prototypes/Wertloser Code.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Identifikation wertloser Codeteile im Projekt \"Spring Petlinic\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Coverage-Daten"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Coverage-Daten laden"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PACKAGE</th>\n",
       "      <th>CLASS</th>\n",
       "      <th>LINE_MISSED</th>\n",
       "      <th>LINE_COVERED</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>org.springframework.samples.petclinic</td>\n",
       "      <td>PetclinicInitializer</td>\n",
       "      <td>0</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>org.springframework.samples.petclinic.model</td>\n",
       "      <td>NamedEntity</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>org.springframework.samples.petclinic.model</td>\n",
       "      <td>Specialty</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>org.springframework.samples.petclinic.model</td>\n",
       "      <td>PetType</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>org.springframework.samples.petclinic.model</td>\n",
       "      <td>Vets</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       PACKAGE                 CLASS  \\\n",
       "0        org.springframework.samples.petclinic  PetclinicInitializer   \n",
       "1  org.springframework.samples.petclinic.model           NamedEntity   \n",
       "2  org.springframework.samples.petclinic.model             Specialty   \n",
       "3  org.springframework.samples.petclinic.model               PetType   \n",
       "4  org.springframework.samples.petclinic.model                  Vets   \n",
       "\n",
       "   LINE_MISSED  LINE_COVERED  \n",
       "0            0            24  \n",
       "1            1             4  \n",
       "2            0             1  \n",
       "3            0             1  \n",
       "4            4             0  "
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "coverage = pd.read_csv(\"../dataset/jacoco_production_coverage_spring_petclinic.csv\")\n",
    "coverage.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Einfache Metriken rechnen"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PACKAGE</th>\n",
       "      <th>CLASS</th>\n",
       "      <th>LINE_MISSED</th>\n",
       "      <th>LINE_COVERED</th>\n",
       "      <th>lines</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>org.springframework.samples.petclinic</td>\n",
       "      <td>PetclinicInitializer</td>\n",
       "      <td>0</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>org.springframework.samples.petclinic.model</td>\n",
       "      <td>NamedEntity</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>org.springframework.samples.petclinic.model</td>\n",
       "      <td>Specialty</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>org.springframework.samples.petclinic.model</td>\n",
       "      <td>PetType</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>org.springframework.samples.petclinic.model</td>\n",
       "      <td>Vets</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       PACKAGE                 CLASS  \\\n",
       "0        org.springframework.samples.petclinic  PetclinicInitializer   \n",
       "1  org.springframework.samples.petclinic.model           NamedEntity   \n",
       "2  org.springframework.samples.petclinic.model             Specialty   \n",
       "3  org.springframework.samples.petclinic.model               PetType   \n",
       "4  org.springframework.samples.petclinic.model                  Vets   \n",
       "\n",
       "   LINE_MISSED  LINE_COVERED  lines  \n",
       "0            0            24     24  \n",
       "1            1             4      5  \n",
       "2            0             1      1  \n",
       "3            0             1      1  \n",
       "4            4             0      4  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "coverage['lines'] = coverage.LINE_MISSED + coverage.LINE_COVERED\n",
    "coverage.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PACKAGE</th>\n",
       "      <th>CLASS</th>\n",
       "      <th>LINE_MISSED</th>\n",
       "      <th>LINE_COVERED</th>\n",
       "      <th>lines</th>\n",
       "      <th>covered</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>org.springframework.samples.petclinic</td>\n",
       "      <td>PetclinicInitializer</td>\n",
       "      <td>0</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>org.springframework.samples.petclinic.model</td>\n",
       "      <td>NamedEntity</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>0.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>org.springframework.samples.petclinic.model</td>\n",
       "      <td>Specialty</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>org.springframework.samples.petclinic.model</td>\n",
       "      <td>PetType</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>org.springframework.samples.petclinic.model</td>\n",
       "      <td>Vets</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       PACKAGE                 CLASS  \\\n",
       "0        org.springframework.samples.petclinic  PetclinicInitializer   \n",
       "1  org.springframework.samples.petclinic.model           NamedEntity   \n",
       "2  org.springframework.samples.petclinic.model             Specialty   \n",
       "3  org.springframework.samples.petclinic.model               PetType   \n",
