Examples of br.edu.utfpr.cm.JGitMinerWeb.services.metric.global.GlobalMeasure

Package br.edu.utfpr.cm.JGitMinerWeb.services.metric.global

Examples of br.edu.utfpr.cm.JGitMinerWeb.services.metric.global.GlobalMeasure

br.edu.utfpr.cm.JGitMinerWeb.services.metric.global.GlobalMeasure
Stores the following local measure of the vertex V: - in degree: incoming edges - out degree: outcoming edges - in and out degree: in degree + out degree @author Rodrigo T. Kuroda

    private final double betweennessCentrality;
    
    public EgoMeasure(final V vertex, final long size, final long ties, 
            final double betweennessCentrality) {
        super(vertex);
        this.globalMeasure = new GlobalMeasure(size, ties);
        this.betweennessCentrality = betweennessCentrality;
    }

View Full Code Here


        Set<AuxFileFileMetrics> fileFileMetrics = new HashSet<>();
        
        out.printLog("Calculando metricas SNA...");


        GlobalMeasure global = GlobalMeasureCalculator.calcule(graph);
        out.printLog("Global measures: " + global.toString());
//        Map<String, Double> barycenter = BarycenterCalculator.calcule(graph, edgesWeigth);
        Map<String, Double> betweenness = BetweennessCalculator.calcule(graph, edgesWeigth);
        Map<String, Double> closeness = ClosenessCalculator.calcule(graph, edgesWeigth);
        Map<String, Integer> degree = DegreeCalculator.calcule(graph);
        Map<String, Double> eigenvector = EigenvectorCalculator.calcule(graph, edgesWeigth);
        Map<String, EgoMeasure<String>> ego = EgoMeasureCalculator.calcule(graph, edgesWeigth);
        Map<String, StructuralHolesMeasure<String>> structuralHoles = StructuralHolesCalculator.calcule(graph, edgesWeigth);


        out.printLog("Calculando somas, máximas, médias, updates e code churn para cada par de arquivos...");
        for (Map.Entry<AuxFileFile, Set<String>> entry : commitersPairFile.entrySet()) {
//            System.out.println(++i + "/" + size);
            AuxFileFile fileFile = entry.getKey();
            Set<String> devs = entry.getValue();
            
            // pair file network
            GlobalMeasure pairFileGlobal = GlobalMeasureCalculator.calcule(pairFileNetwork.get(fileFile));
            
//            Double barycenterSum = 0d, barycenterAvg, barycenterMax = Double.NEGATIVE_INFINITY;
            Double betweennessSum = 0d, betweennessAvg, betweennessMax = Double.NEGATIVE_INFINITY;
            Double closenessSum = 0d, closenessAvg, closenessMax = Double.NEGATIVE_INFINITY;
            Integer degreeSum = 0, degreeMax = Integer.MIN_VALUE; 
            Double degreeAvg;
            Double eigenvectorSum = 0d, eigenvectorAvg, eigenvectorMax = Double.NEGATIVE_INFINITY;


            Double egoBetweennessSum = 0d, egoBetweennessAvg, egoBetweennessMax = Double.NEGATIVE_INFINITY;
            Long egoSizeSum = 0l, egoSizeMax = Long.MIN_VALUE;
//            Long egoPairsSum = 0l, egoPairsMax = Long.MIN_VALUE;
            Long egoTiesSum = 0l, egoTiesMax = Long.MIN_VALUE;
            Double egoSizeAvg, /*egoPairsAvg,*/ egoTiesAvg;
            Double egoDensitySum = 0d, egoDensityAvg, egoDensityMax = Double.NEGATIVE_INFINITY;


            Double efficiencySum = 0.0d, efficiencyAvg, efficiencyMax = Double.NEGATIVE_INFINITY;
            Double effectiveSizeSum = 0.0d, effectiveSizeAvg, effectiveSizeMax = Double.NEGATIVE_INFINITY;
            Double constraintSum = 0.0d, constraintAvg, constraintMax = Double.NEGATIVE_INFINITY;
            Double hierarchySum = 0.0d, hierarchyAvg, hierarchyMax = Double.NEGATIVE_INFINITY;


            for (String dev : devs) {
                // sums calculation
//                barycenterSum += barycenter.get(dev);
                betweennessSum += betweenness.get(dev);
                closenessSum += Double.isInfinite(closeness.get(dev)) ? 0 : closeness.get(dev);
                degreeSum += degree.get(dev);
                eigenvectorSum += eigenvector.get(dev);


                egoBetweennessSum += ego.get(dev).getBetweennessCentrality();
                egoSizeSum += ego.get(dev).getSize();
//                egoPairsSum += ego.get(dev).getPairs();
                egoTiesSum += ego.get(dev).getTies();
                egoDensitySum += ego.get(dev).getDensity();


                efficiencySum += structuralHoles.get(dev).getEfficiency();
                effectiveSizeSum += structuralHoles.get(dev).getEffectiveSize();
                constraintSum += structuralHoles.get(dev).getConstraint();
                hierarchySum += structuralHoles.get(dev).getHierarchy();


                // maximum calculation
//                barycenterMax = Math.max(barycenterMax, barycenter.get(dev));
                betweennessMax = Math.max(betweennessMax, betweenness.get(dev));
                closenessMax = Math.max(closenessMax, closeness.get(dev));
                degreeMax = Math.max(degreeMax, degree.get(dev));
                eigenvectorMax = Math.max(eigenvectorMax, eigenvector.get(dev));


                egoBetweennessMax = Math.max(egoBetweennessMax, ego.get(dev).getBetweennessCentrality());
                egoSizeMax = Math.max(egoSizeMax, ego.get(dev).getSize());
//                egoPairsMax = Math.max(egoPairsMax, ego.get(dev).getPairs());
                egoTiesMax = Math.max(egoTiesMax, ego.get(dev).getTies());
                egoDensityMax = Math.max(egoDensityMax, ego.get(dev).getDensity());


                efficiencyMax = Math.max(efficiencyMax, structuralHoles.get(dev).getEfficiency());
                effectiveSizeMax = Math.max(effectiveSizeMax, structuralHoles.get(dev).getEffectiveSize());
                constraintMax = Math.max(constraintMax, structuralHoles.get(dev).getConstraint());
                hierarchyMax = Math.max(hierarchyMax, structuralHoles.get(dev).getHierarchy());
            }


            // average calculation
            double distinctCommentersCount = devs.size();
//                barycenterAvg = barycenterSum / (double) distinctCommentersCount;
            betweennessAvg = betweennessSum / (double) distinctCommentersCount;
            closenessAvg = closenessSum / (double) distinctCommentersCount;
            degreeAvg = degreeSum / (double) distinctCommentersCount;
            eigenvectorAvg = eigenvectorSum / (double) distinctCommentersCount;


            egoBetweennessAvg = egoBetweennessSum / (double) distinctCommentersCount;
            egoSizeAvg = egoSizeSum / (double) distinctCommentersCount;
//            egoPairsAvg = egoPairsSum / (double) distinctCommentersCount;
            egoTiesAvg = egoTiesSum / (double) distinctCommentersCount;
            egoDensityAvg = egoDensitySum / (double) distinctCommentersCount;


            efficiencyAvg = efficiencySum / (double) distinctCommentersCount;
            effectiveSizeAvg = effectiveSizeSum / (double) distinctCommentersCount;
            constraintAvg = constraintSum / (double) distinctCommentersCount;
            hierarchyAvg = hierarchySum / (double) distinctCommentersCount;


            Long updates = pairFileDAO.calculeNumberOfPullRequest(repository,
                    fileFile.getFileName(), fileFile.getFileName2(), 
                    beginNumber, endNumber, true);


            Long futureUpdates = pairFileDAO.calculeNumberOfPullRequest(repository,
                    fileFile.getFileName(), fileFile.getFileName2(), 
                    futureBeginNumber, futureEndNumber, true);


            Long commentsSum = pairFileDAO.calculeComments(repository,
                    fileFile.getFileName(), fileFile.getFileName2(), 
                    beginNumber, endNumber, true);


            Long codeChurn = pairFileDAO.calculeCodeChurn(repository,
                    fileFile.getFileName(), fileFile.getFileName2(), 
                    beginNumber, endNumber);
            Long codeChurn2 = pairFileDAO.calculeCodeChurn(repository,
                    fileFile.getFileName2(), fileFile.getFileName(),
                    beginNumber, endNumber);


            double codeChurnAvg = (codeChurn + codeChurn2) / 2.0d;


