private static Map<String, Set<String>> createIndexDetectorsShortNameByBugPatternType() {
   final Map<String, Set<String>> ret = new HashMap<String, Set<String>>();
   for (final DetectorFactory detector :
       FindBugsPreferences.getDetectorFactorCollection().getFactories()) {
     for (final BugPattern bugPattern : detector.getReportedBugPatterns()) {
       Set<String> detectorsShortName = ret.get(bugPattern.getType());
       if (detectorsShortName == null) {
         detectorsShortName = new HashSet<String>();
         ret.put(bugPattern.getType(), detectorsShortName);
       }
       detectorsShortName.add(detector.getShortName());
     }
   }
   return ret;
 }
Ejemplo n.º 2
0
  private static UserPreferences readPreferences(Preferences settings, boolean defaultsToDisabled) {
    boolean atLeastOneEnabled = false;
    UserPreferences prefs = UserPreferences.createDefaultUserPreferences();
    DetectorFactoryCollection dfc = DetectorFactoryCollection.instance();

    for (DetectorFactory df : dfc.getFactories()) {
      boolean enable = false;

      if (!df.isHidden()) {
        for (BugPattern bp : df.getReportedBugPatterns()) {
          BugCategory c = dfc.getBugCategory(bp.getCategory());

          if (c.isHidden()) continue;

          enable |=
              settings.getBoolean(bp.getType(), !defaultsToDisabled && prefs.isDetectorEnabled(df));
        }
      }

      atLeastOneEnabled |= enable;
      prefs.enableDetector(df, enable);
    }

    return atLeastOneEnabled ? prefs : null;
  }
Ejemplo n.º 3
0
  private static UserPreferences forSingleBug(String id) {
    boolean atLeastOneEnabled = false;
    UserPreferences prefs = UserPreferences.createDefaultUserPreferences();

    for (DetectorFactory df : DetectorFactoryCollection.instance().getFactories()) {
      boolean enable = false;

      for (BugPattern bp : df.getReportedBugPatterns()) {
        if (id.equals(bp.getType())) {
          enable = true;
          break;
        }
      }

      atLeastOneEnabled |= enable;
      prefs.enableDetector(df, enable);
    }

    return atLeastOneEnabled ? prefs : null;
  }
Ejemplo n.º 4
0
  public static void main(String args[]) throws Exception {
    Map<String, String> officeLocation = new HashMap<String, String>();

    URL u = PluginLoader.getCoreResource("offices.properties");
    if (u != null) {
      BufferedReader in = new BufferedReader(new InputStreamReader(u.openStream()));
      while (true) {
        String s = in.readLine();
        if (s == null) break;
        if (s.trim().length() == 0) continue;
        int x = s.indexOf(':');

        if (x == -1) continue;
        String office = s.substring(0, x);
        for (String person : s.substring(x + 1).split(" ")) officeLocation.put(person, office);
      }
      in.close();
    }
    I18N i18n = I18N.instance();

    // TODO: this this

    DBCloud cloud = new DBCloud(null, null, new Properties());
    cloud.initialize();
    Connection c = cloud.getConnection();

    Map<Integer, Rank> bugRank = new HashMap<Integer, Rank>();
    Map<Integer, String> bugPattern = new HashMap<Integer, String>();
    Map<String, Integer> detailedBugRank = new HashMap<String, Integer>();

    PreparedStatement ps =
        c.prepareStatement("SELECT id, hash, bugPattern, priority FROM findbugs_issue");
    ResultSet rs = ps.executeQuery();
    while (rs.next()) {
      int col = 1;
      int id = rs.getInt(col++);
      String hash = rs.getString(col++);
      String bugType = rs.getString(col++);
      int priority = rs.getInt(col++);
      BugPattern pattern = i18n.lookupBugPattern(bugType);
      if (pattern != null) {
        int rank = BugRanker.findRank(pattern, priority);
        bugRank.put(id, Rank.getRank(rank));
        detailedBugRank.put(hash, rank);
        bugPattern.put(id, pattern.getType());
      }
    }
    rs.close();
    ps.close();

    ps =
        c.prepareStatement(
            "SELECT who,  jvmLoadTime, findbugsLoadTime, analysisLoadTime, initialSyncTime, timestamp, numIssues"
                + " FROM findbugs_invocation");

    MergeMap.MinMap<String, Timestamp> firstUse = new MergeMap.MinMap<String, Timestamp>();
    MergeMap.MinMap<String, Timestamp> reviewers = new MergeMap.MinMap<String, Timestamp>();
    MergeMap.MinMap<String, Timestamp> uniqueReviews = new MergeMap.MinMap<String, Timestamp>();

