation': 0.002517623363544813, 'EEnumLiteral': 0.07275931520644502, 'EEnum': 0.013645518630412891, 'EDataType': 0.004028197381671702, 'EParameter': 0.005941591137965764, 'EGenericType': 0.002014098690835851, 'EOperation': 0.009415911379657605, 'ETypeParameter': 0.0007049345417925478}"
+    "    type_map = {'EAttribute': 0.23539778449144008, 'EClass': 0.30996978851963747, 'EReference': 0.33081570996978854, 'EPackage': 0.012789526686807653, 'EAnnotation': 0.002517623363544813, 'EEnumLiteral': 0.07275931520644502, 'EEnum': 0.013645518630412891, 'EDataType': 0.004028197381671702, 'EParameter': 0.005941591137965764, 'EGenericType': 0.002014098690835851, 'EOperation': 0.009415911379657605, 'ETypeParameter': 0.0007049345417925478}\n",
+    "elif domain == 'github':\n",
+    "    type_map = {'Project': 0.012636538873420432, 'Commit': 0.5525808524309276, 'User': 0.05847076461769116, 'Issue': 0.12743628185907047, 'PullRequest': 0.07560505461554937, 'IssueEvent': 0.17327050760334123}"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 177,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -92,7 +94,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 178,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -103,7 +105,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 179,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -121,11 +123,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 84,
+   "execution_count": 180,
    "metadata": {},
    "outputs": [],
    "source": [
-    "labels = ['Hum', 'Comb+V', 'Comb-V', 'MPC', 'NA', 'OD',  'NTD', 'VIO']\n",
     "output_path = '../output/{}/'.format(domain)\n",
     "mkdir(output_path)"
    ]
@@ -139,31 +140,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 87,
+   "execution_count": 181,
    "metadata": {},
    "outputs": [],
    "source": [
-    "def drawBoxDiagram(title, target, types, distance_func, bold_index):\n",
+    "def drawBoxDiagram(title, target, types, distance_func, label_position):\n",
     "    distances = []\n",
     "    for distributions in types:\n",
     "        distances.append([distance_func(target, distribution) for distribution in distributions])\n",
     "    fig, ax1 = plt.subplots()\n",
     "    fig.set_size_inches(5, 2)\n",
     "    result = plt.boxplot(distances)\n",
+    "    ax1.xaxis.set_ticks_position(label_position)     \n",
     "    texts = ax1.set_xticklabels(labels, rotation=90, fontsize=12)\n",
-    "    texts[bold_index].set_fontweight('bold')\n",
-    "    \n",
     "    plt.savefig('{}/{}.png'.format(output_path, title), dpi=500, bbox_inches=\"tight\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 88,
+   "execution_count": 182,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 360x144 with 1 Axes>"
       ]
@@ -177,19 +177,20 @@
    "source": [
     "# draw mpc\n",
     "mpc_types = []\n",
+    "labels = ['Hum', 'Comb+V', 'Comb-V', 'MPC', 'NA', 'OD',  'NTD', 'VIO']\n",
     "for models in model_types:\n",
     "        mpc_types.append([model.mpc for model in models])\n",
-    "drawBoxDiagram('MPC', rep.mpc, mpc_types, calculate_ks, 3)"
+    "drawBoxDiagram('MPC', rep.mpc, mpc_types, calculate_ks, 'top')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 89,
