notebooks/FutureDirectionFLPrediction.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import json\n",
    "import os\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from copy import deepcopy\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.style.use('../style/style-formal.mplstyle')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_FL_dataframe(score_file, N=range(1, 11), score_booster:dict=None):\n",
    "    \"\"\"\n",
    "    score_booster: (bug_name, run_idx) -> boost_multiplier\n",
    "    \"\"\"\n",
    "    def _confidence(scores: list) -> float:\n",
    "        return max(scores)\n",
    "\n",
    "    def _assign_rank(autofl_scores, score_key=\"score\"):\n",
    "        # bug_name -> method -> score\n",
    "        autofl_scores_rank = deepcopy(autofl_scores)\n",
    "        sort_keys = [] # (-score, -aux, index) \n",
    "        for i, method in enumerate(autofl_scores_rank):\n",
    "            score = autofl_scores_rank[method][score_key]\n",
    "            sort_key = [-score]\n",
    "            aux_score = autofl_scores_rank[method][\"aux_score\"]\n",
    "            if isinstance(aux_score, tuple) or isinstance(aux_score, list):\n",
    "                sort_key += list([-s for s in aux_score])\n",
    "            elif isinstance(aux_score, float) or isinstance(aux_score, int):\n",
    "                sort_key.append(-aux_score)\n",
    "            else:\n",
    "                raise Exception(f\"Unsupported aux score type: {aux_score}\")\n",
    "            sort_key += [i, method]\n",
    "            sort_keys.append(tuple(sort_key))\n",
    "        for r, sort_item in enumerate(sorted(sort_keys)):\n",
    "            method = sort_item[-1]\n",
    "            autofl_scores_rank[method][\"rank\"] = r + 1\n",
    "        return autofl_scores_rank\n",
    "\n",
    "    with open(score_file, 'r') as f:\n",
    "        data = json.load(f)\n",
    "\n",
    "    rows = []\n",
    "    predictions = data[\"predictions\"]\n",
    "    for bug_name in predictions:\n",
    "        preds = predictions[bug_name]\n",
    "\n",
    "        score_key = \"score\"\n",
    "        if score_booster is not None:\n",
    "            boosted_scores = []\n",
    "            for method in preds:\n",
    "                boost_multiplier = 1\n",
    "                for matching_run_file in preds[method][\"exprs\"]:\n",
    "                    run_idx = os.path.basename(\n",
    "                        os.path.dirname(os.path.dirname(matching_run_file)))\n",
    "                    if (bug_name, run_idx) in score_booster:\n",
    "                        boost_multiplier *= score_booster[(bug_name, run_idx)]\n",
    "                boosted_score = min(preds[method][\"score\"] * boost_multiplier, 1)\n",
    "                preds[method][f\"score_boosted\"] = boosted_score\n",
    "                boosted_scores.append(boosted_score)\n",
    "            score_key = \"score_boosted\"\n",
    "        \n",
    "        scores = [preds[method][score_key] for method in preds]\n",
    "        assert all([s <= 1. for s in scores])\n",
    "        confidence_value = _confidence(scores)\n",
    "        method_ranks = _assign_rank(preds, score_key=score_key)\n",
    "\n",
    "        buggy_methods = data[\"buggy_methods\"][bug_name]\n",
    "        autofl_ranks = [method_ranks[m][\"rank\"] for m in buggy_methods]\n",
    "        if len(autofl_ranks) == 0:\n",
    "            continue\n",
    "        AP = np.mean([(i+1)/r for i, r in enumerate(sorted(autofl_ranks))])\n",
    "        if AP > 1:\n",
    "            print(autofl_ranks)\n",
    "            print(AP)\n",
    "        rows.append([bug_name, confidence_value] \\\n",
    "                    + [1 in autofl_ranks, 1/min(autofl_ranks), AP])\n",
    "\n",
    "    df = pd.DataFrame(\n",
    "        data=rows,\n",
    "        columns=[\"bug_name\", \"confidence\"] \\\n",
    "            + [\"P@1\", \"RR\", \"AP\"])\n",
    "    return df\n",
    "\n",
    "def spearmanr_corr_with_confidence(df):\n",
    "    from scipy.stats import spearmanr\n",
    "    metrics = [\"P@1\", \"RR\", \"AP\"]\n",
    "    corr_df = pd.DataFrame(data=[\n",
    "        (m, corr.statistic, corr.pvalue)\n",
    "        for m in metrics\n",
    "        if (corr := spearmanr(df[\"confidence\"], df[m]))\n",
    "    ], columns=[\"metric\", \"spearman correlation coefficient\", \"p-value\"])\n",
    "    return corr_df\n",
    "\n",
    "def draw_PR_curve(dfs, showF1=True, savepath=None, figsize=(7,3), title=\"Precision-Recall Curve for Precision@1 Prediction\"):\n",
    "    from sklearn.metrics import precision_recall_curve, auc\n",
    "    if not isinstance(dfs, dict):\n",
    "        dfs = {\"original\": dfs}\n",
    "    plt.figure(figsize=figsize)\n",
    "    markers = ['o', 'v', '^', '<', '>', '8', 's']\n",
    "    for i, name in enumerate(dfs):\n",
    "        df = dfs[name]\n",
    "        precision, recall, thresholds = precision_recall_curve(df[\"P@1\"], df[\"confidence\"])\n",
    "        f1 = 2 * (precision * recall) / (precision + recall)\n",
    "        best_f1_idx = f1.argmax()\n",
    "        auc_value = auc(recall, precision)\n",
    "        plt.plot(recall, precision, label=f\"{name} (AUC={auc_value:.3f})\")\n",