       "4  org.springframework.samples.petclinic.model                  Vets   \n",
       "\n",
       "   LINE_MISSED  LINE_COVERED  lines  covered  \n",
       "0            0            24     24      1.0  \n",
       "1            1             4      5      0.8  \n",
       "2            0             1      1      1.0  \n",
       "3            0             1      1      1.0  \n",
       "4            4             0      4      0.0  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "coverage['covered'] = coverage.LINE_COVERED / coverage.lines\n",
    "coverage.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1fa2d889940>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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RDXUKhYh4F3Ar8J7M/L8x1TYqg3o+FbgA6EXEbpbWGu9bwW+MDvu83p6Zr2TmV1g659G5Y6pvFIbp+UbgbwAy81HgJJbOd1KyoV7vVZ1ogT7M6QTuA67vX74S+Fz2321YoQb23F9++DOWwnylr63CgJ4zcyEz12fmVGZOsfS+wXsyc66dcmsb5nn99yy9+U1ErGdpCeb5sVbZrGF6/ipwCUBE/CBLgf6NsVY5fvcBP98/2uViYCEzX2js3tt+V/g47wJ/iaV3yG/t3/a7LL2gYelB/yTwHPCvwJvarnkMPf8jsA94sv91X9s1j7rno8b2WMFHuQz5GAfwEeBZYB64qu2ax9Dz+cDnWToC5kngx9uuuYGe7wZeAF5haW/8RuC9wHuPeJxv7/9M5pt+XvtJUUkqxIm25CJJqshAl6RCGOiSVAgDXZIKYaBLUiEMdEkqhIEuSYUw0CWpEP8P2qmxMcxdhpcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1fa2d06d240>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "coverage.covered.hist()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Vorbereitung Join"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PACKAGE</th>\n",
       "      <th>CLASS</th>\n",
       "      <th>LINE_MISSED</th>\n",
       "      <th>LINE_COVERED</th>\n",
       "      <th>lines</th>\n",
       "      <th>covered</th>\n",
       "      <th>fqn</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>org.springframework.samples.petclinic</td>\n",
       "      <td>PetclinicInitializer</td>\n",
       "      <td>0</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>1.0</td>\n",
       "      <td>org.springframework.samples.petclinic.Petclini...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>org.springframework.samples.petclinic.model</td>\n",
       "      <td>NamedEntity</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>0.8</td>\n",
       "      <td>org.springframework.samples.petclinic.model.Na...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>org.springframework.samples.petclinic.model</td>\n",
       "      <td>Specialty</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>org.springframework.samples.petclinic.model.Sp...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>org.springframework.samples.petclinic.model</td>\n",
       "      <td>PetType</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>org.springframework.samples.petclinic.model.Pe...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>org.springframework.samples.petclinic.model</td>\n",
       "      <td>Vets</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>org.springframework.samples.petclinic.model.Vets</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       PACKAGE                 CLASS  \\\n",
       "0        org.springframework.samples.petclinic  PetclinicInitializer   \n",
       "1  org.springframework.samples.petclinic.model           NamedEntity   \n",
       "2  org.springframework.samples.petclinic.model             Specialty   \n",
       "3  org.springframework.samples.petclinic.model               PetType   \n",
       "4  org.springframework.samples.petclinic.model                  Vets   \n",
       "\n",
       "   LINE_MISSED  LINE_COVERED  lines  covered  \\\n",
       "0            0            24     24      1.0   \n",
       "1            1             4      5      0.8   \n",
       "2            0             1      1      1.0   \n",
       "3            0             1      1      1.0   \n",
       "4            4             0      4      0.0   \n",
       "\n",
       "                                                 fqn  \n",
       "0  org.springframework.samples.petclinic.Petclini...  \n",
       "1  org.springframework.samples.petclinic.model.Na...  \n",
       "2  org.springframework.samples.petclinic.model.Sp...  \n",
       "3  org.springframework.samples.petclinic.model.Pe...  \n",
       "4   org.springframework.samples.petclinic.model.Vets  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "coverage['fqn'] = coverage.PACKAGE + \".\" + coverage.CLASS\n",
    "coverage.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>lines</th>\n",
       "      <th>covered</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fqn</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>org.springframework.samples.petclinic.PetclinicInitializer</th>\n",
       "      <td>24</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>org.springframework.samples.petclinic.model.NamedEntity</th>\n",
       "      <td>5</td>\n",
       "      <td>0.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>org.springframework.samples.petclinic.model.Specialty</th>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>org.springframework.samples.petclinic.model.PetType</th>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>org.springframework.samples.petclinic.model.Vets</th>\n",
       "      <td>4</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    lines  covered\n",
       "fqn                                                               \n",
       "org.springframework.samples.petclinic.Petclinic...     24      1.0\n",
