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According to Bent and Van Hentenryck [25], this selection should be performed using a consensus function to select the solution that is most similar to all other solutions.
Select the solution that makes the most sense for your application.
The tester can select the solution that better fits his/her needs.
The user needs to select the solution that better covers his/her requirements and needs.
We select the solution which requires the least modifications to the i2b2 evaluation framework and illustrate it with our system.
The designer can subsequently select the solution with the best compromise between the objective functions for the specific application and constraints.
Similar(47)
Select the solutions with the two lowest costs.
Upon finding a cost lower than current minimum cost: i. Select the solutions with the two lowest costs.
This guideline can be used by the tester to select the solutions and is a good choice, since the goal is to satisfy mutation test.
Then a decision-making tool (M-TOPSIS) selects the solution providing the best compromise.
The optimal results were found by exhaustive exploration and are obtained by selecting the solution with the lowest cost (Energy × Cycles) in exploration space, for each application.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com