R/evaluate.R

In mccurdyc/mrstudyr: A tool for retrospectively studying mutant reduction techniques for mutation testing

#' FUNCTION: evaluate_original_data_per_dbms
#'
#' Evaluate the data prior to performing a reduction technique.
#' @export

evaluate_original_data_per_dbms <- function(d) {
  d <- d %>% collect_dbms_data()
  original_numerator <- d %>% transform_killed_count()
  original_denominator <- d %>% transform_total_count()
  dt <- dplyr::left_join(original_numerator, original_denominator, by = c("dbms" = "dbms"))
  dt <- dt %>% transform_mutation_score()
  return(dt)
}

#' FUNCTION: evaluate_original_data_per_schema
#'
#' Evaluate the data prior to performing a reduction technique on a per schema basis.
#' @export

evaluate_original_data_per_schema <- function(d) {
  d <- d %>% collect_schema_data()
  original_numerator <- d %>% transform_killed_count()
  original_denominator <- d %>% transform_total_count()
  dt <- join_schema_operator(original_numerator, original_denominator)
  dt <- dt %>% transform_mutation_score()
  return(dt)
}

#' FUNCTION: evaluate_reduction_technique
#'
#' Evaluate the effectiveness of a reduction technique given the original (pre-reduction data) and the reduced data 
#' @export

evaluate_reduction_technique <- function(o, r) {
  reduced_numerator <- r %>% transform_reduced_killed_count()
  reduced_denominator <- r %>% transform_reduced_total_count()
  original_numerator <- o %>% transform_original_killed_count()
  original_denominator <- o %>% transform_original_total_count()
  reduced_time <- r %>% summarize_reduced_time()
  original_time <- o %>% summarize_original_time()
  dt <- join_numerator_denominator_time_data(reduced_numerator, reduced_denominator, original_numerator, original_denominator, reduced_time, original_time)
  dt <- dt %>% transform_cost_reduction() %>%
        transform_reduced_mutation_score() %>%
        transform_original_mutation_score() %>%
        transform_error()
  return(dt)
}

#' FUNCTION: evaluate_reduction_technique_across
#'
#' Evaluate the effectiveness of a reduction technique given the original (pre-reduction data) and the reduced data 
#' @export

evaluate_reduction_technique_across <- function(o, r, s) {
  reduced_numerator <- r %>% transform_reduced_killed_count()
  reduced_denominator <- r %>% transform_reduced_total_count()
  original_numerator <- o %>% transform_original_killed_count()
  original_denominator <- o %>% transform_original_total_count()
  reduced_time <- r %>% summarize_reduced_time()
  original_time <- o %>% summarize_original_time()
  dt <- join_numerator_denominator_time_data(reduced_numerator, reduced_denominator, original_numerator, original_denominator, reduced_time, original_time)
  dt <- dt %>% transform_cost_reduction() %>%
        transform_reduced_mutation_score() %>%
        transform_original_mutation_score() %>%
        transform_add_step(s) %>%
        transform_error()
  return(dt)
}