    HashSet<String> participants = new HashSet<String>();
    Multiset<String> invocations = new Multiset<String>();
    Multiset<String> participantsPerOffice = new Multiset<String>(new TreeMap<String, Integer>());
    rs = ps.executeQuery();
    int invocationCount = 0;
    long invocationTotal = 0;
    long loadTotal = 0;
    while (rs.next()) {
      int col = 1;
      String who = rs.getString(col++);
      int jvmLoad = rs.getInt(col++);
      int fbLoad = rs.getInt(col++);
      int analysisLoad = rs.getInt(col++);
      int dbSync = rs.getInt(col++);
      Timestamp when = rs.getTimestamp(col++);
      int numIssues = rs.getInt(col++);
      invocationCount++;
      invocationTotal += jvmLoad + fbLoad + analysisLoad + dbSync;
      loadTotal += fbLoad + analysisLoad + dbSync;
      firstUse.put(who, when);
      if (numIssues > 3000) invocations.add(who);
      if (participants.add(who)) {
        String office = officeLocation.get(who);
        if (office == null) office = "unknown";
        participantsPerOffice.add(office);
      }
    }
    rs.close();
    ps.close();

    ps =
        c.prepareStatement(
            "SELECT id, issueId, who, designation, timestamp FROM findbugs_evaluation ORDER BY timestamp DESC");
    rs = ps.executeQuery();

    Multiset<String> issueReviewedBy = new Multiset<String>();

    Multiset<String> allIssues = new Multiset<String>();
    Multiset<String> scariestIssues = new Multiset<String>();
    Multiset<String> scaryIssues = new Multiset<String>();
    Multiset<String> troublingIssues = new Multiset<String>();
    Multiset<Integer> scoreForIssue = new Multiset<Integer>();
    Multiset<Integer> squareScoreForIssue = new Multiset<Integer>();
    Multiset<Integer> reviewsForIssue = new Multiset<Integer>();
    Multiset<Integer> scoredReviews = new Multiset<Integer>();

    HashSet<String> issueReviews = new HashSet<String>();
    HashSet<Integer> missingRank = new HashSet<Integer>();

    while (rs.next()) {
      int col = 1;
      int id = rs.getInt(col++);
      int issueId = rs.getInt(col++);
      String who = rs.getString(col++);
      String designation = rs.getString(col++);
      UserDesignation d = UserDesignation.valueOf(designation);
      designation = getDesignationTitle(i18n, d);
      int score = d.score();

      if (d != UserDesignation.OBSOLETE_CODE) {
        scoreForIssue.add(issueId, score);
        squareScoreForIssue.add(issueId, score * score);
        scoredReviews.add(issueId);
      }

      reviewsForIssue.add(issueId);
      Timestamp when = rs.getTimestamp(col++);
      Rank rank = bugRank.get(issueId);
      reviewers.put(who, when);
      String issueReviewer = who + "-" + issueId;
      if (issueReviews.add(issueReviewer)) {
        uniqueReviews.put(issueReviewer, when);
        allIssues.add(designation);
        issueReviewedBy.add(who);
        if (rank != null)
          switch (rank) {
            case SCARIEST:
              scariestIssues.add(designation);
              break;
            case SCARY:
              scaryIssues.add(designation);
              break;
            case TROUBLING:
              troublingIssues.add(designation);
              break;
          }
        else {
          if (missingRank.add(id)) {
            System.out.println("No rank for " + id);
          }
        }
      }
    }
    rs.close();
    ps.close();

    PrintWriter scariestBugs = new PrintWriter("bugReportsForScariestIssues.csv");
    scariestBugs.println("assignedTo,status,rank,note");
    Multiset<String> bugStatus = new Multiset<String>();
    HashSet<String> bugsSeen = new HashSet<String>();
    Multiset<String> bugScore = new Multiset<String>();
    FractionalMultiset<String> patternScore = new FractionalMultiset<String>();
    Multiset<String> patternCount = new Multiset<String>();
    FractionalMultiset<String> patternVariance = new FractionalMultiset<String>();
    FractionalMultiset<Integer> issueVariance = new FractionalMultiset<Integer>();
    FractionalMultiset<Integer> issueScore = new FractionalMultiset<Integer>();

    Multiset<String> bugsFiled = new Multiset<String>();
    ps =
        c.prepareStatement(
            "SELECT bugReportId,hash,status, whoFiled,assignedTo, postmortem, timestamp FROM findbugs_bugreport ORDER BY timestamp DESC");
    rs = ps.executeQuery();
    while (rs.next()) {
      int col = 1;
      String id = rs.getString(col++);
      String hash = rs.getString(col++);

      String status = rs.getString(col++);

      String who = rs.getString(col++);
      String assignedTo = rs.getString(col++);
      String postmortem = rs.getString(col++);