            AuxFileFileMetrics auxFileFileMetrics = new AuxFileFileMetrics(
                    fileFile.getFileName(), fileFile.getFileName2(), 
//                        barycenterSum, barycenterAvg, barycenterMax,
                    betweennessSum, betweennessAvg, betweennessMax,
                    closenessSum, closenessAvg, closenessMax,
                    degreeSum, degreeAvg, degreeMax,
                    eigenvectorSum, eigenvectorAvg, eigenvectorMax,


                    egoBetweennessSum, egoBetweennessAvg, egoBetweennessMax,
                    egoSizeSum, egoSizeAvg, egoSizeMax,
                    egoTiesSum, egoTiesAvg, egoTiesMax,
//                    egoPairsSum, egoPairsAvg, egoPairsMax,
                    egoDensitySum, egoDensityAvg, egoDensityMax,


                    efficiencySum, efficiencyAvg, efficiencyMax, 
                    effectiveSizeSum, effectiveSizeAvg, effectiveSizeMax,
                    constraintSum, constraintAvg, constraintMax,
                    hierarchySum, hierarchyAvg, hierarchyMax,


                    pairFileGlobal.getSize(), pairFileGlobal.getTies(),
                    pairFileGlobal.getDensity(), pairFileGlobal.getDiameter(), 


                    distinctCommentersCount, commentsSum,
                    codeChurn, codeChurn2, codeChurnAvg,
                    updates, futureUpdates
            );

View Full Code Here

        for (Map.Entry<AuxFileFile, DirectedSparseMultigraph<String, String>> entry : pairFileNetwork.entrySet()) {
            out.printLog(++i + "/" + size);
            out.printLog("Calculando metricas SNA...");
            AuxFileFile fileFile = entry.getKey();
            DirectedSparseMultigraph<String, String> graph = entry.getValue();
            GlobalMeasure global = GlobalMeasureCalculator.calcule(graph);
            Map<String, Double> barycenter = BarycenterCalculator.calcule(graph, edgesWeigth);
            Map<String, Double> betweenness = BetweennessCalculator.calcule(graph, edgesWeigth);
            Map<String, Double> closeness = ClosenessCalculator.calcule(graph, edgesWeigth);
            Map<String, Integer> degree = DegreeCalculator.calcule(graph);
            Map<String, Double> eigenvector = EigenvectorCalculator.calcule(graph, edgesWeigth);
            Map<String, EgoMeasure<String>> ego = EgoMeasureCalculator.calcule(graph, edgesWeigth);
            Map<String, StructuralHolesMeasure<String>> structuralHoles = StructuralHolesCalculator.calcule(graph, edgesWeigth);
            
            Double barycenterSum = 0d, barycenterAvg, barycenterMax = Double.NEGATIVE_INFINITY;
            Double betweennessSum = 0d, betweennessAvg, betweennessMax = Double.NEGATIVE_INFINITY;
            Double closenessSum = 0d, closenessAvg, closenessMax = Double.NEGATIVE_INFINITY;
            Integer degreeSum = 0, degreeMax = Integer.MIN_VALUE; 
            Double degreeAvg;
            Double eigenvectorSum = 0d, eigenvectorAvg, eigenvectorMax = Double.NEGATIVE_INFINITY;
            
            Double egoBetweennessSum = 0d, egoBetweennessAvg, egoBetweennessMax = Double.NEGATIVE_INFINITY;
            Long egoSizeSum = 0l, egoSizeMax = Long.MIN_VALUE;
//            Long egoPairsSum = 0l, egoPairsMax = Long.MIN_VALUE;
            Long egoTiesSum = 0l, egoTiesMax = Long.MIN_VALUE;
            Double egoSizeAvg, /*egoPairsAvg,*/ egoTiesAvg;
            Double egoDensitySum = 0d, egoDensityAvg, egoDensityMax = Double.NEGATIVE_INFINITY;
            
            Double efficiencySum = 0.0d, efficiencyAvg, efficiencyMax = Double.NEGATIVE_INFINITY;
            Double effectiveSizeSum = 0.0d, effectiveSizeAvg, effectiveSizeMax = Double.NEGATIVE_INFINITY;
            Double constraintSum = 0.0d, constraintAvg, constraintMax = Double.NEGATIVE_INFINITY;
            Double hierarchySum = 0.0d, hierarchyAvg, hierarchyMax = Double.NEGATIVE_INFINITY;
            
            out.printLog("Calculando as somas, máximas e médias...");
            for (String dev : graph.getVertices()) {
                // sums calculation
                barycenterSum += barycenter.get(dev);
                betweennessSum += betweenness.get(dev);
                closenessSum += closeness.get(dev);
                degreeSum += degree.get(dev);
                eigenvectorSum += eigenvector.get(dev);
                
                egoBetweennessSum += ego.get(dev).getBetweennessCentrality();
                egoSizeSum += ego.get(dev).getSize();
//                egoPairsSum += ego.get(dev).getPairs();
                egoTiesSum += ego.get(dev).getTies();
                egoDensitySum += ego.get(dev).getDensity();
                
                efficiencySum += structuralHoles.get(dev).getEfficiency();
                effectiveSizeSum += structuralHoles.get(dev).getEffectiveSize();
                constraintSum += structuralHoles.get(dev).getConstraint();
                hierarchySum += structuralHoles.get(dev).getHierarchy();
                
                // maximum calculation
                barycenterMax = Math.max(barycenterMax, barycenter.get(dev));
                betweennessMax = Math.max(betweennessMax, betweenness.get(dev));
                closenessMax = Math.max(closenessMax, closeness.get(dev));
                degreeMax = Math.max(degreeMax, degree.get(dev));
                eigenvectorMax = Math.max(eigenvectorMax, eigenvector.get(dev));
                
                egoBetweennessMax = Math.max(egoBetweennessMax, ego.get(dev).getBetweennessCentrality());
                egoSizeMax = Math.max(egoSizeMax, ego.get(dev).getSize());
//                egoPairsMax = Math.max(egoPairsMax, ego.get(dev).getPairs());
                egoTiesMax = Math.max(egoTiesMax, ego.get(dev).getTies());
                egoDensityMax = Math.max(egoDensityMax, ego.get(dev).getDensity());
                
                efficiencyMax = Math.max(efficiencyMax, structuralHoles.get(dev).getEfficiency());
                effectiveSizeMax = Math.max(effectiveSizeMax, structuralHoles.get(dev).getEffectiveSize());
                constraintMax = Math.max(constraintMax, structuralHoles.get(dev).getConstraint());
                hierarchyMax = Math.max(hierarchyMax, structuralHoles.get(dev).getHierarchy());
            }
            
            // average calculation
            double devCount = graph.getVertexCount();
            barycenterAvg = barycenterSum / (double) devCount;
            betweennessAvg = betweennessSum / (double) devCount;
            closenessAvg = closenessSum / (double) devCount;
            degreeAvg = degreeSum / (double) devCount;
            eigenvectorAvg = eigenvectorSum / (double) devCount;
            
            egoBetweennessAvg = egoBetweennessSum / (double) devCount;
            egoSizeAvg = egoSizeSum / (double) devCount;
//            egoPairsAvg = egoPairsSum / (double) devCount;
            egoTiesAvg = egoTiesSum / (double) devCount;
            egoDensityAvg = egoDensitySum / (double) devCount;
            
            efficiencyAvg = efficiencySum / (double) devCount;
            effectiveSizeAvg = effectiveSizeSum / (double) devCount;
            constraintAvg = constraintSum / (double) devCount;
            hierarchyAvg = hierarchySum / (double) devCount;
            
            out.printLog("Calculando updates e code churn...");
            Long updates = calculeUpdates(
                    fileFile.getFileName(), fileFile.getFileName2(), 
                    getBeginDate(), getEndDate());


            Long futureUpdates = calculeUpdates(
                    fileFile.getFileName(), fileFile.getFileName2(), 
                    futureBeginDate, futureEndDate);


            Long codeChurn = calculeCodeChurn(
                    fileFile.getFileName(), fileFile.getFileName2(), 
                    getBeginDate(), getEndDate());
            Long codeChurn2 = calculeCodeChurn(
                    fileFile.getFileName2(), fileFile.getFileName(),
                    getBeginDate(), getEndDate());


            double codeChurnAvg = (codeChurn + codeChurn2) / 2.0d;
            
