diff --git a/tests/testthat/test-significanceMap.R b/tests/testthat/test-significanceMap.R
new file mode 100644
index 0000000..6f04755
--- /dev/null
+++ b/tests/testthat/test-significanceMap.R
@@ -0,0 +1,54 @@
+test_that("significance map for single-task data set has no title", {
+  data <- rbind(
+    data.frame(algo="A1", value=0.8, case="C1"),
+    data.frame(algo="A2", value=0.6, case="C1"),
+    data.frame(algo="A3", value=0.4, case="C1"),
+    data.frame(algo="A1", value=0.2, case="C2"),
+    data.frame(algo="A2", value=0.1, case="C2"),
+    data.frame(algo="A3", value=0.0, case="C2"))
+
+  challenge <- as.challenge(data, taskName="T1", algorithm="algo", case="case", value="value", smallBetter=FALSE)
+
+  ranking <- challenge%>%aggregateThenRank(FUN=median, ties.method="min")
+
+  actualPlot <- significanceMap(ranking)[[1]]
+  expect_is(actualPlot, "ggplot")
+  expect_equal(actualPlot$labels$title, NULL)
+})
+
+test_that("significance map for multi-task data set have titles", {
+  dataTask1 <- cbind(task="T1",
+                     rbind(
+                       data.frame(algo="A1", value=0.8, case="C1"),
+                       data.frame(algo="A2", value=0.6, case="C1"),
+                       data.frame(algo="A3", value=0.4, case="C1"),
+                       data.frame(algo="A1", value=0.2, case="C2"),
+                       data.frame(algo="A2", value=0.1, case="C2"),
+                       data.frame(algo="A3", value=0.0, case="C2")
+                     ))
+  dataTask2 <- cbind(task="T2",
+                     rbind(
+                       data.frame(algo="A1", value=0.2, case="C1"),
+                       data.frame(algo="A2", value=0.3, case="C1"),
+                       data.frame(algo="A3", value=0.4, case="C1"),
+                       data.frame(algo="A1", value=0.7, case="C2"),
+                       data.frame(algo="A2", value=0.8, case="C2"),
+                       data.frame(algo="A3", value=0.9, case="C2")
+                     ))
+
+  data <- rbind(dataTask1, dataTask2)
+
+  challenge <- as.challenge(data, by="task", algorithm="algo", case="case", value="value", smallBetter=FALSE)
+
+  ranking <- challenge%>%aggregateThenRank(FUN=median, ties.method="min")
+
+  actualPlots <- significanceMap(ranking)
+  actualPlotTask1 <- actualPlots[[1]]
+  actualPlotTask2 <- actualPlots[[2]]
+
+  expect_is(actualPlotTask1, "ggplot")
+  expect_equal(actualPlotTask1$labels$title, "T1")
+
+  expect_is(actualPlotTask2, "ggplot")
+  expect_equal(actualPlotTask2$labels$title, "T2")
+})