Survey of Scientific Programming Techniques for the Management of Data-Intensive Engineering Environments

Table 4

Mapping between methods/models/techniques and domains including aggregated percentages.

	General application to engineering	Engineering	Nonengineering	Aggregated (%)
Artificial intelligence	[62, 63] (1.79%)	[64–73] (8.93%)	[74–85] (10.71%)	21.43%
Computational architecture	[86–88] (2.68%)	[89–95] (6.25%)	[90–95] (5.36%)	14.29%
Computation model	[96–98] (3.57%)	[99–101] (2.68%)	[102, 103] (1.79%)	8.04%
Computational science	[104] (0.89%)	[85, 105, 106] (2.68%)	[107] (0.89%)	4.46%
Graph theory	[37, 108–117] (9.82%)		[118, 119] (1.79%)	11.61%
Engineering methods	[96, 120–124] (5.36%)			5.36%
Machine learning	[125, 126] (1.79%)	[127] (0.89%)	[128–130] (2.68%)	5.36%
Mathematics and applied mathematics	[62, 88, 131–136] (7.14%)	[70, 137–141] (5.36%)	[141–144] (3.57%)	16.07%
Programming techniques	[74, 114, 122, 145–147] (5.36%)	[69, 148] (1.79%)	[149] (0.89%)	8.04%
General software application	[89, 115, 150–153] (5.36%)			5.36%
Aggregated (%)	43.75%	28.57%	27.68%	100/100%