            AuxFileFileMetrics auxFileFileMetrics = new AuxFileFileMetrics(
                    fileFile.getFileName(), fileFile.getFileName2(), 
                    barycenterSum, barycenterAvg, barycenterMax,
                    betweennessSum, betweennessAvg, betweennessMax,
                    closenessSum, closenessAvg, closenessMax,
                    degreeSum, degreeAvg, degreeMax,
                    eigenvectorSum, eigenvectorAvg, eigenvectorMax,
                    
                    egoBetweennessSum, egoBetweennessAvg, egoBetweennessMax,
                    egoSizeSum, egoSizeAvg, egoSizeMax,
                    egoTiesSum, egoTiesAvg, egoTiesMax,
//                    egoPairsSum, egoPairsAvg, egoPairsMax,
                    egoDensitySum, egoDensityAvg, egoDensityMax,
                    
                    efficiencySum, efficiencyAvg, efficiencyMax, 
                    effectiveSizeSum, effectiveSizeAvg, effectiveSizeMax,
                    constraintSum, constraintAvg, constraintMax,
                    hierarchySum, hierarchyAvg, hierarchyMax,
                    
                    global.getSize(), global.getTies(),
                    global.getDensity(), global.getDiameter(), 
                    
                    devCount,
                    codeChurn, codeChurn2, codeChurnAvg,
                    updates, futureUpdates
            );

View Full Code Here


        Set<AuxFileFileMetrics> fileFileMetrics = new HashSet<>();
        
        out.printLog("Calculando metricas SNA...");


        GlobalMeasure global = GlobalMeasureCalculator.calcule(graph);
        out.printLog("Global measures: " + global.toString());
//        Map<String, Double> barycenter = BarycenterCalculator.calcule(graph, edgesWeigth);
        Map<String, Double> betweenness = BetweennessCalculator.calcule(graph, edgesWeigth);
        Map<String, Double> closeness = ClosenessCalculator.calcule(graph, edgesWeigth);
        Map<String, Integer> degree = DegreeCalculator.calcule(graph);
        Map<String, Double> eigenvector = EigenvectorCalculator.calcule(graph, edgesWeigth);
        Map<String, EgoMeasure<String>> ego = EgoMeasureCalculator.calcule(graph, edgesWeigth);
        Map<String, StructuralHolesMeasure<String>> structuralHoles = StructuralHolesCalculator.calcule(graph, edgesWeigth);


        out.printLog("Calculando somas, máximas, médias, updates e code churn para cada par de arquivos...");
        for (Map.Entry<AuxFileFile, Set<String>> entry : commitersPairFile.entrySet()) {
//            System.out.println(++i + "/" + size);
            AuxFileFile fileFile = entry.getKey();
            Set<String> devs = entry.getValue();
            
            // pair file network
            GlobalMeasure pairFileGlobal = GlobalMeasureCalculator.calcule(pairFileNetwork.get(fileFile));
            
//            Double barycenterSum = 0d, barycenterAvg, barycenterMax = Double.NEGATIVE_INFINITY;
            Double betweennessSum = 0d, betweennessAvg, betweennessMax = Double.NEGATIVE_INFINITY;
            Double closenessSum = 0d, closenessAvg, closenessMax = Double.NEGATIVE_INFINITY;
            Integer degreeSum = 0, degreeMax = Integer.MIN_VALUE; 
            Double degreeAvg;
            Double eigenvectorSum = 0d, eigenvectorAvg, eigenvectorMax = Double.NEGATIVE_INFINITY;


            Double egoBetweennessSum = 0d, egoBetweennessAvg, egoBetweennessMax = Double.NEGATIVE_INFINITY;
            Long egoSizeSum = 0l, egoSizeMax = Long.MIN_VALUE;
//            Long egoPairsSum = 0l, egoPairsMax = Long.MIN_VALUE;
            Long egoTiesSum = 0l, egoTiesMax = Long.MIN_VALUE;
            Double egoSizeAvg, /*egoPairsAvg,*/ egoTiesAvg;
            Double egoDensitySum = 0d, egoDensityAvg, egoDensityMax = Double.NEGATIVE_INFINITY;


            Double efficiencySum = 0.0d, efficiencyAvg, efficiencyMax = Double.NEGATIVE_INFINITY;
            Double effectiveSizeSum = 0.0d, effectiveSizeAvg, effectiveSizeMax = Double.NEGATIVE_INFINITY;
            Double constraintSum = 0.0d, constraintAvg, constraintMax = Double.NEGATIVE_INFINITY;
            Double hierarchySum = 0.0d, hierarchyAvg, hierarchyMax = Double.NEGATIVE_INFINITY;


            for (String dev : devs) {
                // sums calculation
//                barycenterSum += barycenter.get(dev);
                betweennessSum += betweenness.get(dev);
                closenessSum += Double.isInfinite(closeness.get(dev)) ? 0 : closeness.get(dev);
                degreeSum += degree.get(dev);
                eigenvectorSum += eigenvector.get(dev);


                egoBetweennessSum += ego.get(dev).getBetweennessCentrality();
                egoSizeSum += ego.get(dev).getSize();
//                egoPairsSum += ego.get(dev).getPairs();
                egoTiesSum += ego.get(dev).getTies();
                egoDensitySum += ego.get(dev).getDensity();


                efficiencySum += structuralHoles.get(dev).getEfficiency();
                effectiveSizeSum += structuralHoles.get(dev).getEffectiveSize();
                constraintSum += structuralHoles.get(dev).getConstraint();
                hierarchySum += structuralHoles.get(dev).getHierarchy();


                // maximum calculation
//                barycenterMax = Math.max(barycenterMax, barycenter.get(dev));
                betweennessMax = Math.max(betweennessMax, betweenness.get(dev));
                closenessMax = Math.max(closenessMax, closeness.get(dev));
                degreeMax = Math.max(degreeMax, degree.get(dev));
                eigenvectorMax = Math.max(eigenvectorMax, eigenvector.get(dev));


                egoBetweennessMax = Math.max(egoBetweennessMax, ego.get(dev).getBetweennessCentrality());
                egoSizeMax = Math.max(egoSizeMax, ego.get(dev).getSize());
//                egoPairsMax = Math.max(egoPairsMax, ego.get(dev).getPairs());
                egoTiesMax = Math.max(egoTiesMax, ego.get(dev).getTies());
                egoDensityMax = Math.max(egoDensityMax, ego.get(dev).getDensity());


                efficiencyMax = Math.max(efficiencyMax, structuralHoles.get(dev).getEfficiency());
                effectiveSizeMax = Math.max(effectiveSizeMax, structuralHoles.get(dev).getEffectiveSize());
                constraintMax = Math.max(constraintMax, structuralHoles.get(dev).getConstraint());
                hierarchyMax = Math.max(hierarchyMax, structuralHoles.get(dev).getHierarchy());
            }


            // average calculation
            double distinctCommentersCount = devs.size();
//                barycenterAvg = barycenterSum / (double) distinctCommentersCount;
            betweennessAvg = betweennessSum / (double) distinctCommentersCount;
            closenessAvg = closenessSum / (double) distinctCommentersCount;
            degreeAvg = degreeSum / (double) distinctCommentersCount;
            eigenvectorAvg = eigenvectorSum / (double) distinctCommentersCount;


            egoBetweennessAvg = egoBetweennessSum / (double) distinctCommentersCount;
            egoSizeAvg = egoSizeSum / (double) distinctCommentersCount;
//            egoPairsAvg = egoPairsSum / (double) distinctCommentersCount;
            egoTiesAvg = egoTiesSum / (double) distinctCommentersCount;
            egoDensityAvg = egoDensitySum / (double) distinctCommentersCount;


            efficiencyAvg = efficiencySum / (double) distinctCommentersCount;
            effectiveSizeAvg = effectiveSizeSum / (double) distinctCommentersCount;
            constraintAvg = constraintSum / (double) distinctCommentersCount;
            hierarchyAvg = hierarchySum / (double) distinctCommentersCount;


            Long updates = pairFileDAO.calculeNumberOfPullRequest(repository,
                    fileFile.getFileName(), fileFile.getFileName2(), 
                    beginNumber, endNumber, true);


            Long futureUpdates = pairFileDAO.calculeNumberOfPullRequest(repository,
                    fileFile.getFileName(), fileFile.getFileName2(), 
                    futureBeginNumber, futureEndNumber, true);


            Long commentsSum = pairFileDAO.calculeComments(repository,
                    fileFile.getFileName(), fileFile.getFileName2(), 
                    beginNumber, endNumber, true);


