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We revisit the K Nearest Neighbors (KNN) problem in large binary datasets which is of major importance in several applied areas. The goal is to find the K nearest items in a dataset to a query point where both the query and the items lie in the Hamming cube. The problem is addressed in its online setting, that is, data items are inserted sequentially into the dataset. To accommodate efficient similarity...
Test case prioritization aims at ordering test cases to increase the rate of fault detection, which quantifies how fast faults are detected during the testing phase. A common approach for test case prioritization is to use the information of previously executed test cases, such as coverage information, resulting in an iterative (greedy) prioritization algorithm. Current research in this area validates...
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