       "org.springframework.samples.petclinic.model.Nam...      5      0.8\n",
       "org.springframework.samples.petclinic.model.Spe...      1      1.0\n",
       "org.springframework.samples.petclinic.model.Pet...      1      1.0\n",
       "org.springframework.samples.petclinic.model.Vets        4      0.0"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "coverage_per_class = coverage.set_index('fqn')[['lines', 'covered']]\n",
    "coverage_per_class.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Technische Schulden"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "from pandas.io.json import json_normalize\n",
    "URL = \"https://sonarcloud.io/api/issues/search?languages=java&componentKeys=org.springframework.samples:spring-petclinic:boundedcontexts\"\n",
    "# in C:\\dev\\repos\\software-analytics\\demos\\dataset\n",
    "# python -m \"http.server\" 28080\n",
    "#URL = \"http://localhost:28080/sonarqube_search.json\"\n",
    "issues_json = requests.get(URL).json()\n",
    "issues_json;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>author</th>\n",
       "      <th>component</th>\n",
       "      <th>creationDate</th>\n",
       "      <th>debt</th>\n",
       "      <th>effort</th>\n",
       "      <th>flows</th>\n",
       "      <th>hash</th>\n",
       "      <th>key</th>\n",
       "      <th>line</th>\n",
       "      <th>message</th>\n",
       "      <th>...</th>\n",
       "      <th>rule</th>\n",
       "      <th>severity</th>\n",
       "      <th>status</th>\n",
       "      <th>tags</th>\n",
       "      <th>textRange.endLine</th>\n",
       "      <th>textRange.endOffset</th>\n",
       "      <th>textRange.startLine</th>\n",
       "      <th>textRange.startOffset</th>\n",
       "      <th>type</th>\n",
       "      <th>updateDate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>feststelltaste@googlemail.com</td>\n",
       "      <td>org.springframework.samples:spring-petclinic:b...</td>\n",
       "      <td>2018-03-07T07:45:21+0100</td>\n",
       "      <td>2min</td>\n",
       "      <td>2min</td>\n",
       "      <td>[]</td>\n",
       "      <td>48c1dff4bc3cd8f9b9b8c76f49484c2a</td>\n",
       "      <td>AWLJtvMj-pl6AHs2EogL</td>\n",
       "      <td>5</td>\n",
       "      <td>Rename this field \"INSTANCE\" to match the regu...</td>\n",
       "      <td>...</td>\n",
       "      <td>squid:S3008</td>\n",
       "      <td>MINOR</td>\n",
       "      <td>OPEN</td>\n",
       "      <td>[convention]</td>\n",
       "      <td>5</td>\n",
       "      <td>42</td>\n",
       "      <td>5</td>\n",
       "      <td>34</td>\n",
       "      <td>CODE_SMELL</td>\n",
       "      <td>2018-04-15T16:28:40+0200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>feststelltaste@googlemail.com</td>\n",
       "      <td>org.springframework.samples:spring-petclinic:b...</td>\n",
       "      <td>2018-03-07T07:45:21+0100</td>\n",
       "      <td>20min</td>\n",
       "      <td>20min</td>\n",
       "      <td>[]</td>\n",
       "      <td>48c1dff4bc3cd8f9b9b8c76f49484c2a</td>\n",
       "      <td>AWLJtvMj-pl6AHs2EogM</td>\n",
       "      <td>5</td>\n",
       "      <td>Make this \"public static INSTANCE\" field final</td>\n",
       "      <td>...</td>\n",
       "      <td>squid:S1444</td>\n",
       "      <td>MINOR</td>\n",
       "      <td>OPEN</td>\n",
       "      <td>[cert, cwe]</td>\n",
       "      <td>5</td>\n",
       "      <td>42</td>\n",
       "      <td>5</td>\n",
       "      <td>34</td>\n",
       "      <td>VULNERABILITY</td>\n",
       "      <td>2018-04-15T16:28:40+0200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>feststelltaste@googlemail.com</td>\n",
       "      <td>org.springframework.samples:spring-petclinic:b...</td>\n",
       "      <td>2018-03-07T07:45:21+0100</td>\n",
       "      <td>10min</td>\n",
       "      <td>10min</td>\n",
       "      <td>[]</td>\n",
       "      <td>48c1dff4bc3cd8f9b9b8c76f49484c2a</td>\n",
       "      <td>AWLJtvMj-pl6AHs2EogN</td>\n",
       "      <td>5</td>\n",
       "      <td>Make INSTANCE a static final constant or non-p...</td>\n",
       "      <td>...</td>\n",
       "      <td>squid:ClassVariableVisibilityCheck</td>\n",
       "      <td>MINOR</td>\n",
       "      <td>OPEN</td>\n",
       "      <td>[cwe]</td>\n",
       "      <td>5</td>\n",
       "      <td>42</td>\n",
       "      <td>5</td>\n",
       "      <td>34</td>\n",
       "      <td>VULNERABILITY</td>\n",
       "      <td>2018-04-15T16:28:40+0200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>feststelltaste@googlemail.com</td>\n",
       "      <td>org.springframework.samples:spring-petclinic:b...</td>\n",
       "      <td>2017-11-22T17:54:34+0100</td>\n",
       "      <td>5min</td>\n",
       "      <td>5min</td>\n",
       "      <td>[{'locations': [{'component': 'org.springframe...</td>\n",
       "      <td>815a0864eec54976893cbe650dfba48d</td>\n",
       "      <td>AWLJtvMo-pl6AHs2EogP</td>\n",
       "      <td>11</td>\n",
       "      <td>Remove this unused method parameter \"id\".</td>\n",
       "      <td>...</td>\n",
       "      <td>squid:S1172</td>\n",
       "      <td>MAJOR</td>\n",
       "      <td>OPEN</td>\n",
       "      <td>[cert, misra, unused]</td>\n",
       "      <td>11</td>\n",
       "      <td>60</td>\n",
       "      <td>11</td>\n",
       "      <td>58</td>\n",
       "      <td>CODE_SMELL</td>\n",
       "      <td>2018-04-15T16:28:40+0200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>feststelltaste@googlemail.com</td>\n",