            Long codeChurn = pairFileDAO.calculeCodeChurn(repository,
                    fileFile.getFileName(), fileFile.getFileName2(), 
                    beginNumber, endNumber);
            Long codeChurn2 = pairFileDAO.calculeCodeChurn(repository,
                    fileFile.getFileName2(), fileFile.getFileName(),
                    beginNumber, endNumber);


            double codeChurnAvg = (codeChurn + codeChurn2) / 2.0d;


            AuxFileFileMetrics auxFileFileMetrics = new AuxFileFileMetrics(
                    fileFile.getFileName(), fileFile.getFileName2(), 
//                        barycenterSum, barycenterAvg, barycenterMax,
                    betweennessSum, betweennessAvg, betweennessMax,
                    closenessSum, closenessAvg, closenessMax,
                    degreeSum, degreeAvg, degreeMax,
                    eigenvectorSum, eigenvectorAvg, eigenvectorMax,


                    egoBetweennessSum, egoBetweennessAvg, egoBetweennessMax,
                    egoSizeSum, egoSizeAvg, egoSizeMax,
                    egoTiesSum, egoTiesAvg, egoTiesMax,
//                    egoPairsSum, egoPairsAvg, egoPairsMax,
                    egoDensitySum, egoDensityAvg, egoDensityMax,


                    efficiencySum, efficiencyAvg, efficiencyMax, 
                    effectiveSizeSum, effectiveSizeAvg, effectiveSizeMax,
                    constraintSum, constraintAvg, constraintMax,
                    hierarchySum, hierarchyAvg, hierarchyMax,


                    pairFileGlobal.getSize(), pairFileGlobal.getTies(),
                    pairFileGlobal.getDensity(), pairFileGlobal.getDiameter(), 


                    distinctCommentersCount, commentsSum,
                    codeChurn, codeChurn2, codeChurnAvg,
                    updates, futureUpdates
            );

View Full Code Here


        Set<AuxFileFileMetrics> fileFileMetrics = new HashSet<>();
        
        out.printLog("Calculando metricas SNA...");


        GlobalMeasure global = GlobalMeasureCalculator.calcule(graph);
        out.printLog("Global measures: " + global.toString());
        // Map<String, Double> barycenter = BarycenterCalculator.calcule(graph, edgesWeigth);
        Map<String, Double> betweenness = BetweennessCalculator.calcule(graph, edgesWeigth);
        Map<String, Double> closeness = ClosenessCalculator.calcule(graph, edgesWeigth);
        Map<String, Integer> degree = DegreeCalculator.calcule(graph);
        Map<String, Double> eigenvector = EigenvectorCalculator.calcule(graph, edgesWeigth);
        Map<String, EgoMeasure<String>> ego = EgoMeasureCalculator.calcule(graph, edgesWeigth);
        Map<String, StructuralHolesMeasure<String>> structuralHoles = StructuralHolesCalculator.calcule(graph, edgesWeigth);


        // number of pull requests in date interval
        Long numberOfAllPullrequestFuture = issuesSize;
        // cache for optimization number of pull requests where file is in,
        // reducing access to database
        Map<String, Long> issueFileMap = new HashMap<>();
        // cache for optimization file code churn (add, del, change),
        // reducing access to database
        Map<String, AuxCodeChurn> codeChurnRequestFileMap = new HashMap<>();
        Map<String, AuxCodeChurn> cummulativeCodeChurnRequestFileMap = new HashMap<>();
        // cache for optimization file commits made by user,
        // reducing access to database
        Map<String, AuxCodeChurn> fileUserCommitMap = new HashMap<>();


        out.printLog("Calculando somas, máximas, médias, updates, code churn e apriori para cada par de arquivos...");
        count = 0;
        final int size = commitersPairFile.entrySet().size();
        out.printLog("Número de pares de arquivos: " + commitersPairFile.keySet().size());
        for (Map.Entry<AuxFileFile, Set<String>> entry : commitersPairFile.entrySet()) {
            if (count++ % 100 == 0 || count == size) {
                System.out.println(count + "/" + size);
            }
            AuxFileFile fileFile = entry.getKey();
            Set<String> devsCommentters = entry.getValue();
            
            // pair file network
            GlobalMeasure pairFileGlobal = GlobalMeasureCalculator.calcule(pairFileNetwork.get(fileFile));
            
//            Double barycenterSum = 0d, barycenterAvg, barycenterMax = Double.NEGATIVE_INFINITY;
            Double betweennessSum = 0d, betweennessAvg, betweennessMax = Double.NEGATIVE_INFINITY;
            Double closenessSum = 0d, closenessAvg, closenessMax = Double.NEGATIVE_INFINITY;
            Integer degreeSum = 0, degreeMax = Integer.MIN_VALUE; 
            Double degreeAvg;
            Double eigenvectorSum = 0d, eigenvectorAvg, eigenvectorMax = Double.NEGATIVE_INFINITY;


            Double egoBetweennessSum = 0d, egoBetweennessAvg, egoBetweennessMax = Double.NEGATIVE_INFINITY;
            Long egoSizeSum = 0l, egoSizeMax = Long.MIN_VALUE;
//            Long egoPairsSum = 0l, egoPairsMax = Long.MIN_VALUE;
            Long egoTiesSum = 0l, egoTiesMax = Long.MIN_VALUE;
            Double egoSizeAvg, /*egoPairsAvg,*/ egoTiesAvg;
            Double egoDensitySum = 0d, egoDensityAvg, egoDensityMax = Double.NEGATIVE_INFINITY;


            Double efficiencySum = 0.0d, efficiencyAvg, efficiencyMax = Double.NEGATIVE_INFINITY;
            Double effectiveSizeSum = 0.0d, effectiveSizeAvg, effectiveSizeMax = Double.NEGATIVE_INFINITY;
            Double constraintSum = 0.0d, constraintAvg, constraintMax = Double.NEGATIVE_INFINITY;
            Double hierarchySum = 0.0d, hierarchyAvg, hierarchyMax = Double.NEGATIVE_INFINITY;


            for (String commenter : devsCommentters) {
                // sums calculation
//                barycenterSum += barycenter.get(commenter);
                betweennessSum += betweenness.get(commenter);
                closenessSum += Double.isInfinite(closeness.get(commenter)) ? 0 : closeness.get(commenter);
                degreeSum += degree.get(commenter);
//                eigenvectorSum += eigenvector.get(commenter);


                egoBetweennessSum += ego.get(commenter).getBetweennessCentrality();
                egoSizeSum += ego.get(commenter).getSize();
//                egoPairsSum += ego.get(commenter).getPairs();
                egoTiesSum += ego.get(commenter).getTies();
                egoDensitySum += ego.get(commenter).getDensity();


                efficiencySum += structuralHoles.get(commenter).getEfficiency();
                effectiveSizeSum += structuralHoles.get(commenter).getEffectiveSize();
                constraintSum += structuralHoles.get(commenter).getConstraint();
                hierarchySum += structuralHoles.get(commenter).getHierarchy();
                // maximum calculation
//                barycenterMax = Math.max(barycenterMax, barycenter.get(commenter));
                betweennessMax = Math.max(betweennessMax, betweenness.get(commenter));
                closenessMax = Math.max(closenessMax, Double.isInfinite(closeness.get(commenter)) ? 0 : closeness.get(commenter));
                degreeMax = Math.max(degreeMax, degree.get(commenter));
                eigenvectorMax = Math.max(eigenvectorMax, eigenvector.get(commenter));


                egoBetweennessMax = Math.max(egoBetweennessMax, ego.get(commenter).getBetweennessCentrality());
                egoSizeMax = Math.max(egoSizeMax, ego.get(commenter).getSize());
//                egoPairsMax = Math.max(egoPairsMax, ego.get(commenter).getPairs());
                egoTiesMax = Math.max(egoTiesMax, ego.get(commenter).getTies());
                egoDensityMax = Math.max(egoDensityMax, ego.get(commenter).getDensity());


                efficiencyMax = Math.max(efficiencyMax, structuralHoles.get(commenter).getEfficiency());
                effectiveSizeMax = Math.max(effectiveSizeMax, structuralHoles.get(commenter).getEffectiveSize());
                constraintMax = Math.max(constraintMax, structuralHoles.get(commenter).getConstraint());
                hierarchyMax = Math.max(hierarchyMax, structuralHoles.get(commenter).getHierarchy());


