Constants.java

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package edu.rice.cs.hpc.data.experiment.merge;

final class Constants {
    static final float MIN_DISTANCE_METRIC = (float) 0.15;
    
    // init value of score. 
    // score can be incremented if the confidence of similarity is high,
    // score is decreased if the confidence is lower
    static final int SCORE_INIT = 100;
    
    // ------------------------------------------------------------------------
    // weight of different parameters: metric, location, name, children, ..
    // the higher the weight, the more important in similarity comparison
    // ------------------------------------------------------------------------
    // maximum score of metric similarity
    static final int WEIGHT_METRIC = 100;
    
    // score if the two scopes are the same
    static final int WEIGHT_NAME = 30;
    
    // score for the case with the same children
    static final int WEIGHT_CHILDREN = 80;
    
    // same types (loop vs. loop, line vs. line, ...)
    static final int WEIGHT_TYPE = 20;
    
    // weight (the importance) of the distance of the location
    // for some application, the distance is not important (due to inlining)
    static final float WEIGHT_LOCATION_COEF = (float) 0.2;
    static final int WEIGHT_LOCATION = 20;
    
    // ------------------------------------------------------------------------
    // pruning the search of descendants to avoid long useless search
    // ------------------------------------------------------------------------
    
    // Maximum length of breadth first search
    static final int MAX_LEN_BFS = 4;
    
    // maximum length of depth first search
    static final int MAX_LEN_DFS = 4;
    
    // ------------------------------------------------------------------------
    // minimum score for confidently the same or similar node
    // ------------------------------------------------------------------------
    
    static final int SCORE_SAME = 260;
    
    static final int SCORE_SIMILAR = 200;
}