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Table 18 Chi-squared test for outlier detection applied on reuse study

From: Model-based reuse for crosscutting frameworks: assessing reuse and maintenance effort

Study T. G. X2 p Position Outlier
First C 1 5.104305 0.02386654 highest 2489.414342
2 2.930583 0.08691612 highest 1390.72776
M 1 4.091151 0.04310829 highest 1203.920754
2 2.228028 0.1355267 highest 482.570996
Replication C 1 4.552248 0.03287556 highest 1698.301114
2 5.013908 0.02514448 highest 1682.391335
M 1 3.917559 0.04778423 highest 1029.073104
2 2.943313 0.08623369 lowest 179.467569
  1. Chi-squared test is a statistical test used to detect outliers. It was employed to detect eight outliers in the reuse study. These outliers are removed in the last t-test.