… classifications in which item selection methods based on FI and … testing algorithms using
KLI-based item selection performed better than or as well as those using FI-based item selection…

… testing the requirement to give each examinee a test with a similar content is more difficult to
meet. It can only be realized if the item-selection algorithm … the selection for each examinee. …

… algorithm and instance selection algorithm together to designate the use of a boosting method
with an instance selection algorithm. … We used the Wilcoxon test as the main statistical test …

… , we ran all combinations of similarity functions and selection algorithms for the entire test
suite. We applied the similarity functions Euclidian, Manhattan, Mahalanobis and NCD to …

… If test case tj covers requirement ri then, the algorithm assigns the value of crk at m[ri, tj ].
For example, when REQUIREMENTSRTS is run on program Porig in Figure 1, m is a 4 × 5 …

… selection and dictionary selection algorithms, respectively. Another challenge for test data
… and it further complicates the dictionary and bitmask selection. Consider the two vectors: “…

… In Table 2 we show the maximum achieved accuracies for each dataset and feature selection
algorithm. In each field of the table, accuracies of the two classifiers trained on i = 1, 2, … M …

… The test functions that are used in this section have been designed by several authors for
analyzing and comparing different optimization algorithms. Most of the test functions have …

… or test time, because some of the algorithms (for … the selection of an appropriate classification
algorithm without the need for trial-and-error testing of the vast array of available algorithms…

… 2 describes related works in the selection test case problem. Sections 3 and 4 detail the test
case selection problem. Section 5 details the NSGA-II algorithm used in this paper. Finally, …