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Merge pull request #276 from Leo-Send/pullrequest
Additional Core/Peripheral Classification Methods Reviewed-by: Thomas Bock <[email protected]> Reviewed-by: Christian Hechtl <[email protected]>
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@@ -18,6 +18,7 @@ | |
| ## Copyright 2019 by Christian Hechtl <[email protected]> | ||
| ## Copyright 2021 by Christian Hechtl <[email protected]> | ||
| ## Copyright 2023-2024 by Maximilian Löffler <[email protected]> | ||
| ## Copyright 2024-2025 by Leo Sendelbach <[email protected]> | ||
| ## All Rights Reserved. | ||
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@@ -105,7 +106,141 @@ test_that("Eigenvector classification", { | |
| expect_equal(expected, result, tolerance = 0.0001) | ||
| }) | ||
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| # TODO: Add a test for hierarchy classification | ||
| test_that("Trivial hierarchy classification", { | ||
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| vertices = data.frame( | ||
| name = c("Olaf", "Thomas", "Karl"), | ||
| kind = TYPE.AUTHOR, | ||
| type = TYPE.AUTHOR | ||
| ) | ||
| edges = data.frame( | ||
| from = c("Olaf", "Thomas", "Karl", "Thomas"), | ||
| to = c("Thomas", "Karl", "Olaf", "Thomas"), | ||
| func = c("GLOBAL", "test2.c::test2", "GLOBAL", "test2.c::test2"), | ||
| hash = c("0a1a5c523d835459c42f33e863623138555e2526", | ||
| "418d1dc4929ad1df251d2aeb833dd45757b04a6f", | ||
| "5a5ec9675e98187e1e92561e1888aa6f04faa338", | ||
| "d01921773fae4bed8186b0aa411d6a2f7a6626e6"), | ||
| file = c("GLOBAL", "test2.c", "GLOBAL", "test2.c"), | ||
| base.hash = c("3a0ed78458b3976243db6829f63eba3eead26774", | ||
| "0a1a5c523d835459c42f33e863623138555e2526", | ||
| "1143db502761379c2bfcecc2007fc34282e7ee61", | ||
| "0a1a5c523d835459c42f33e863623138555e2526"), | ||
| base.func = c("test2.c::test2", "test2.c::test2", | ||
| "test3.c::test_function", "test2.c::test2"), | ||
| base.file = c("test2.c", "test2.c", "test3.c", "test2.c"), | ||
| artifact.type = c("CommitInteraction", "CommitInteraction", "CommitInteraction", "CommitInteraction"), | ||
| weight = c(1, 1, 1, 1), | ||
| type = c(TYPE.EDGES.INTRA, TYPE.EDGES.INTRA, TYPE.EDGES.INTRA, TYPE.EDGES.INTRA), | ||
| relation = c("commit.interaction", "commit.interaction", "commit.interaction", "commit.interaction") | ||
| ) | ||
| test.network = igraph::graph_from_data_frame(edges, directed = FALSE, vertices = vertices) | ||
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| ## Act | ||
| result = get.author.class.network.hierarchy(test.network) | ||
| ## Assert | ||
| expected.core = data.frame(author.name = c("Thomas"), | ||
| hierarchy = c(4)) | ||
| expected.peripheral = data.frame(author.name = c("Olaf", "Karl"), | ||
| hierarchy = c(2, 2)) | ||
| expected = list(core = expected.core, peripheral = expected.peripheral) | ||
| row.names(result[["core"]]) = NULL | ||
| row.names(result[["peripheral"]]) = NULL | ||
| expect_equal(expected, result) | ||
| }) | ||
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| test_that("Non-trivial hierarchy classification", { | ||
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| vertices = data.frame( | ||
| name = c("Heinz", "Olaf", "Thomas", "Karl", "Christian", "Maxi", "Leo") | ||
| ) | ||
| edges = data.frame( | ||
| from = c("Heinz", "Heinz", "Olaf", "Karl", "Karl", "Karl", "Christian", "Christian", "Maxi", "Christian", "Leo", "Christian"), | ||
| to = c("Karl", "Olaf", "Karl", "Olaf", "Karl", "Thomas", "Thomas", "Maxi", "Leo", "Leo", "Maxi", "Karl") | ||
| ) | ||
| test.network = igraph::graph_from_data_frame(edges, directed = FALSE, vertices = vertices) | ||
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| ## Act | ||
| result = get.author.class.network.hierarchy(test.network) | ||
| ## Assert | ||
| expected.core = data.frame(author.name = c("Karl", "Christian"), | ||
