Journal of Software Engineering Research and Development

Table 9 Performance of the genetic and exhaustive frameworks

From: A genetic algorithm based framework for software effort prediction

DS	LS	Exh	C	LS	Gen	C	LS	Gen	C	LS	Gen
1	7X2X6	0.79	1	6X3X8	0.72	4	1X1X11	0.79	7	1X1X11	0.79
2	1X1X14	0.77	1	1X2X8	0.71	4	7X3X14	0.77	7	7X3X14	0.77
3	2X1X1	0.85	1	2X4X6	0.84	4	2X5X1	0.85	7	2X5X1	0.85
4	2X2X1	0.83	1	6X5X3	0.80	4	6X5X3	0.80	7	6X5X3	0.80
5	7X1X2	0.70	1	7X1X3	0.69	4	6X5X1	0.69	7	6X5X1	0.69
6	6X5X1	0.70	1	6X3X1	0.71	4	6X4X1	0.71	7	6X4X1	0.71
7	6X4X6	0.78	1	7X5X14	0.75	4	6X4X6	0.76	7	6X4X6	0.76
8	6X4X6	0.75	1	2X3X1	0.74	4	1X5X3	0.71	7	1X5X3	0.71
1	7X2X6	0.79	2	1X1X11	0.79	5	1X5X11	0.79	8	6X2X4	0.77
2	1X1X14	0.77	2	7X3X14	0.77	5	7X1X14	0.77	8	7X3X11	0.74
3	2X1X1	0.85	2	2X5X1	0.85	5	7X4X6	0.84	8	1X4X6	0.84
4	2X2X1	0.83	2	6X5X3	0.80	5	2X2X1	0.83	8	6X1X3	0.81
5	7X1X2	0.70	2	6X5X1	0.69	5	1X3X4	0.69	8	7X2X3	0.69
6	6X5X1	0.70	2	6X4X1	0.71	5	6X2X1	0.71	8	6X4X3	0.68
7	6X4X6	0.78	2	6X4X6	0.76	5	6X2X3	0.75	8	1X3X14	0.74
8	6X4X6	0.75	2	1X5X3	0.71	5	2X1X1	0.75	8	2X2X6	0.72
1	7X2X6	0.79	3	7X5X6	0.79	6	6X2X4	0.78	9	1X1X2	0.78
2	1X1X14	0.77	3	6X2X14	0.78	6	7X1X14	0.77	9	1X5X14	0.77
3	2X1X1	0.85	3	2X5X1	0.85	6	2X5X6	0.84	9	2X4X1	0.85
4	2X2X1	0.83	3	7X1X6	0.82	6	5X2X1	0.79	9	7X5X6	0.81
5	7X1X2	0.70	3	7X1X3	0.70	6	1X1X3	0.70	9	1X1X6	0.69
6	6X5X1	0.70	3	6X1X1	0.71	6	6X5X1	0.71	9	1X2X6	0.68
7	6X4X6	0.78	3	6X2X6	0.78	6	6X2X3	0.76	9	1X3X14	0.76
8	6X4X6	0.75	3	2X5X1	0.74	6	2X4X1	0.75	9	2X5X1	0.75

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