            }


            // Average calculation /////////////////////////////////////////////
            Integer distinctCommentersCount = devsCommentters.size();
//            barycenterAvg = barycenterSum / (double) distinctCommentersCount;
            betweennessAvg = betweennessSum / distinctCommentersCount.doubleValue();
            closenessAvg = closenessSum / distinctCommentersCount.doubleValue();
            degreeAvg = degreeSum / distinctCommentersCount.doubleValue();
            eigenvectorAvg = eigenvectorSum / distinctCommentersCount.doubleValue();


            egoBetweennessAvg = egoBetweennessSum / distinctCommentersCount.doubleValue();
            egoSizeAvg = egoSizeSum / distinctCommentersCount.doubleValue();
//            egoPairsAvg = egoPairsSum / distinctCommentersCount;
            egoTiesAvg = egoTiesSum / distinctCommentersCount.doubleValue();
            egoDensityAvg = egoDensitySum / distinctCommentersCount.doubleValue();


            efficiencyAvg = efficiencySum / distinctCommentersCount.doubleValue();
            effectiveSizeAvg = effectiveSizeSum / distinctCommentersCount.doubleValue();
            constraintAvg = constraintSum / distinctCommentersCount.doubleValue();
            hierarchyAvg = hierarchySum / distinctCommentersCount.doubleValue();


            // Commit-based metrics ////////////////////////////////////////////
            final long changes = calculeFileCodeChurn(codeChurnRequestFileMap, fileFile.getFileName(), bichoFileDAO, beginDate, endDate);
            final long changes2 = calculeFileCodeChurn(codeChurnRequestFileMap, fileFile.getFileName2(), bichoFileDAO, beginDate, endDate);


            final long cummulativeChanges = calculeFileCodeChurn(cummulativeCodeChurnRequestFileMap, fileFile.getFileName(), bichoFileDAO, null, endDate);
            final long cummulativeChanges2 = calculeFileCodeChurn(cummulativeCodeChurnRequestFileMap, fileFile.getFileName2(), bichoFileDAO, null, endDate);


            Set<AuxUser> devsCommitters = bichoPairFileDAO.selectCommitters(
                    fileFile.getFileName(), fileFile.getFileName2(), beginDate, endDate);


            Long devCommitsSum = 0l, devCommitsMax = 0l;
            Double devCommitsAvg;
            Double ownershipSum = 0.0d, ownershipAvg, ownershipMax = 0.0d;
            Long minorContributors = 0l, majorContributors = 0l;
            Double ownerExperience = 0.0d, ownerExperience2 = 0.0d, cummulativeOwnerExperience = 0.0d, cummulativeOwnerExperience2 = 0.0d;


            long committers = devsCommitters.size();
            long distinctCommitters = bichoPairFileDAO.calculeCommitters(
                    fileFile.getFileName(), fileFile.getFileName2(), null, endDate);


            Long commits = bichoPairFileDAO.calculeCommits(
                    fileFile.getFileName(), fileFile.getFileName2(),
                    beginDate, endDate);


            for (AuxUser devCommitter : devsCommitters) {
                Long devCommits = bichoPairFileDAO.calculeCommits(
                        fileFile.getFileName(), fileFile.getFileName2(), devCommitter.getUser(),
                        beginDate, endDate);
                devCommitsSum += devCommits;


                Double ownership = devCommits.doubleValue() / commits.doubleValue();
                ownershipSum += ownership;


                if (ownership <= 0.05) { // menor ou igual que 5% = minor
                    minorContributors++;
                } else { // maior que 5% = major
                    majorContributors++;
                }


                devCommitsMax = Math.max(devCommitsMax, devCommits);
                ownershipMax = Math.max(ownershipMax, ownership);


                // Calculing OEXP of each file
                Double experience = calculeDevFileExperience(changes, fileUserCommitMap, fileFile.getFileName(), devCommitter.getUser(), bichoFileDAO, beginDate, endDate);
                ownerExperience = Math.max(experience, ownerExperience);


                Double experience2 = calculeDevFileExperience(changes2, fileUserCommitMap, fileFile.getFileName2(), devCommitter.getUser(), bichoFileDAO, beginDate, endDate);
                ownerExperience2 = Math.max(experience2, ownerExperience2);


                // Calculing OWN
                Double cumulativeExperience = calculeDevFileExperience(cummulativeChanges, fileUserCommitMap, fileFile.getFileName(), devCommitter.getUser(), bichoFileDAO, null, endDate);
                cummulativeOwnerExperience = Math.max(cummulativeOwnerExperience, cumulativeExperience);


                Double cumulativeExperience2 = calculeDevFileExperience(cummulativeChanges2, fileUserCommitMap, fileFile.getFileName2(), devCommitter.getUser(), bichoFileDAO, null, endDate);
                cummulativeOwnerExperience2 = Math.max(cummulativeOwnerExperience2, cumulativeExperience2);


            }


            devCommitsAvg = (double) devCommitsSum / (double) committers;
            ownershipAvg = (double) ownershipSum / (double) committers;


//            double majorContributorsRate = (double) majorContributors / (double) committers; // % de major
//            double minorContributorsRate = (double) minorContributors / (double) committers; // % de minor


            Long updates = bichoPairFileDAO.calculeNumberOfIssues(
                    fileFile.getFileName(), fileFile.getFileName2(), 
                    beginDate, endDate, true);


            Long futureUpdates;
            if (beginDate.equals(futureBeginDate) && endDate.equals(futureEndDate)) {
                futureUpdates = updates;
            } else {
                futureUpdates = bichoPairFileDAO.calculeNumberOfIssues(
                        fileFile.getFileName(), fileFile.getFileName2(),
                        futureBeginDate, futureEndDate, true);
            }


            // list all issues and its comments
            Collection<AuxWordiness> issuesAndComments = bichoPairFileDAO.listIssues(
                    fileFile.getFileName(), fileFile.getFileName2(), beginDate, endDate, true);


            long wordiness = 0;
            for (AuxWordiness auxWordiness : issuesAndComments) {
                wordiness += WordinessCalculator.calcule(auxWordiness);
            }


            Long commentsSum = bichoPairFileDAO.calculeComments(
                    fileFile.getFileName(), fileFile.getFileName2(), 
                    beginDate, endDate, true);


            Long codeChurn = 0l/*bichoFileDAO.calculeCodeChurn(
                     fileFile.getFileName(), beginDate, endDate)*/;
            Long codeChurn2 = 0l /*bichoFileDAO.calculeCodeChurn(
                     fileFile.getFileName2(), beginDate, endDate)*/;


            AuxCodeChurn pairFileCodeChurn = bichoPairFileDAO.calculeCodeChurnAddDelChange(
                    fileFile.getFileName2(), fileFile.getFileName(),
                    beginDate, endDate);


            double codeChurnAvg = (codeChurn + codeChurn2) / 2.0d;


            closenessSum = MathUtils.zeroIfNaN(closenessSum);
            closenessAvg = MathUtils.zeroIfNaN(closenessAvg);
            closenessMax = MathUtils.zeroIfNaN(closenessMax);


            // pair file age in release interval (days)
            int ageRelease = bichoPairFileDAO.calculePairFileDaysAge( fileFile.getFileName(), fileFile.getFileName2(), beginDate, endDate, true);


            // pair file age in total until final date (days)
            int ageTotal = bichoPairFileDAO.calculePairFileDaysAge( fileFile.getFileName(), fileFile.getFileName2(), null, endDate, true);


            boolean samePackage = PathUtils.isSameFullPath(fileFile.getFileName(), fileFile.getFileName2());


            AuxFileFileMetrics auxFileFileMetrics = new AuxFileFileMetrics(
                    fileFile.getFileName(), fileFile.getFileName2(), BooleanUtils.toInteger(samePackage),
                    //                        barycenterSum, barycenterAvg, barycenterMax,
                    betweennessSum, betweennessAvg, betweennessMax,
                    closenessSum, closenessAvg, closenessMax,
                    degreeSum, degreeAvg, degreeMax,
                    eigenvectorSum, eigenvectorAvg, eigenvectorMax,


                    egoBetweennessSum, egoBetweennessAvg, egoBetweennessMax,
                    egoSizeSum, egoSizeAvg, egoSizeMax,
                    egoTiesSum, egoTiesAvg, egoTiesMax,
//                    egoPairsSum, egoPairsAvg, egoPairsMax,
                    egoDensitySum, egoDensityAvg, egoDensityMax,


                    efficiencySum, efficiencyAvg, efficiencyMax, 
                    effectiveSizeSum, effectiveSizeAvg, effectiveSizeMax,
                    constraintSum, constraintAvg, constraintMax,
                    hierarchySum, hierarchyAvg, hierarchyMax,


                    pairFileGlobal.getSize(), pairFileGlobal.getTies(),
                    pairFileGlobal.getDensity(), pairFileGlobal.getDiameter(), 
                    devCommitsSum, devCommitsAvg, devCommitsMax,
                    ownershipSum, ownershipAvg, ownershipMax,
                    majorContributors, minorContributors,
                    ownerExperience, ownerExperience2,
                    cummulativeOwnerExperience, cummulativeOwnerExperience2,