+   "execution_count": 183,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 360x144 with 1 Axes>"
       ]
@@ -203,19 +204,20 @@
    "source": [
     "# draw node activity\n",
     "na_types = []\n",
+    "labels = []\n",
     "for models in model_types:\n",
     "        na_types.append([model.na for model in models])\n",
-    "drawBoxDiagram('Node_Activity', rep.na, na_types, calculate_ks, 4)"
+    "drawBoxDiagram('Node_Activity', rep.na, na_types, calculate_ks, 'top')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 90,
+   "execution_count": 184,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 360x144 with 1 Axes>"
       ]
@@ -229,14 +231,15 @@
    "source": [
     "# draw out degree\n",
     "out_d_types = []\n",
+    "labels = []\n",
     "for models in model_types:\n",
     "        out_d_types.append([model.out_d for model in models])\n",
-    "drawBoxDiagram('Out_Degree', rep.out_d, out_d_types, calculate_ks, 5)"
+    "drawBoxDiagram('Out_Degree', rep.out_d, out_d_types, calculate_ks, 'top')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 91,
+   "execution_count": 185,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -253,19 +256,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 92,
+   "execution_count": 186,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "['EAnnotation', 'EAttribute', 'EClass', 'EDataType', 'EEnum', 'EEnumLiteral', 'EGenericType', 'EOperation', 'EPackage', 'EParameter', 'EReference', 'ETypeParameter']\n"
+      "['Commit', 'Issue', 'IssueEvent', 'Project', 'PullRequest', 'User']\n"
      ]
     },
     {
      "data": {
-      "image/png": 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C9xcmu7x9rwd+U7e24/ph1/iHtX/ScRTENAk4Efg+sAvoTTie1wMPAHtjbre/mv01juWe6Kr3u8A7h69eCN2nOBPer4G5JfbNBe6PMZafRcnt1QXbXxOdt7fHFMdA4QdA3r79gIF6tZ3FauNHgUvNbL6Zzcp/xR2ImS0ws0uBR4F/A+4ADnX3hQnEMsnMTjKz6wlXeQ8A/xhzGHui+1X7iLbvjTGW/aP2niEkvlyMbed7CaGbVsxvgYNjjOXlwI3ufnf+Rnf/OXAjMCemOLYDryix76+Bx+vVcBYT3kTgGGAT8GDe64G4AjCzlWb2e0K3EeA4dz/U3T/t7rV45NVzieXNZnY5IemuAn5K6FYucvcr4owF6CXcnynmbKAnrkDc/WXAccBuQtfxz2a2BpgMxFo4cfeiid7d98Qcywso/XvyAPDCmOLoAr5uZqOSvZkdAnyNUISri8xVac3sEeAC4ErCp/eIUidWHWK4AfgGcI27D8bRZok4HgCmEu4RXeHuP00qliieQwlXubcRupLD1bd3AW8E3uDuv00grudFMXwAWES4LXKxu6+Noe3dhHO16G7gRHefVO84oliGCPczHymy+xBgmru3xBDHRML5cRShmz18nrwOuBV4l7vvrkvbGUx4jwIHx5Xc0szMTgKu9hiHE5RjZn9FuNI8EngxoXtyC3CBu/8hydhg5Cri/cAH3P2wGNq7oNwx7r6q3nFEsZQbr+lxJLxhZnYkIekNj8O7xd1vrWubGUx45xK6tf/uKQrezDa4+wkpiOP77n5c0nEkzcx6KdNddPdFMcUygTBu82ie/eW+FVjv7rHdWzSzU8odk8BtkFhlMeE9TBjbtJuCm5vuHnvhYpiZ7XD39qTaz4vjSXefklDbrwC+DnQCPwdOdfcHE4plWYldhwBnESr9+8cQx1TgJuClwA082317K2EI01HuvrPecUSxfAC4z923xNHeGHFcWO4Ydz+/Lm1nMOG9pdQ+d/9RnLHkS1HCe8rd47r5XNj2TYSR+12EK5r93f0dScRSyMxeTBiHdhqhiHGhu/fF0O5aQrI70d0H8rY/H7gK+KO7f7jecURtDgFfdvez42hvjDjWE6rmVuIQd/e6jDDI3FzaJJNaPjMr/ASanL/N3ct+itXJhxJqF8J4rhnuPmhmP6b0cIzYRFPazgU+AlwHvMbrPF+zwDuA1+cnOwB3HzCzM4DbgVgSXoocBXyLMBc91umQmUt4Y10O1+syuFQoRb4u9YlVd2bWQhhwnDOzNwF3JFDYmThctXb3v5jZ5JjbHxFVZj9KmMP6Q2CBu9+bQChTKV4VhTCPNO7bD4dFXdui3P2bMcTwIULhaJOZbSWMeOhy97qvnJbFLu3XCzZNB95CqFa+N4GQgGS7tGb2SuAawhizPsIk7EHg7939FzHGsQv4bN6mc4GL8o+J60PJzP5MmGt8EWHe9T7cve7jAs3sl8A57n5zkX2Lgc+7+9/UO46ovSHKF3LirNK+CHgPIfnNJ9zrvALYUK9iTuYSXjFmdiyw1N3LVqHqGEO/u7cl1PYWwpzIL7q7R08t+RjwXnc/IsY4vkH5X6h/iCmWB8vE4tHg5HrHcSrwGUKX+mp3H4qep/hOwjzbT7p74Yd4vWIZIlSIS11x4u6HxxFLITPrICS+fyLc+51Wl3YaJOHtR5inOTXBGK519+MTavtJoC2/Cxt1cfvjrNhWMr3P3R+KI5Y0MbNzgJWEOdfbCUNTdhEKJxeN8a21jiMVRYtC0SOr3g6cQri/99N6Tc/M4j28wk/l/YGTgYcTCGdEUskucj1wAnB13rbjCQ8ziFPhtCXj2aus4b/H1mVKC3f/QjTn+o08Ow7vdi/y3MBmYmYLCLNfTiRU99cDH67n9MzMJTzCs8zyPU14LFEi3dm8YsHBhOebxVIsiEr7w8mkBbjSzO4kJP6ZhEcj/W+94yjwK8J9xCsIVbg/xdx+arn7U4QJ+kn6Efv+/sTOzFYSuq/thGmRx7n7bbG03Qhd2qQkWSyoZMoSxDdtaZiZdRI+fE4kPBrpm8D33P2ZMb9R6q6CooW7e90vgpKci56ZhGdmP6H8DfE3xxQOkJ5iQRpF91WPBk4lzCpYFD2GSBKStrm0SchSl/byvL8bcDHJD9g8lHAT2CGcLdGz+lfGHUjS63wUMYcwXOgNhMeZ9ycUhzyrsAL7AkL1+ETC79Td+3xHg8nMFV6hNEzlMrMrgW+7+9V5294BvMfdl8YYx3mEx8vfy+hHZnmcV735C+QQnq22nrDGRdNVZtMsGhB+BmGc5IGEe6+r3P17iQYWAyW8595ufrHgeYTq6D7FAnc/McaYtgNvdvf74mqzRByDhErtesJz8fYRx2BfKS4a/nE68K+ERLeVkOi+k2hgMVLCe+7tpq5YYGb3A4e7+9NxtVkijgdJwWBfKc7M+ghPanFCdfTbhEV9Rrj7hgRCi01mEp6ZFT677BrCYMWR+avNevVgZm8F3gt8mTCeaYS6kzIsLVXaJGUp4ZVbsyKRq4c0FAssLAx+GWFQa0EYjV11k8pVcAWOu3fEE00yMpPw0ihFxYLE1/kQyQIlvCqkqFigdT5EKpDFZRrT5HHCEpFJ+zzwiWjgs4iUoCu8KqSlWJDWdT5E0qahKzIxGF4U/OSC7XE/FeR9MbYlklm6wquCigUi2aJ7eNWZAHzd3f/i7nvzX3EGYWatZrbKzP5gZoPRn6ssrPAuIhElvOqkpVjwOcKTYv8ZeFX05yJGry8h0vTUpa1CWooF0ZShV7n743nbpgG/cPdD4opDJO1UtKhOWooFpa4wk77yFEkVJbwqpGVRcMJE8GvNbBXwEGGl+09F20Ukont4VUhRseBfgFsID0W9k7D8Xw/heWciElHCq06ixQIze5OZfdbdd7v7+e7+cnff393nEJYEfE0ccYhkhYoWVUi6WGBm3wfWuvs+yzFGi5OfkfDykSKpoiu86iRdLHg1cEOJfbcQnr4sIhElvOoMFwsWm9nc6KrqGuIrFkwhTG8rppWwroSIRJTwqpN0seDXhLm8xRwT7ReRiBLeOKSoWPAl4BIze2e0Dixmtp+ZvRP4b+CLMcUhkgkahzc+nwTWltjXC6wA6l4scPcuM5sOXAFMih5IOg0YBC5w9+56xyCSJarSjkP0lJRZxR4SYGYTgIfc/eAY45lCWPD6xYQpbre7+5NxtS+SFUp442BmTwEHuvszRfY9D9jm7ioYiKSM7uGNj4oFIhmke3jjM1wsaAGucfehqGjwDkLF9uxEoxORopTwxkHFApFs0j28KqhYIJItSngi0jRUtBCRpqGEJyJNQwlPRJqGEp6INA0lPBFpGv8P9+THtUQNIO0AAAAASUVORK5CYII=\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 360x144 with 1 Axes>"
       ]
@@ -278,6 +281,7 @@
    ],
    "source": [
     "# draw node type\n",
+    "labels = []\n",
     "types = sorted(rep.nodeTypeStat.keys())\n",
     "rep_type_dist = [float(rep.nodeTypeStat[key]) for key in types]\n",
     "print(types)\n",
@@ -289,17 +293,17 @@
     "    node_type_types.append(type_dists)\n",
     "\n",
     "#since we already know the pdf, we can compute the ks distance manually\n",
-    "drawBoxDiagram('Node_Type', rep_type_dist, node_type_types, manual_ks, 6)"
+    "drawBoxDiagram('Node_Type', rep_type_dist, node_type_types, manual_ks, 'top')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 93,
+   "execution_count": 187,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 360x144 with 1 Axes>"
       ]
@@ -313,9 +317,10 @@
    "source": [
     "# draw violations\n",
     "violation_types = []\n",
+    "labels = ['Hum', 'Comb+V', 'Comb-V', 'MPC', 'NA', 'OD',  'NTD', 'VIO']\n",
     "for models in model_types:\n",
     "        violation_types.append([model.violations for model in models])\n",
-    "drawBoxDiagram('Violations', None, violation_types, lambda a, b:b, 7)"
+    "drawBoxDiagram('Violations', None, violation_types, lambda a, b:b, 'bottom')"
    ]
   },
   {