       "      <td>org.springframework.samples:spring-petclinic:b...</td>\n",
       "      <td>2017-11-22T17:54:34+0100</td>\n",
       "      <td>15min</td>\n",
       "      <td>15min</td>\n",
       "      <td>[]</td>\n",
       "      <td>eb375774c265dedeefeb29283ceea9bc</td>\n",
       "      <td>AWLJtvMo-pl6AHs2EogR</td>\n",
       "      <td>15</td>\n",
       "      <td>Either re-interrupt this method or rethrow the...</td>\n",
       "      <td>...</td>\n",
       "      <td>squid:S2142</td>\n",
       "      <td>MAJOR</td>\n",
       "      <td>OPEN</td>\n",
       "      <td>[cwe, multi-threading]</td>\n",
       "      <td>15</td>\n",
       "      <td>39</td>\n",
       "      <td>15</td>\n",
       "      <td>17</td>\n",
       "      <td>BUG</td>\n",
       "      <td>2018-04-15T16:28:40+0200</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                          author  \\\n",
       "0  feststelltaste@googlemail.com   \n",
       "1  feststelltaste@googlemail.com   \n",
       "2  feststelltaste@googlemail.com   \n",
       "3  feststelltaste@googlemail.com   \n",
       "4  feststelltaste@googlemail.com   \n",
       "\n",
       "                                           component  \\\n",
       "0  org.springframework.samples:spring-petclinic:b...   \n",
       "1  org.springframework.samples:spring-petclinic:b...   \n",
       "2  org.springframework.samples:spring-petclinic:b...   \n",
       "3  org.springframework.samples:spring-petclinic:b...   \n",
       "4  org.springframework.samples:spring-petclinic:b...   \n",
       "\n",
       "               creationDate   debt effort  \\\n",
       "0  2018-03-07T07:45:21+0100   2min   2min   \n",
       "1  2018-03-07T07:45:21+0100  20min  20min   \n",
       "2  2018-03-07T07:45:21+0100  10min  10min   \n",
       "3  2017-11-22T17:54:34+0100   5min   5min   \n",
       "4  2017-11-22T17:54:34+0100  15min  15min   \n",
       "\n",
       "                                               flows  \\\n",
       "0                                                 []   \n",
       "1                                                 []   \n",
       "2                                                 []   \n",
       "3  [{'locations': [{'component': 'org.springframe...   \n",
       "4                                                 []   \n",
       "\n",
       "                               hash                   key  line  \\\n",
       "0  48c1dff4bc3cd8f9b9b8c76f49484c2a  AWLJtvMj-pl6AHs2EogL     5   \n",
       "1  48c1dff4bc3cd8f9b9b8c76f49484c2a  AWLJtvMj-pl6AHs2EogM     5   \n",
       "2  48c1dff4bc3cd8f9b9b8c76f49484c2a  AWLJtvMj-pl6AHs2EogN     5   \n",
       "3  815a0864eec54976893cbe650dfba48d  AWLJtvMo-pl6AHs2EogP    11   \n",
       "4  eb375774c265dedeefeb29283ceea9bc  AWLJtvMo-pl6AHs2EogR    15   \n",
       "\n",
       "                                             message  \\\n",
       "0  Rename this field \"INSTANCE\" to match the regu...   \n",
       "1     Make this \"public static INSTANCE\" field final   \n",
       "2  Make INSTANCE a static final constant or non-p...   \n",
       "3          Remove this unused method parameter \"id\".   \n",
       "4  Either re-interrupt this method or rethrow the...   \n",
       "\n",
       "             ...                                           rule severity  \\\n",
       "0            ...                                    squid:S3008    MINOR   \n",
       "1            ...                                    squid:S1444    MINOR   \n",
       "2            ...             squid:ClassVariableVisibilityCheck    MINOR   \n",
       "3            ...                                    squid:S1172    MAJOR   \n",
       "4            ...                                    squid:S2142    MAJOR   \n",
       "\n",
       "  status                    tags textRange.endLine textRange.endOffset  \\\n",
       "0   OPEN            [convention]                 5                  42   \n",
       "1   OPEN             [cert, cwe]                 5                  42   \n",
       "2   OPEN                   [cwe]                 5                  42   \n",
       "3   OPEN   [cert, misra, unused]                11                  60   \n",
       "4   OPEN  [cwe, multi-threading]                15                  39   \n",
       "\n",
       "   textRange.startLine  textRange.startOffset           type  \\\n",
       "0                    5                     34     CODE_SMELL   \n",
       "1                    5                     34  VULNERABILITY   \n",
       "2                    5                     34  VULNERABILITY   \n",
       "3                   11                     58     CODE_SMELL   \n",
       "4                   15                     17            BUG   \n",
       "\n",
       "                 updateDate  \n",
       "0  2018-04-15T16:28:40+0200  \n",
       "1  2018-04-15T16:28:40+0200  \n",
       "2  2018-04-15T16:28:40+0200  \n",
       "3  2018-04-15T16:28:40+0200  \n",
       "4  2018-04-15T16:28:40+0200  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "issues = json_normalize(issues_json['issues'])\n",
    "issues.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>component</th>\n",
       "      <th>debt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>org.springframework.samples:spring-petclinic:b...</td>\n",