View Full Code Here


        Set<AuxFileFileMetrics> fileFileMetrics = new HashSet<>();
        
        out.printLog("Calculando metricas SNA...");


        GlobalMeasure global = GlobalMeasureCalculator.calcule(graph);
        out.printLog("Global measures: " + global.toString());
        // Map<String, Double> barycenter = BarycenterCalculator.calcule(graph, edgesWeigth);
        Map<String, Double> betweenness = BetweennessCalculator.calcule(graph, edgesWeigth);
        Map<String, Double> closeness = ClosenessCalculator.calcule(graph, edgesWeigth);
        Map<String, Integer> degree = DegreeCalculator.calcule(graph);
         Map<String, Double> eigenvector = EigenvectorCalculator.calcule(graph, edgesWeigth);
        Map<String, EgoMeasure<String>> ego = EgoMeasureCalculator.calcule(graph, edgesWeigth);
        Map<String, StructuralHolesMeasure<String>> structuralHoles = StructuralHolesCalculator.calcule(graph, edgesWeigth);


        // number of pull requests in date interval
        Long numberOfAllPullrequestFuture = pairFileDAO.calculeNumberOfPullRequest(getRepository(), null, null, futureBeginDate, futureEndDate, true);
        // cache for optimization number of pull requests where file is in,
        // reducing access to database
        Map<String, Long> pullRequestFileMap = new HashMap<>();
        // cache for optimization file code churn (add, del, change),
        // reducing access to database
        Map<String, AuxCodeChurn> codeChurnRequestFileMap = new HashMap<>();
        Map<String, AuxCodeChurn> cummulativeCodeChurnRequestFileMap = new HashMap<>();
        // cache for optimization file commits made by user,
        // reducing access to database
        Map<String, AuxCodeChurn> fileUserCommitMap = new HashMap<>();


        out.printLog("Calculando somas, máximas, médias, updates, code churn e apriori para cada par de arquivos...");
        count = 0;
        final int size = commitersPairFile.entrySet().size();
        out.printLog("Número de pares de arquivos: " + commitersPairFile.keySet().size());
        for (Map.Entry<AuxFileFile, Set<String>> entry : commitersPairFile.entrySet()) {
            if (count++ % 100 == 0 || count == size) {
                System.out.println(count + "/" + size);
            }
            AuxFileFile fileFile = entry.getKey();
            Set<String> devsCommentters = entry.getValue();
            
            // pair file network
            GlobalMeasure pairFileGlobal = GlobalMeasureCalculator.calcule(pairFileNetwork.get(fileFile));
            
//            Double barycenterSum = 0d, barycenterAvg, barycenterMax = Double.NEGATIVE_INFINITY;
            Double betweennessSum = 0d, betweennessAvg, betweennessMax = Double.NEGATIVE_INFINITY;
            Double closenessSum = 0d, closenessAvg, closenessMax = Double.NEGATIVE_INFINITY;
            Integer degreeSum = 0, degreeMax = Integer.MIN_VALUE; 
            Double degreeAvg;
            Double eigenvectorSum = 0d, eigenvectorAvg, eigenvectorMax = Double.NEGATIVE_INFINITY;


            Double egoBetweennessSum = 0d, egoBetweennessAvg, egoBetweennessMax = Double.NEGATIVE_INFINITY;
            Long egoSizeSum = 0l, egoSizeMax = Long.MIN_VALUE;
//            Long egoPairsSum = 0l, egoPairsMax = Long.MIN_VALUE;
            Long egoTiesSum = 0l, egoTiesMax = Long.MIN_VALUE;
            Double egoSizeAvg, /*egoPairsAvg,*/ egoTiesAvg;
            Double egoDensitySum = 0d, egoDensityAvg, egoDensityMax = Double.NEGATIVE_INFINITY;


            Double efficiencySum = 0.0d, efficiencyAvg, efficiencyMax = Double.NEGATIVE_INFINITY;
            Double effectiveSizeSum = 0.0d, effectiveSizeAvg, effectiveSizeMax = Double.NEGATIVE_INFINITY;
            Double constraintSum = 0.0d, constraintAvg, constraintMax = Double.NEGATIVE_INFINITY;
            Double hierarchySum = 0.0d, hierarchyAvg, hierarchyMax = Double.NEGATIVE_INFINITY;


            for (String commenter : devsCommentters) {
                // sums calculation
//                barycenterSum += barycenter.get(commenter);
                betweennessSum += betweenness.get(commenter);
                closenessSum += Double.isInfinite(closeness.get(commenter)) ? 0 : closeness.get(commenter);
                degreeSum += degree.get(commenter);
//                eigenvectorSum += eigenvector.get(commenter);


                egoBetweennessSum += ego.get(commenter).getBetweennessCentrality();
                egoSizeSum += ego.get(commenter).getSize();
//                egoPairsSum += ego.get(commenter).getPairs();
                egoTiesSum += ego.get(commenter).getTies();
                egoDensitySum += ego.get(commenter).getDensity();


                efficiencySum += structuralHoles.get(commenter).getEfficiency();
                effectiveSizeSum += structuralHoles.get(commenter).getEffectiveSize();
                constraintSum += structuralHoles.get(commenter).getConstraint();
                hierarchySum += structuralHoles.get(commenter).getHierarchy();
                // maximum calculation
//                barycenterMax = Math.max(barycenterMax, barycenter.get(commenter));
                betweennessMax = Math.max(betweennessMax, betweenness.get(commenter));
                closenessMax = Math.max(closenessMax, Double.isInfinite(closeness.get(commenter)) ? 0 : closeness.get(commenter));
                degreeMax = Math.max(degreeMax, degree.get(commenter));
                eigenvectorMax = Math.max(eigenvectorMax, eigenvector.get(commenter));


                egoBetweennessMax = Math.max(egoBetweennessMax, ego.get(commenter).getBetweennessCentrality());
                egoSizeMax = Math.max(egoSizeMax, ego.get(commenter).getSize());
//                egoPairsMax = Math.max(egoPairsMax, ego.get(commenter).getPairs());
                egoTiesMax = Math.max(egoTiesMax, ego.get(commenter).getTies());
                egoDensityMax = Math.max(egoDensityMax, ego.get(commenter).getDensity());


                efficiencyMax = Math.max(efficiencyMax, structuralHoles.get(commenter).getEfficiency());
                effectiveSizeMax = Math.max(effectiveSizeMax, structuralHoles.get(commenter).getEffectiveSize());
                constraintMax = Math.max(constraintMax, structuralHoles.get(commenter).getConstraint());
                hierarchyMax = Math.max(hierarchyMax, structuralHoles.get(commenter).getHierarchy());


            }


            // Average calculation /////////////////////////////////////////////
            Integer distinctCommentersCount = devsCommentters.size();
//            barycenterAvg = barycenterSum / (double) distinctCommentersCount;
            betweennessAvg = betweennessSum / distinctCommentersCount.doubleValue();
            closenessAvg = closenessSum / distinctCommentersCount.doubleValue();
            degreeAvg = degreeSum / distinctCommentersCount.doubleValue();
            eigenvectorAvg = eigenvectorSum / distinctCommentersCount.doubleValue();


            egoBetweennessAvg = egoBetweennessSum / distinctCommentersCount.doubleValue();
            egoSizeAvg = egoSizeSum / distinctCommentersCount.doubleValue();
//            egoPairsAvg = egoPairsSum / distinctCommentersCount;
            egoTiesAvg = egoTiesSum / distinctCommentersCount.doubleValue();
            egoDensityAvg = egoDensitySum / distinctCommentersCount.doubleValue();


            efficiencyAvg = efficiencySum / distinctCommentersCount.doubleValue();
            effectiveSizeAvg = effectiveSizeSum / distinctCommentersCount.doubleValue();
            constraintAvg = constraintSum / distinctCommentersCount.doubleValue();
            hierarchyAvg = hierarchySum / distinctCommentersCount.doubleValue();


            // Weighted geometric average: issue > committers + commits ////////
            final long[][] committersCommitsPerIssue = pairFileDAO.calculeCommittersXCommits(
                    repository, fileFile.getFileName(), fileFile.getFileName2(), beginDate, endDate);
            final double geometricAverageCommittersCommits
                    = MathUtils.calculateWeightedGeometricAverage(committersCommitsPerIssue);