| hierarchy = c(21, 12)) | ||
| expected.peripheral = data.frame(author.name = c("Olaf", "Maxi", "Leo", "Heinz", "Thomas"), | ||
| hierarchy = c(3, 3, 3, 2, 2)) | ||
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| expected = list(core = expected.core, peripheral = expected.peripheral) | ||
| row.names(result[["core"]]) = NULL | ||
| row.names(result[["peripheral"]]) = NULL | ||
| expect_equal(expected, result) | ||
| }) | ||
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| test_that("Betweenness classification", { | ||
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| ## Act | ||
| result = get.author.class.network.betweenness(network) | ||
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| ## Assert | ||
| expected.core = data.frame(author.name = c("Olaf"), | ||
| betweenness.centrality = c(1)) | ||
| expected.peripheral = data.frame(author.name = c("Björn", "udo", "Thomas", "Fritz [email protected]", | ||
| "georg", "Hans"), | ||
| betweenness.centrality = c(0, 0, 0, 0, 0, 0)) | ||
| expected = list(core = expected.core, peripheral = expected.peripheral) | ||
| row.names(result[["core"]]) = NULL | ||
| row.names(result[["peripheral"]]) = NULL | ||
| expect_equal(expected, result) | ||
| }) | ||
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| test_that("Closeness classification", { | ||
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| ## Act | ||
| result = get.author.class.network.closeness(network) | ||
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| ## Assert | ||
| expected.core = data.frame(author.name = c("Olaf"), | ||
| closeness.centrality = c(0.5)) | ||
| expected.peripheral = data.frame(author.name = c("Björn", "Thomas", "udo", "Fritz [email protected]", | ||
| "georg", "Hans"), | ||
| closeness.centrality = c(0.33333, 0.33333, 0.0, 0.0, 0.0, 0.0)) | ||
| expected = list(core = expected.core, peripheral = expected.peripheral) | ||
| row.names(result[["core"]]) = NULL | ||
| row.names(result[["peripheral"]]) = NULL | ||
| expect_equal(expected, result, tolerance = 0.0001) | ||
| }) | ||
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| test_that("Pagerank classification", { | ||
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| ## Act | ||
| result = get.author.class.network.pagerank(network) | ||
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| ## Assert | ||
| expected.core = data.frame(author.name = c("Olaf"), | ||
| pagerank.centrality = c(0.40541)) | ||
| expected.peripheral = data.frame(author.name = c("Björn", "Thomas", "udo", "Fritz [email protected]", | ||
| "georg", "Hans"), | ||
| pagerank.centrality = c(0.21396, 0.21396, 0.041667, 0.041667, 0.041667, 0.041667)) | ||
| expected = list(core = expected.core, peripheral = expected.peripheral) | ||
| row.names(result[["core"]]) = NULL | ||
| row.names(result[["peripheral"]]) = NULL | ||
| expect_equal(expected, result, tolerance = 0.0001) | ||
| }) | ||
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| test_that("Eccentricity classification", { | ||
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| ## Act | ||
| result = get.author.class.network.eccentricity(network) | ||
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| ## Assert | ||
| expected.core = data.frame(author.name = c("Olaf"), | ||
| eccentricity = c(1)) | ||
| expected.peripheral = data.frame(author.name = c("Björn", "udo", "Thomas", "Fritz [email protected]", | ||
| "georg", "Hans"), | ||
| eccentricity = c(0, 0, 0, 0, 0, 0)) | ||
| expected = list(core = expected.core, peripheral = expected.peripheral) | ||
| row.names(result[["core"]]) = NULL | ||
| row.names(result[["peripheral"]]) = NULL | ||
| expect_equal(expected, result) | ||
| }) | ||
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| test_that("Commit-count classification using 'result.limit'" , { | ||
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