Journal of Software Engineering Research and Development

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
	C	2	2.930583	0.08691612	highest	1390.72776
	M	1	4.091151	0.04310829	highest	1203.920754
	M	2	2.228028	0.1355267	highest	482.570996
Replication	C	1	4.552248	0.03287556	highest	1698.301114
	C	2	5.013908	0.02514448	highest	1682.391335
	M	1	3.917559	0.04778423	highest	1029.073104
	M	2	2.943313	0.08623369	lowest	179.467569

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.

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