            // Commit-based metrics ////////////////////////////////////////////
            final long changes = calculeFileCodeChurn(codeChurnRequestFileMap, fileFile.getFileName(), fileDAO, beginDate, endDate);
            final long changes2 = calculeFileCodeChurn(codeChurnRequestFileMap, fileFile.getFileName2(), fileDAO, beginDate, endDate);


            final long cummulativeChanges = calculeFileCodeChurn(cummulativeCodeChurnRequestFileMap, fileFile.getFileName(), fileDAO, null, endDate);
            final long cummulativeChanges2 = calculeFileCodeChurn(cummulativeCodeChurnRequestFileMap, fileFile.getFileName2(), fileDAO, null, endDate);


            Set<AuxUser> devsCommitters = pairFileDAO.selectCommitters(repository,
                    fileFile.getFileName(), fileFile.getFileName2(), beginDate, endDate);


            Long devCommitsSum = 0l, devCommitsMax = 0l;
            Double devCommitsAvg;
            Double ownershipSum = 0.0d, ownershipAvg, ownershipMax = 0.0d;
            Long minorContributors = 0l, majorContributors = 0l;
            Double ownerExperience = 0.0d, ownerExperience2 = 0.0d, cummulativeOwnerExperience = 0.0d, cummulativeOwnerExperience2 = 0.0d;


            long committers = devsCommitters.size();
            long distinctCommitters = pairFileDAO.calculeCommitters(repository,
                    fileFile.getFileName(), fileFile.getFileName2(), null, endDate);


            Long commits = pairFileDAO.calculeCommits(repository,
                    fileFile.getFileName(), fileFile.getFileName2(),
                    beginDate, endDate);


            for (AuxUser devCommitter : devsCommitters) {
                Long devCommits = pairFileDAO.calculeCommits(repository,
                        fileFile.getFileName(), fileFile.getFileName2(), devCommitter.getUser(),
                        beginDate, endDate);
                devCommitsSum += devCommits;


                Double ownership = devCommits.doubleValue() / commits.doubleValue();
                ownershipSum += ownership;


                if (ownership <= 0.05) { // menor ou igual que 5% = minor
                    minorContributors++;
                } else { // maior que 5% = major
                    majorContributors++;
                }


                devCommitsMax = Math.max(devCommitsMax, devCommits);
                ownershipMax = Math.max(ownershipMax, ownership);


                // Calculing OEXP of each file
                Double experience = calculeDevFileExperience(changes, fileUserCommitMap, fileFile.getFileName(), devCommitter.getUser(), fileDAO, beginDate, endDate);
                ownerExperience = Math.max(experience, ownerExperience);


                Double experience2 = calculeDevFileExperience(changes2, fileUserCommitMap, fileFile.getFileName2(), devCommitter.getUser(), fileDAO, beginDate, endDate);
                ownerExperience2 = Math.max(experience2, ownerExperience2);


                // Calculing OWN
                Double cumulativeExperience = calculeDevFileExperience(cummulativeChanges, fileUserCommitMap, fileFile.getFileName(), devCommitter.getUser(), fileDAO, null, endDate);
                cummulativeOwnerExperience = Math.max(cummulativeOwnerExperience, cumulativeExperience);


                Double cumulativeExperience2 = calculeDevFileExperience(cummulativeChanges2, fileUserCommitMap, fileFile.getFileName2(), devCommitter.getUser(), fileDAO, null, endDate);
                cummulativeOwnerExperience2 = Math.max(cummulativeOwnerExperience2, cumulativeExperience2);


            }


            devCommitsAvg = (double) devCommitsSum / (double) committers;
            ownershipAvg = (double) ownershipSum / (double) committers;


//            double majorContributorsRate = (double) majorContributors / (double) committers; // % de major
//            double minorContributorsRate = (double) minorContributors / (double) committers; // % de minor


            Long updates = pairFileDAO.calculeNumberOfPullRequest(repository,
                    fileFile.getFileName(), fileFile.getFileName2(), 
                    beginDate, endDate, true);


            Long futureUpdates;
            if (beginDate.equals(futureBeginDate) && endDate.equals(futureEndDate)) {
                futureUpdates = updates;
            } else {
                futureUpdates = pairFileDAO.calculeNumberOfPullRequest(repository,
                        fileFile.getFileName(), fileFile.getFileName2(),
                        futureBeginDate, futureEndDate, true);
            }


            // list all issues and its comments
            List<AuxWordiness> issuesAndComments = pairFileDAO.listIssues(repository,
                    fileFile.getFileName(), fileFile.getFileName2(), beginDate, endDate, true);


            long wordiness = 0;
            for (AuxWordiness auxWordiness : issuesAndComments) {
                wordiness += WordinessCalculator.calcule(auxWordiness);
            }


            Long commentsSum = pairFileDAO.calculeComments(repository,
                    fileFile.getFileName(), fileFile.getFileName2(), 
                    beginDate, endDate, true);


            Long codeChurn = fileDAO.calculeCodeChurn(repository,
                    fileFile.getFileName(), beginDate, endDate);
            Long codeChurn2 = fileDAO.calculeCodeChurn(repository,
                    fileFile.getFileName2(), beginDate, endDate);


            AuxCodeChurn pairFileCodeChurn = pairFileDAO.calculeCodeChurnAddDelChange(repository,
                    fileFile.getFileName2(), fileFile.getFileName(),
                    beginDate, endDate);


            double codeChurnAvg = (codeChurn + codeChurn2) / 2.0d;


            closenessSum = MathUtils.zeroIfNaN(closenessSum);
            closenessAvg = MathUtils.zeroIfNaN(closenessAvg);
            closenessMax = MathUtils.zeroIfNaN(closenessMax);


            // pair file age in release interval (days)
            int ageRelease = pairFileDAO.calculePairFileDaysAge(repository, fileFile.getFileName(), fileFile.getFileName2(), beginDate, endDate, true);


            // pair file age in total until final date (days)
            int ageTotal = pairFileDAO.calculePairFileDaysAge(repository, fileFile.getFileName(), fileFile.getFileName2(), null, endDate, true);


            boolean samePackage = PathUtils.isSameFullPath(fileFile.getFileName(), fileFile.getFileName2());


            AuxFileFileMetrics auxFileFileMetrics = new AuxFileFileMetrics(
                    fileFile.getFileName(), fileFile.getFileName2(), BooleanUtils.toInteger(samePackage),
                    //                        barycenterSum, barycenterAvg, barycenterMax,
                    betweennessSum, betweennessAvg, betweennessMax,
                    closenessSum, closenessAvg, closenessMax,
                    degreeSum, degreeAvg, degreeMax,
                    eigenvectorSum, eigenvectorAvg, eigenvectorMax,


                    egoBetweennessSum, egoBetweennessAvg, egoBetweennessMax,
                    egoSizeSum, egoSizeAvg, egoSizeMax,
                    egoTiesSum, egoTiesAvg, egoTiesMax,
//                    egoPairsSum, egoPairsAvg, egoPairsMax,
                    egoDensitySum, egoDensityAvg, egoDensityMax,


                    efficiencySum, efficiencyAvg, efficiencyMax, 
                    effectiveSizeSum, effectiveSizeAvg, effectiveSizeMax,
                    constraintSum, constraintAvg, constraintMax,
                    hierarchySum, hierarchyAvg, hierarchyMax,


                    pairFileGlobal.getSize(), pairFileGlobal.getTies(),
                    pairFileGlobal.getDensity(), pairFileGlobal.getDiameter(), 
                    devCommitsSum, devCommitsAvg, devCommitsMax,
                    ownershipSum, ownershipAvg, ownershipMax,
                    majorContributors, minorContributors,
                    ownerExperience, ownerExperience2,
                    cummulativeOwnerExperience, cummulativeOwnerExperience2,

View Full Code Here


        Set<AuxFileFileMetrics> fileFileMetrics = new HashSet<>();
        
        out.printLog("Calculando metricas SNA...");