       "      <td>2min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>org.springframework.samples:spring-petclinic:b...</td>\n",
       "      <td>20min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>org.springframework.samples:spring-petclinic:b...</td>\n",
       "      <td>10min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>org.springframework.samples:spring-petclinic:b...</td>\n",
       "      <td>5min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>org.springframework.samples:spring-petclinic:b...</td>\n",
       "      <td>15min</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           component   debt\n",
       "0  org.springframework.samples:spring-petclinic:b...   2min\n",
       "1  org.springframework.samples:spring-petclinic:b...  20min\n",
       "2  org.springframework.samples:spring-petclinic:b...  10min\n",
       "3  org.springframework.samples:spring-petclinic:b...   5min\n",
       "4  org.springframework.samples:spring-petclinic:b...  15min"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "issues = issues[['component', 'debt']]\n",
    "issues.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>component</th>\n",
       "      <th>debt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>org.springframework.samples:spring-petclinic:b...</td>\n",
       "      <td>00:02:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>org.springframework.samples:spring-petclinic:b...</td>\n",
       "      <td>00:20:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>org.springframework.samples:spring-petclinic:b...</td>\n",
       "      <td>00:10:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>org.springframework.samples:spring-petclinic:b...</td>\n",
       "      <td>00:05:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>org.springframework.samples:spring-petclinic:b...</td>\n",
       "      <td>00:15:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           component     debt\n",
       "0  org.springframework.samples:spring-petclinic:b... 00:02:00\n",
       "1  org.springframework.samples:spring-petclinic:b... 00:20:00\n",
       "2  org.springframework.samples:spring-petclinic:b... 00:10:00\n",
       "3  org.springframework.samples:spring-petclinic:b... 00:05:00\n",
       "4  org.springframework.samples:spring-petclinic:b... 00:15:00"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "issues['debt'] = issues.debt.apply(pd.Timedelta)\n",
    "issues.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'org.springframework.samples.petclinic.util.BrokenSingleton'"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "issues['fqn'] = issues.component.str.extract(\"/java/(.*).java\", expand=True)\n",
    "issues['fqn'] = issues.fqn.str.replace(\"/\", \".\")\n",
    "issues.fqn[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>component</th>\n",
       "      <th>debt</th>\n",
       "      <th>fqn</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>org.springframework.samples:spring-petclinic:b...</td>\n",
       "      <td>00:02:00</td>\n",
       "      <td>org.springframework.samples.petclinic.util.Bro...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>org.springframework.samples:spring-petclinic:b...</td>\n",
       "      <td>00:20:00</td>\n",
       "      <td>org.springframework.samples.petclinic.util.Bro...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>org.springframework.samples:spring-petclinic:b...</td>\n",
       "      <td>00:10:00</td>\n",
       "      <td>org.springframework.samples.petclinic.util.Bro...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>org.springframework.samples:spring-petclinic:b...</td>\n",
       "      <td>00:05:00</td>\n",
       "      <td>org.springframework.samples.petclinic.util.Dat...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>org.springframework.samples:spring-petclinic:b...</td>\n",
       "      <td>00:15:00</td>\n",
       "      <td>org.springframework.samples.petclinic.util.Dat...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           component     debt  \\\n",
       "0  org.springframework.samples:spring-petclinic:b... 00:02:00   \n",
       "1  org.springframework.samples:spring-petclinic:b... 00:20:00   \n",
       "2  org.springframework.samples:spring-petclinic:b... 00:10:00   \n",
       "3  org.springframework.samples:spring-petclinic:b... 00:05:00   \n",
       "4  org.springframework.samples:spring-petclinic:b... 00:15:00   \n",
       "\n",
       "                                                 fqn  \n",
       "0  org.springframework.samples.petclinic.util.Bro...  \n",
       "1  org.springframework.samples.petclinic.util.Bro...  \n",
       "2  org.springframework.samples.petclinic.util.Bro...  \n",
       "3  org.springframework.samples.petclinic.util.Dat...  \n",
       "4  org.springframework.samples.petclinic.util.Dat...  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "issues.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>debt</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fqn</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>org.springframework.samples.petclinic.PetclinicInitializer</th>\n",
       "      <td>00:04:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>org.springframework.samples.petclinic.model.Pet</th>\n",
       "      <td>00:02:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>org.springframework.samples.petclinic.model.Vets</th>\n",
       "      <td>00:10:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>org.springframework.samples.petclinic.repository.OwnerRepository</th>\n",