      Timestamp when = rs.getTimestamp(col++);
      if (!bugsSeen.add(id)) continue;
      Integer rank = detailedBugRank.get(hash);
      if (rank == null) {
        System.out.println("Could not find hash " + hash + " for " + id);
      }
      if (assignedTo != null
          && !"NEW".equals(status)
          && (rank != null && rank <= 4 || postmortem != null)) {
        if (postmortem != null)
          scariestBugs.printf("%s,%s,%s,%d,POSTMORTEM%n", assignedTo, id, status, rank);
        else scariestBugs.printf("%s,%s,%s,%d%n", assignedTo, id, status, rank);
      }

      if (!id.equals(DBCloud.PENDING) && !id.equals(DBCloud.NONE)) {
        bugStatus.add(status);
        bugsFiled.add(who);
        bugScore.add(who, BUG_STATUS.score(status));
      }
    }

    rs.close();
    ps.close();
    c.close();
    scariestBugs.close();
    Multiset<String> overallEvaluation = new Multiset<String>();
    for (Map.Entry<Integer, Integer> e : scoreForIssue.entrySet()) {
      int value = e.getValue();
      Integer issue = e.getKey();
      int num = scoredReviews.getCount(issue);
      if (num == 0) continue;
      double average = value / (double) num;
      int score = (int) Math.round(average);
      double square = squareScoreForIssue.getCount(issue) / (double) num;
      double variance = square - average * average;

      String pattern = bugPattern.get(issue);
      patternCount.add(pattern);
      patternScore.add(pattern, average);
      patternVariance.add(pattern, variance);
      issueVariance.add(issue, variance);
      issueScore.add(issue, average);

      // System.out.printf("%s %2d %2d%n", score, value, num);
      overallEvaluation.add(getDesignationTitle(i18n, getDesignationFromScore(score)));
    }

    patternScore.turnTotalIntoAverage(patternCount);
    patternVariance.turnTotalIntoAverage(patternCount);

    printPatterns(
        "patternScore.csv",
        "average,variance,rank,count,pattern",
        patternScore,
        patternVariance,
        patternCount);

    issueScore.turnTotalIntoAverage(reviewsForIssue);
    issueVariance.turnTotalIntoAverage(reviewsForIssue);

    PrintWriter out1 = new PrintWriter("issueVariance.csv");
    out1.println("variance,average,count,key,pattern");
    for (Map.Entry<Integer, Double> e1 : issueVariance.entriesInDecreasingOrder()) {
      Integer key = e1.getKey();
      int elementCount = reviewsForIssue.getCount(key);
      Double v = e1.getValue();
      if (elementCount >= 3 && v >= 0.5)
        out1.printf(
            "%3.1f,%3.1f,%d,%d,%s%n",
            v, issueScore.getValue(key), elementCount, key, bugPattern.get(key));
    }
    out1.close();

    System.out.printf("%6d invocations%n", invocationCount);
    System.out.printf("%6d invocations time (secs)%n", invocationTotal / invocationCount / 1000);
    System.out.printf("%6d load time (secs)%n", loadTotal / invocationCount / 1000);
    System.out.println();

    printTimeSeries("users.csv", "Unique users", firstUse);
    printTimeSeries("reviewers.csv", "Unique reviewers", reviewers);
    printTimeSeries("reviews.csv", "Total reviews", uniqueReviews);

    PrintWriter out = new PrintWriter("bug_status.csv");
    out.println("Status,Number of bugs");
    printMultiset(out, "Bug status", bugStatus);
    out.close();

    out = new PrintWriter("reviews_by_category.csv");
    out.println("Category,Number of reviews");
    printMultisetContents(out, "", allIssues);
    out.close();

    out = new PrintWriter("overall_review_of_issue.csv");
    out.println("Category,Number of issues");
    printMultisetContents(out, "", overallEvaluation);
    out.close();

    out = new PrintWriter("reviews_by_rank_and_category.csv");
    out.println("Rank,Category,Number of reviews");
    printMultisetContents(out, "Scariest,", scariestIssues);
    printMultisetContents(out, "Scary,", scaryIssues);
    printMultisetContents(out, "Troubling,", troublingIssues);
    out.close();

    out = new PrintWriter("bugs_filed.csv");
    out.println("rank,bugs filed,who");
    AbstractCloud.printLeaderBoard2(
        out, bugsFiled, 200, null, "%s,%s,%s\n", "participants per office");
    out.close();

    out = new PrintWriter("bug_score.csv");
    out.println("rank,bug score,who");
    AbstractCloud.printLeaderBoard2(
        out, bugScore, 200, null, "%s,%s,%s\n", "participants per office");
    out.close();

    out = new PrintWriter("most_participants_by_office.csv");
    out.println("rank,participants,office");
    AbstractCloud.printLeaderBoard2(
        out, participantsPerOffice, 100, null, "%s,%s,%s\n", "participants per office");
    out.close();

    out = new PrintWriter("most_issues_reviewed_individual.csv");
    out.println("rank,reviews,reviewers");
    AbstractCloud.printLeaderBoard2(
        out, issueReviewedBy, 10000, null, "%s,%s,%s\n", "num issues reviewed");
    out.close();
  }