81 lines
2.0 KiB
R
81 lines
2.0 KiB
R
library(ggplot2)
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library(ggalluvial)
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# Usage: Rscript combined_comparion.r exp_abspath1 exp_abspath2 ...
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args <- commandArgs(trailingOnly = TRUE)
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argc <- length(args)
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if (argc != 2) {
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print("Expecting two input files")
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stop()
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}
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for (experiment in args) {
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datafile <- paste(experiment, "/faults.csv", sep = "")
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if (!file.exists(datafile)) {
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print(paste("Input file", datafile, "is missing"))
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stop()
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}
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}
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resulttype_labels <- c(
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OK_MARKER = "OK",
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FAIL_MARKER = "FAIL",
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DETECTED_MARKER = "DETECTED",
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TIMEOUT = "TIMEOUT",
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TRAP = "TRAP",
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ACCESS_OUTERSPACE = "OUTERSPC",
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WRITE_TEXTSEGMENT = "WRITETXT"
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)
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# Read data
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datafile1 <- paste(args[1], "/faults.csv", sep = "")
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data1 <- readr::read_csv(datafile1)
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data1$fault_address <- strtoi(data1$fault_address)
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data1$resulttype <- resulttype_labels[data1$resulttype]
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# tibble::glimpse(data1)
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datafile2 <- paste(args[2], "/faults.csv", sep = "")
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data2 <- readr::read_csv(datafile2)
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data2$fault_address <- strtoi(data2$fault_address)
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data2$resulttype <- resulttype_labels[data2$resulttype]
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# tibble::glimpse(data2)
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# https://corybrunson.github.io/ggalluvial/
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joined <- merge(
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data1[, c("fault_address", "resulttype", "faults")],
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data2[, c("fault_address", "resulttype", "faults")],
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by = "fault_address",
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suffixes = c("_bench1", "_bench2")
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)
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streams <- aggregate(
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faults_bench2 ~ resulttype_bench1 + resulttype_bench2,
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data = joined,
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sum
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)
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names(streams) <- c("bench1", "bench2", "faults")
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plot <- ggplot(
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data = streams,
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aes(axis1 = bench1, axis2 = bench2, y = faults)
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) +
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scale_x_discrete(
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# TODO: Name the benchmarks
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# limits = c(args[1], args[2])
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limits = c("Bench A", "Bench B")
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) +
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labs(x = "Benchmark", y = "Faults") +
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geom_alluvium(aes(fill = bench1)) +
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geom_stratum() +
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geom_text(stat = "stratum", aes(label = after_stat(stratum))) +
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theme_minimal() +
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theme(legend.position = "none")
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# TODO: Name the file according to the benchmarks
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ggsave(
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paste(args[2], "/../sankey.svg", sep = ""),
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plot = plot,
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)
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