       "      <td>00:15:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>org.springframework.samples.petclinic.repository.PetRepository</th>\n",
       "      <td>00:15:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                       debt\n",
       "fqn                                                        \n",
       "org.springframework.samples.petclinic.Petclinic... 00:04:00\n",
       "org.springframework.samples.petclinic.model.Pet    00:02:00\n",
       "org.springframework.samples.petclinic.model.Vets   00:10:00\n",
       "org.springframework.samples.petclinic.repositor... 00:15:00\n",
       "org.springframework.samples.petclinic.repositor... 00:15:00"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "debt_per_class = issues.groupby('fqn')[['debt']].sum()\n",
    "debt_per_class.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>lines</th>\n",
       "      <th>covered</th>\n",
       "      <th>debt</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fqn</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>org.springframework.samples.petclinic.PetclinicInitializer</th>\n",
       "      <td>24</td>\n",
       "      <td>1.0</td>\n",
       "      <td>00:04:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>org.springframework.samples.petclinic.model.NamedEntity</th>\n",
       "      <td>5</td>\n",
       "      <td>0.8</td>\n",
       "      <td>NaT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>org.springframework.samples.petclinic.model.Specialty</th>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>org.springframework.samples.petclinic.model.PetType</th>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>org.springframework.samples.petclinic.model.Vets</th>\n",
       "      <td>4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>00:10:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    lines  covered     debt\n",
       "fqn                                                                        \n",
       "org.springframework.samples.petclinic.Petclinic...     24      1.0 00:04:00\n",
       "org.springframework.samples.petclinic.model.Nam...      5      0.8      NaT\n",
       "org.springframework.samples.petclinic.model.Spe...      1      1.0      NaT\n",
       "org.springframework.samples.petclinic.model.Pet...      1      1.0      NaT\n",
       "org.springframework.samples.petclinic.model.Vets        4      0.0 00:10:00"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "analysis = coverage_per_class.join(debt_per_class)\n",
    "analysis.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>lines</th>\n",
       "      <th>covered</th>\n",
       "      <th>debt</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fqn</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>org.springframework.samples.petclinic.PetclinicInitializer</th>\n",
       "      <td>24</td>\n",
       "      <td>1.0</td>\n",
       "      <td>00:04:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>org.springframework.samples.petclinic.model.NamedEntity</th>\n",
       "      <td>5</td>\n",
       "      <td>0.8</td>\n",
       "      <td>00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>org.springframework.samples.petclinic.model.Specialty</th>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>org.springframework.samples.petclinic.model.PetType</th>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>org.springframework.samples.petclinic.model.Vets</th>\n",
       "      <td>4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>00:10:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    lines  covered     debt\n",
       "fqn                                                                        \n",
       "org.springframework.samples.petclinic.Petclinic...     24      1.0 00:04:00\n",
       "org.springframework.samples.petclinic.model.Nam...      5      0.8 00:00:00\n",
       "org.springframework.samples.petclinic.model.Spe...      1      1.0 00:00:00\n",
       "org.springframework.samples.petclinic.model.Pet...      1      1.0 00:00:00\n",
       "org.springframework.samples.petclinic.model.Vets        4      0.0 00:10:00"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "analysis = analysis.fillna(0)\n",
    "analysis.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sichten bilden"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Fachliche Sicht über Klassennamen"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Owner', 'Pet', 'Visit', 'Vet', 'Specialty', 'Clinic']"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "domains = \"Owner,Pet,Visit,Vet,Specialty,Clinic\".split(\",\")\n",
    "domains"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>lines</th>\n",
       "      <th>covered</th>\n",
       "      <th>debt</th>\n",
       "      <th>domain</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fqn</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>org.springframework.samples.petclinic.PetclinicInitializer</th>\n",
       "      <td>24</td>\n",
       "      <td>1.0</td>\n",
       "      <td>00:04:00</td>\n",
       "      <td>Pet</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>org.springframework.samples.petclinic.model.NamedEntity</th>\n",
       "      <td>5</td>\n",
       "      <td>0.8</td>\n",
       "      <td>00:00:00</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>org.springframework.samples.petclinic.model.Specialty</th>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>00:00:00</td>\n",