    "        if showF1:\n",
    "            plt.scatter(recall[best_f1_idx], precision[best_f1_idx], zorder=100,\n",
    "                        label=f\"best f1={f1[best_f1_idx]:.2f} (thresh.={thresholds[best_f1_idx]:.2f})\",\n",
    "                        marker=markers[i])\n",
    "\n",
    "    if title is not None:\n",
    "        plt.title(title)\n",
    "    plt.xlabel(\"Recall\")\n",
    "    plt.ylabel(\"Precision\")\n",
    "    plt.legend()\n",
    "    if savepath:\n",
    "        plt.savefig(savepath, bbox_inches=\"tight\")\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Use Test Score and APR Score to Refine FL Scores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>metric</th>\n",
       "      <th>spearman correlation coefficient</th>\n",
       "      <th>p-value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>P@1</td>\n",
       "      <td>0.62</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>RR</td>\n",
       "      <td>0.71</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AP</td>\n",
       "      <td>0.73</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  metric  spearman correlation coefficient  p-value\n",
       "0    P@1                              0.62      0.0\n",
       "1     RR                              0.71      0.0\n",
       "2     AP                              0.73      0.0"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>metric</th>\n",
       "      <th>spearman correlation coefficient</th>\n",
       "      <th>p-value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>P@1</td>\n",
       "      <td>0.60</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>RR</td>\n",
       "      <td>0.70</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AP</td>\n",
       "      <td>0.72</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  metric  spearman correlation coefficient  p-value\n",
       "0    P@1                              0.60      0.0\n",
       "1     RR                              0.70      0.0\n",
       "2     AP                              0.72      0.0"
      ]
     },
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     "output_type": "display_data"
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     "data": {
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\n",
      "text/plain": [
       "<Figure size 1500x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "D4J_df = create_FL_dataframe(\"../combined_fl_results/d4j_gpt3_results_R5_full.json\")\n",
    "\n",
    "patch_df = pd.read_csv(\"./resources/APR_results.csv\")\n",
    "num_partial_fix = patch_df.groupby([\"bug_name\", \"run_idx\"]).is_positive_patch.sum()\n",
    "partial_fix_booster = (num_partial_fix / 5 + 1).to_dict()\n",
    "\n",
    "D4J_df_partial_fix = create_FL_dataframe(\"../combined_fl_results/d4j_gpt3_results_R5_full.json\", \n",
    "                                        score_booster=partial_fix_booster)\n",
    "\n",
    "D4J_partial_fix_corr_df = spearmanr_corr_with_confidence(D4J_df_partial_fix)\n",
    "display(D4J_partial_fix_corr_df.round(2))\n",
    "\n",
    "testgen_df = pd.read_csv(\"./resources/TestGen_results.csv\")\n",
    "test_score = testgen_df.groupby([\"bug_name\", \"run_idx\"]).success.sum()\n",
    "test_score_booster = (test_score / 10 + 1).to_dict()\n",
    "\n",
    "D4J_df_test_score = create_FL_dataframe(\"../combined_fl_results/d4j_gpt3_results_R5_full.json\", \n",
    "                                        score_booster=test_score_booster)\n",
    "\n",
    "D4J_test_score_corr_df = spearmanr_corr_with_confidence(D4J_df_test_score)\n",
    "display(D4J_test_score_corr_df.round(2))\n",
    "\n",
    "draw_PR_curve({\n",
    "    \"Original Confidence\": D4J_df,\n",
    "    \"Test Score-Boosted Confidence\": D4J_df_test_score,\n",
    "    \"APR Score-Boosted Confidence \": D4J_df_partial_fix,\n",
    "}, showF1=False, savepath=\"./figures/FutureDirection_confidence_boosted_all.pdf\", figsize=(5,2), title=None)\n",
    "\n",
    "\n",
    "fl_and_APR_score = (\n",
    "    patch_df.groupby([\"bug_name\", \"run_idx\", \"fl_worked\"]).is_positive_patch.sum()/5\n",
    ").to_frame().reset_index()\n",
    "test_score = (testgen_df.groupby([\"bug_name\", \"run_idx\"])[\"success\"].sum()/10)\n",
    "fl_and_aux_score = fl_and_APR_score.join(test_score, on=[\"bug_name\", \"run_idx\"])\n",
    "fl_and_aux_score.rename(columns={\"is_positive_patch\": \"APR Score\", \"success\": \"Test Score\"},\n",
    "                        inplace=True)\n",
    "melted = fl_and_aux_score.melt(id_vars=[\"bug_name\", \"run_idx\", \"fl_worked\"])\n",
    "melted = melted.sort_values(by=\"variable\", ascending=False)\n",
    "melted.rename(columns={\"fl_worked\": \"FL Accurate\"}, inplace=True)\n",
    "plt.figure(figsize=(5, 2))\n",
    "# plt.title(\"Distribution of Test and APR Scores\")\n",
    "sns.barplot(data=melted, hue=\"FL Accurate\", x=\"value\", y=\"variable\", orient=\"h\", capsize=.1, errwidth=1)\n",
    "plt.rc('axes', axisbelow=True)\n",
    "plt.yticks([0, 1], [\"Test\\nScore\", \"APR\\nScore\"])\n",
    "plt.ylabel(\"\")\n",
    "plt.savefig(\"./figures/FutureDirection_Test_APR_score_distribution.pdf\", bbox_inches=\"tight\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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