{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Context\n",
    "John Doe remarked in [#AP1432](http://www.example.com/justalink) that there may be too much code in our application that isn't used at all. Before migrating the application to the new platform, we have to analyze which parts of the system are still in use and which are not."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Idea\n",
    "To understand how much code isn't used, we recorded the executed code in production with the coverage tool [JaCoCo](http://www.jacoco.org/). The measurement took place between 21st Oct 2017 and 27st Oct 2017. The results were exported into a CSV file using the JaCoCo command line tool with the following command:\n",
    "\n",
    "```bash\n",
    "java -jar jacococli.jar report \"C:\\Temp\\jacoco.exec\" --classfiles \\\n",
    "C:\\dev\\repos\\buschmais-spring-petclinic\\target\\classes --csv jacoco.csv\n",
    "```\n",
    "\n",
    "The CSV file contains all lines of code that were passed through during the measurement's time span. We just take the relevant data and add an additional `LINES` column to be able to calculate the ratio between covered and missed lines later on."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\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_COVERED</th>\n",
       "      <th>LINE_MISSED</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>24</td>\n",
       "      <td>0</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 PACKAGE                 CLASS  LINE_COVERED  \\\n",
       "0  org.springframework.samples.petclinic  PetclinicInitializer            24   \n",
       "\n",
       "   LINE_MISSED  LINES  \n",
       "0            0     24  "
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "coverage = pd.read_csv(\"../input/spring-petclinic/jacoco.csv\")\n",
    "coverage = coverage[['PACKAGE', 'CLASS', 'LINE_COVERED' ,'LINE_MISSED']]\n",
    "coverage['LINES'] = coverage.LINE_COVERED + coverage.LINE_MISSED\n",
    "coverage.head(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Analysis\n",
    "It was stated that whole packages wouldn't be needed anymore and that they could be safely removed. Therefore, we sum up the coverage data per class for each package and calculate the coverage ratio for each package."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>LINE_COVERED</th>\n",
       "      <th>LINE_MISSED</th>\n",
       "      <th>LINES</th>\n",
       "      <th>RATIO</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PACKAGE</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.repository.jdbc</th>\n",
       "      <td>0</td>\n",
       "      <td>152</td>\n",
       "      <td>152</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>org.springframework.samples.petclinic.util</th>\n",
       "      <td>13</td>\n",
       "      <td>17</td>\n",
       "      <td>30</td>\n",
       "      <td>0.433333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>org.springframework.samples.petclinic.web</th>\n",
       "      <td>75</td>\n",
       "      <td>40</td>\n",
       "      <td>115</td>\n",
       "      <td>0.652174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>org.springframework.samples.petclinic.model</th>\n",
       "      <td>75</td>\n",
       "      <td>33</td>\n",
       "      <td>108</td>\n",
       "      <td>0.694444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>org.springframework.samples.petclinic.repository.jpa</th>\n",
       "      <td>21</td>\n",
       "      <td>7</td>\n",
       "      <td>28</td>\n",
       "      <td>0.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>org.springframework.samples.petclinic.service</th>\n",
       "      <td>16</td>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "      <td>0.888889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>org.springframework.samples.petclinic</th>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "      <td>24</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    LINE_COVERED  LINE_MISSED  \\\n",
       "PACKAGE                                                                         \n",
       "org.springframework.samples.petclinic.repositor...             0          152   \n",
       "org.springframework.samples.petclinic.util                    13           17   \n",
       "org.springframework.samples.petclinic.web                     75           40   \n",
       "org.springframework.samples.petclinic.model                   75           33   \n",
       "org.springframework.samples.petclinic.repositor...            21            7   \n",
       "org.springframework.samples.petclinic.service                 16            2   \n",
       "org.springframework.samples.petclinic                         24            0   \n",
       "\n",
       "                                                    LINES     RATIO  \n",
       "PACKAGE                                                              \n",
       "org.springframework.samples.petclinic.repositor...    152  0.000000  \n",
       "org.springframework.samples.petclinic.util             30  0.433333  \n",
       "org.springframework.samples.petclinic.web             115  0.652174  \n",
       "org.springframework.samples.petclinic.model           108  0.694444  \n",
       "org.springframework.samples.petclinic.repositor...     28  0.750000  \n",
       "org.springframework.samples.petclinic.service          18  0.888889  \n",
       "org.springframework.samples.petclinic                  24  1.000000  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grouped_by_packages = coverage.groupby(\"PACKAGE\").sum()\n",
    "grouped_by_packages['RATIO'] = grouped_by_packages.LINE_COVERED / grouped_by_packages.LINES\n",
    "grouped_by_packages = grouped_by_packages.sort_values(by='RATIO')\n",
    "grouped_by_packages"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We plot the data for the coverage ratio to get a brief overview of the result."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1874cdde9e8>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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pXaYblUtOdiKtWvEjzyEOgiDYZETEPgiCINiWqE3Evthyl58CZ/lE1dwEvjfM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\n1157jYEDBzJ58mT2228/3n77bfr06UP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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1874cd66e48>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "grouped_by_packages[['RATIO']].plot(kind=\"barh\", figsize=(8,2))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Conclusion \n",
    "The JDBC package `org.springframework.samples.petclinic.repository.jdbc` isn't used at all and can be left out safely when migrating to the new platform."
   ]
  }
 ],
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