       "      <td>Specialty</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>org.springframework.samples.petclinic.model.PetType</th>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>00:00:00</td>\n",
       "      <td>Pet</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>org.springframework.samples.petclinic.model.Vets</th>\n",
       "      <td>4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>00:10:00</td>\n",
       "      <td>Vet</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    lines  covered     debt  \\\n",
       "fqn                                                                           \n",
       "org.springframework.samples.petclinic.Petclinic...     24      1.0 00:04:00   \n",
       "org.springframework.samples.petclinic.model.Nam...      5      0.8 00:00:00   \n",
       "org.springframework.samples.petclinic.model.Spe...      1      1.0 00:00:00   \n",
       "org.springframework.samples.petclinic.model.Pet...      1      1.0 00:00:00   \n",
       "org.springframework.samples.petclinic.model.Vets        4      0.0 00:10:00   \n",
       "\n",
       "                                                       domain  \n",
       "fqn                                                            \n",
       "org.springframework.samples.petclinic.Petclinic...        Pet  \n",
       "org.springframework.samples.petclinic.model.Nam...      Other  \n",
       "org.springframework.samples.petclinic.model.Spe...  Specialty  \n",
       "org.springframework.samples.petclinic.model.Pet...        Pet  \n",
       "org.springframework.samples.petclinic.model.Vets          Vet  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "analysis['domain'] = \"Other\"\n",
    "\n",
    "for domain in domains:\n",
    "    analysis.loc[analysis.index.str.contains(domain), 'domain'] = domain\n",
    "\n",
    "analysis.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Technische Funktion über Package-Namen"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>lines</th>\n",
       "      <th>covered</th>\n",
       "      <th>debt</th>\n",
       "      <th>domain</th>\n",
       "      <th>tech</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fqn</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>org.springframework.samples.petclinic.PetclinicInitializer</th>\n",
       "      <td>24</td>\n",
       "      <td>1.0</td>\n",
       "      <td>00:04:00</td>\n",
       "      <td>Pet</td>\n",
       "      <td>petclinic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>org.springframework.samples.petclinic.model.NamedEntity</th>\n",
       "      <td>5</td>\n",
       "      <td>0.8</td>\n",
       "      <td>00:00:00</td>\n",
       "      <td>Other</td>\n",
       "      <td>model</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>org.springframework.samples.petclinic.model.Specialty</th>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>00:00:00</td>\n",
       "      <td>Specialty</td>\n",
       "      <td>model</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>org.springframework.samples.petclinic.model.PetType</th>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>00:00:00</td>\n",
       "      <td>Pet</td>\n",
       "      <td>model</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>org.springframework.samples.petclinic.model.Vets</th>\n",
       "      <td>4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>00:10:00</td>\n",
       "      <td>Vet</td>\n",
       "      <td>model</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    lines  covered     debt  \\\n",
       "fqn                                                                           \n",
       "org.springframework.samples.petclinic.Petclinic...     24      1.0 00:04:00   \n",
       "org.springframework.samples.petclinic.model.Nam...      5      0.8 00:00:00   \n",
       "org.springframework.samples.petclinic.model.Spe...      1      1.0 00:00:00   \n",
       "org.springframework.samples.petclinic.model.Pet...      1      1.0 00:00:00   \n",
       "org.springframework.samples.petclinic.model.Vets        4      0.0 00:10:00   \n",
       "\n",
       "                                                       domain       tech  \n",
       "fqn                                                                       \n",
       "org.springframework.samples.petclinic.Petclinic...        Pet  petclinic  \n",
       "org.springframework.samples.petclinic.model.Nam...      Other      model  \n",
       "org.springframework.samples.petclinic.model.Spe...  Specialty      model  \n",
       "org.springframework.samples.petclinic.model.Pet...        Pet      model  \n",
       "org.springframework.samples.petclinic.model.Vets          Vet      model  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "analysis['tech'] = analysis.index.str.split(\".\").str[-2]\n",
    "analysis.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tech\n",
       "jdbc         0.000000\n",
       "jpa          0.691558\n",
       "model        0.739048\n",
       "petclinic    1.000000\n",
       "service      0.888889\n",
       "util         0.135417\n",
       "web          0.639809\n",
       "Name: covered, dtype: float64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "analysis.groupby('tech').covered.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>lines</th>\n",
       "      <th>covered</th>\n",
       "      <th>debt</th>\n",
