The Ochiai distance, also known as the Ochiai coefficient, is a similarity measure that is often used to compare binary data or sets. It is derived from the Ochiai index, which was initially …

using the Ochiai formula: S mutant(m i) = failed(m i) p totalfailed (failed(m i)+passed(m i)) where failed(m i) is the number of test cases that failed on the original program and now the output …

Sep 1, 2024 · The formula for Ochiai is presented as follows: S o c h i a i (e) = f a i l e d (e) (f a i l e d (e) + p a s s e d (e)) × (f a i l e d (e) + f a i l e d (¬ e)) For each element e with a test …

We can calculate from these values similarity coefficients between any pair of objects, specifically the Jaccard coefficient. a a + b + c a a + b + c. and the Russell and Rao coefficient. a a + b + c …

reported comparisons (such as “Ochiai is better than 1. Tarantula” [30], [31], [37], [51], [57]) and refute 30%. A new study that compares the 7 fault localization tech- ... choices for factors …

different purposes: the Ochiai coefficient of the co-occurrence matrix is equal to the cosine of the occurrence matrix, and thus enables us to normalize the co-occurrence matrix as precisely as …

original Tarantula formula, and found that a similarity co-efficient called Ochiai, often used in the molecular biology domain,wasthemosteffective [1]. Ourearlierexperiments also showed that …

The majority of the published formulas have been manually crafted, and some of the well-known examples include Taran-tula [5], Ochiai [6] and DStar [7]. All these are based on some intuition …

Calculates Ochiai's index between two vectors of features. In brief, the closer to 1 the more similar the vectors. The two vectors may have an arbitrary cardinality (i.e. don't need same length).

Implementation of Ochiai coefficient from Zoogeographic studies on the soleoid fishes found in Japan and its neighbouring regions.