Module: ChurnVsComplexity::Normal::Serializer::SummaryHash

Defined in:
lib/churn_vs_complexity/normal/serializer/summary_hash.rb

Class Method Summary collapse

Class Method Details

.serialize(result) ⇒ Object 



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# File 'lib/churn_vs_complexity/normal/serializer/summary_hash.rb', line 8

def serialize(result)
  values_by_file = result[:values_by_file]
  churn_values = values_by_file.map { |_, values| values[0].to_f }
  complexity_values = values_by_file.map { |_, values| values[1].to_f }

  mean_churn = churn_values.sum / churn_values.size
  median_churn = churn_values.sort[churn_values.size / 2]
  mean_complexity = complexity_values.sum / complexity_values.size
  median_complexity = complexity_values.sort[complexity_values.size / 2]

  max_churn = churn_values.max
  min_churn = churn_values.min
  max_complexity = complexity_values.max
  min_complexity = complexity_values.min

  epsilon = 0.0001
  gamma_score = values_by_file.map do |_, values|
    # unnormalised harmonic mean of churn and complexity,
    # since the summary needs to be comparable over time
    churn = values[0].to_f + epsilon
    complexity = values[1].to_f + epsilon

    (2 * churn * complexity) / (churn + complexity)
  end

  mean_gamma_score = gamma_score.sum / gamma_score.size
  median_gamma_score = gamma_score.sort[gamma_score.size / 2]

  end_date = result[:git_period].end_date

  {
    mean_churn:,
    median_churn:,
    max_churn:,
    min_churn:,
    mean_complexity:,
    median_complexity:,
    max_complexity:,
    min_complexity:,
    mean_gamma_score:,
    median_gamma_score:,
    end_date:,
  }
end