       "      <th>domain</th>\n",
       "      <th>tech</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fqn</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>org.springframework.samples.petclinic.PetclinicInitializer</th>\n",
       "      <td>24</td>\n",
       "      <td>1.0</td>\n",
       "      <td>00:04:00</td>\n",
       "      <td>Pet</td>\n",
       "      <td>petclinic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>org.springframework.samples.petclinic.model.NamedEntity</th>\n",
       "      <td>5</td>\n",
       "      <td>0.8</td>\n",
       "      <td>00:00:00</td>\n",
       "      <td>Other</td>\n",
       "      <td>model</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>org.springframework.samples.petclinic.model.Specialty</th>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>00:00:00</td>\n",
       "      <td>Specialty</td>\n",
       "      <td>model</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>org.springframework.samples.petclinic.model.PetType</th>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>00:00:00</td>\n",
       "      <td>Pet</td>\n",
       "      <td>model</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>org.springframework.samples.petclinic.model.Vets</th>\n",
       "      <td>4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>00:10:00</td>\n",
       "      <td>Vet</td>\n",
       "      <td>model</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    lines  covered     debt  \\\n",
       "fqn                                                                           \n",
       "org.springframework.samples.petclinic.Petclinic...     24      1.0 00:04:00   \n",
       "org.springframework.samples.petclinic.model.Nam...      5      0.8 00:00:00   \n",
       "org.springframework.samples.petclinic.model.Spe...      1      1.0 00:00:00   \n",
       "org.springframework.samples.petclinic.model.Pet...      1      1.0 00:00:00   \n",
       "org.springframework.samples.petclinic.model.Vets        4      0.0 00:10:00   \n",
       "\n",
       "                                                       domain       tech  \n",
       "fqn                                                                       \n",
       "org.springframework.samples.petclinic.Petclinic...        Pet  petclinic  \n",
       "org.springframework.samples.petclinic.model.Nam...      Other      model  \n",
       "org.springframework.samples.petclinic.model.Spe...  Specialty      model  \n",
       "org.springframework.samples.petclinic.model.Pet...        Pet      model  \n",
       "org.springframework.samples.petclinic.model.Vets          Vet      model  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "analysis.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Utilization (%)</th>\n",
       "      <th>Technical Debt (min)</th>\n",
       "      <th>Size</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>domain</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Clinic</th>\n",
       "      <td>0.888889</td>\n",
       "      <td>40.0</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other</th>\n",
       "      <td>0.480208</td>\n",
       "      <td>117.0</td>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Owner</th>\n",
       "      <td>0.549495</td>\n",
       "      <td>65.0</td>\n",
       "      <td>130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pet</th>\n",
       "      <td>0.594156</td>\n",
       "      <td>30.0</td>\n",
       "      <td>153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Specialty</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Utilization (%)  Technical Debt (min)  Size\n",
       "domain                                                \n",
       "Clinic            0.888889                  40.0    18\n",
       "Other             0.480208                 117.0    57\n",
       "Owner             0.549495                  65.0   130\n",
       "Pet               0.594156                  30.0   153\n",
       "Specialty         1.000000                   0.0     1"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "management_compatible_data = analysis.groupby('domain').agg({\"covered\": \"mean\", \"debt\" : \"sum\", \"lines\" : \"sum\"})\n",
    "management_compatible_data.debt = management_compatible_data.debt.dt.seconds / 60\n",
    "management_compatible_data.columns = ['Utilization (%)', 'Technical Debt (min)', 'Size']\n",
    "management_compatible_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1fa2e00f9e8>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1fa2d995160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "from ausi import portfolio\n",
    "\n",
    "portfolio.plot_diagram(management_compatible_data, \"Technical Debt (min)\", \"Utilization (%)\", \"Size\", \"Domain\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1fa2e02e0b8>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1fa2e01ecf8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "management_compatible_data = analysis.groupby('tech').agg({\"covered\": \"mean\", \"debt\" : \"sum\", \"lines\" : \"sum\"})\n",
    "management_compatible_data.debt = management_compatible_data.debt.dt.seconds / 60\n",
    "management_compatible_data.columns = ['Utilization (%)', 'Technical Debt (min)', 'Size']\n",
    "portfolio.plot_diagram(management_compatible_data, \"Technical Debt (min)\", \"Utilization (%)\", \"Size\", \"Architecture\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}