        GlobalMeasure global = GlobalMeasureCalculator.calcule(graph);
        out.printLog("Global measures: " + global.toString());
//        Map<String, Double> barycenter = BarycenterCalculator.calcule(graph, edgesWeigth);
        Map<String, Double> betweenness = BetweennessCalculator.calcule(graph, edgesWeigth);
        Map<String, Double> closeness = ClosenessCalculator.calcule(graph, edgesWeigth);
        Map<String, Integer> degree = DegreeCalculator.calcule(graph);
        Map<String, Double> eigenvector = EigenvectorCalculator.calcule(graph, edgesWeigth);
        Map<String, EgoMeasure<String>> ego = EgoMeasureCalculator.calcule(graph, edgesWeigth);
        Map<String, StructuralHolesMeasure<String>> structuralHoles = StructuralHolesCalculator.calcule(graph, edgesWeigth);


        out.printLog("Calculando somas, máximas, médias, updates e code churn para cada par de arquivos...");
        for (Map.Entry<AuxFileFile, Set<String>> entry : commitersPairFile.entrySet()) {
//            System.out.println(++i + "/" + size);
            AuxFileFile fileFile = entry.getKey();
            Set<String> devs = entry.getValue();
            
            // pair file network
            GlobalMeasure pairFileGlobal = GlobalMeasureCalculator.calcule(pairFileNetwork.get(fileFile));
            
//            Double barycenterSum = 0d, barycenterAvg, barycenterMax = Double.NEGATIVE_INFINITY;
            Double betweennessSum = 0d, betweennessAvg, betweennessMax = Double.NEGATIVE_INFINITY;
            Double closenessSum = 0d, closenessAvg, closenessMax = Double.NEGATIVE_INFINITY;
            Integer degreeSum = 0, degreeMax = Integer.MIN_VALUE; 
            Double degreeAvg;
            Double eigenvectorSum = 0d, eigenvectorAvg, eigenvectorMax = Double.NEGATIVE_INFINITY;


            Double egoBetweennessSum = 0d, egoBetweennessAvg, egoBetweennessMax = Double.NEGATIVE_INFINITY;
            Long egoSizeSum = 0l, egoSizeMax = Long.MIN_VALUE;
//            Long egoPairsSum = 0l, egoPairsMax = Long.MIN_VALUE;
            Long egoTiesSum = 0l, egoTiesMax = Long.MIN_VALUE;
            Double egoSizeAvg, /*egoPairsAvg,*/ egoTiesAvg;
            Double egoDensitySum = 0d, egoDensityAvg, egoDensityMax = Double.NEGATIVE_INFINITY;


            Double efficiencySum = 0.0d, efficiencyAvg, efficiencyMax = Double.NEGATIVE_INFINITY;
            Double effectiveSizeSum = 0.0d, effectiveSizeAvg, effectiveSizeMax = Double.NEGATIVE_INFINITY;
            Double constraintSum = 0.0d, constraintAvg, constraintMax = Double.NEGATIVE_INFINITY;
            Double hierarchySum = 0.0d, hierarchyAvg, hierarchyMax = Double.NEGATIVE_INFINITY;


            for (String dev : devs) {
                // sums calculation
//                barycenterSum += barycenter.get(dev);
                betweennessSum += betweenness.get(dev);
                closenessSum += Double.isInfinite(closeness.get(dev)) ? 0 : closeness.get(dev);
                degreeSum += degree.get(dev);
                eigenvectorSum += eigenvector.get(dev);


                egoBetweennessSum += ego.get(dev).getBetweennessCentrality();
                egoSizeSum += ego.get(dev).getSize();
//                egoPairsSum += ego.get(dev).getPairs();
                egoTiesSum += ego.get(dev).getTies();
                egoDensitySum += ego.get(dev).getDensity();


                efficiencySum += structuralHoles.get(dev).getEfficiency();
                effectiveSizeSum += structuralHoles.get(dev).getEffectiveSize();
                constraintSum += structuralHoles.get(dev).getConstraint();
                hierarchySum += structuralHoles.get(dev).getHierarchy();


                // maximum calculation
//                barycenterMax = Math.max(barycenterMax, barycenter.get(dev));
                betweennessMax = Math.max(betweennessMax, betweenness.get(dev));
                closenessMax = Math.max(closenessMax, Double.isInfinite(closeness.get(dev)) ? 0 : closeness.get(dev));
                degreeMax = Math.max(degreeMax, degree.get(dev));
                eigenvectorMax = Math.max(eigenvectorMax, eigenvector.get(dev));


                egoBetweennessMax = Math.max(egoBetweennessMax, ego.get(dev).getBetweennessCentrality());
                egoSizeMax = Math.max(egoSizeMax, ego.get(dev).getSize());
//                egoPairsMax = Math.max(egoPairsMax, ego.get(dev).getPairs());
                egoTiesMax = Math.max(egoTiesMax, ego.get(dev).getTies());
                egoDensityMax = Math.max(egoDensityMax, ego.get(dev).getDensity());


                efficiencyMax = Math.max(efficiencyMax, structuralHoles.get(dev).getEfficiency());
                effectiveSizeMax = Math.max(effectiveSizeMax, structuralHoles.get(dev).getEffectiveSize());
                constraintMax = Math.max(constraintMax, structuralHoles.get(dev).getConstraint());
                hierarchyMax = Math.max(hierarchyMax, structuralHoles.get(dev).getHierarchy());
            }


            // average calculation
            double distinctCommentersCount = devs.size();
//                barycenterAvg = barycenterSum / (double) distinctCommentersCount;
            betweennessAvg = betweennessSum / (double) distinctCommentersCount;
            closenessAvg = closenessSum / (double) distinctCommentersCount;
            degreeAvg = degreeSum / (double) distinctCommentersCount;
            eigenvectorAvg = eigenvectorSum / (double) distinctCommentersCount;


            egoBetweennessAvg = egoBetweennessSum / (double) distinctCommentersCount;
            egoSizeAvg = egoSizeSum / (double) distinctCommentersCount;
//            egoPairsAvg = egoPairsSum / (double) distinctCommentersCount;
            egoTiesAvg = egoTiesSum / (double) distinctCommentersCount;
            egoDensityAvg = egoDensitySum / (double) distinctCommentersCount;


            efficiencyAvg = efficiencySum / (double) distinctCommentersCount;
            effectiveSizeAvg = effectiveSizeSum / (double) distinctCommentersCount;
            constraintAvg = constraintSum / (double) distinctCommentersCount;
            hierarchyAvg = hierarchySum / (double) distinctCommentersCount;


            Long updates = pairFileDAO.calculeNumberOfPullRequest(repository,
                    fileFile.getFileName(), fileFile.getFileName2(), 
                    beginDate, endDate, true);


            Long futureUpdates = pairFileDAO.calculeNumberOfPullRequest(repository,
                    fileFile.getFileName(), fileFile.getFileName2(), 
                    futureBeginDate, futureEndDate, true);


            Long commentsSum = pairFileDAO.calculeComments(repository,
                    fileFile.getFileName(), fileFile.getFileName2(), 
                    beginDate, endDate, true);


            Long codeChurn = pairFileDAO.calculeCodeChurn(repository,
                    fileFile.getFileName(), fileFile.getFileName2(), 
                    beginDate, endDate);
            Long codeChurn2 = pairFileDAO.calculeCodeChurn(repository,
                    fileFile.getFileName2(), fileFile.getFileName(),
                    beginDate, endDate);


            double codeChurnAvg = (codeChurn + codeChurn2) / 2.0d;


            AuxFileFileMetrics auxFileFileMetrics = new AuxFileFileMetrics(
                    fileFile.getFileName(), fileFile.getFileName2(), 
//                        barycenterSum, barycenterAvg, barycenterMax,
                    betweennessSum, betweennessAvg, betweennessMax,
                    closenessSum, closenessAvg, closenessMax,
                    degreeSum, degreeAvg, degreeMax,
                    eigenvectorSum, eigenvectorAvg, eigenvectorMax,


                    egoBetweennessSum, egoBetweennessAvg, egoBetweennessMax,
                    egoSizeSum, egoSizeAvg, egoSizeMax,
                    egoTiesSum, egoTiesAvg, egoTiesMax,
//                    egoPairsSum, egoPairsAvg, egoPairsMax,
                    egoDensitySum, egoDensityAvg, egoDensityMax,


                    efficiencySum, efficiencyAvg, efficiencyMax, 
                    effectiveSizeSum, effectiveSizeAvg, effectiveSizeMax,
                    constraintSum, constraintAvg, constraintMax,
                    hierarchySum, hierarchyAvg, hierarchyMax,


                    pairFileGlobal.getSize(), pairFileGlobal.getTies(),
                    pairFileGlobal.getDensity(), pairFileGlobal.getDiameter(), 


                    distinctCommentersCount, commentsSum,
                    codeChurn, codeChurn2, codeChurnAvg,
                    updates, futureUpdates
            );

View Full Code Here

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br.edu.utfpr.cm.JGitMinerWeb.services.metric.ego.EgoMeasure

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