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script.R
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script.R
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root <- "/media/galileu/Arquivos/Doutorado/Pesquisa/JOANA/rsmbf/conflicts_analyzer"
server_reports <- paste(root, "/server_reports/19-09", sep="") #""#"/server_reports/1"
rDir <- paste(server_reports, "/R", sep="")
plots <- paste(rDir, "/plots",sep="")
result_data <- paste(server_reports, "/ResultData", sep="")
reports <- paste(server_reports, "/reports", sep="")
projects <- scan(file = paste(server_reports, "/projectsList", sep=""), what = "character")
precisions <- c("TYPE_BASED", "INSTANCE_BASED","N1_OBJECT_SENSITIVE", "OBJECT_SENSITIVE",
"UNLIMITED_OBJECT_SENSITIVE", "N1_CALL_STACK", "N2_CALL_STACK", "N3_CALL_STACK")
phase2Precisions <- c("TYPE_BASED", "INSTANCE_BASED","N1_OBJECT_SENSITIVE", "OBJECT_SENSITIVE",
"N1_CALL_STACK", "N2_CALL_STACK", "N3_CALL_STACK")
exceptions <- c("Yes", "No")
phase2Exceptions <- c("No")
phase2Configs <- length(phase2Precisions) * length(phase2Exceptions)
labelsList <- list(CGNodes=c("CG Nodes"), CGEdges=c("CG Edges"),
SDGNodes=c("SDG Nodes"), SDGEdges=c("SDG Edges"),
LineVios=c("Line Violations", "Line Vios"), SdgCreated=c("Sdg Created (%)"), HasIfc=c("IF occurrence (%) by project", "IF occurrence"))
total_projects <- length(projects)
skipPhase1 <- FALSE
skipPhase2 <- FALSE
getPrettyPrecision <- function(prec){
prettyNames=c("TYPE_BASED"="Type_Based", "INSTANCE_BASED" = "Instance_Based","OBJECT_SENSITIVE" = "Object_Sensitive",
"N1_OBJECT_SENSITIVE" = "N1_Object_Sensitive",
"UNLIMITED_OBJECT_SENSITIVE" = "Unlimited_Object_Sensitive",
"N1_CALL_STACK" = "N1_Call_Stack",
"N2_CALL_STACK" = "N2_Call_Stack",
"N3_CALL_STACK"="N3_Call_Stack")
return(prettyNames[[prec]])
}
appendToList <- function(list, el){
len <- length(list) + 1
list[[len]] <- el
return(list)
}
insertLineToDf <- function(df, elems){
line <- nrow(df) + 1
for(i in getPositiveRange(length(elems)))
{
df[line,i] <- elems[i]
}
return(df)
}
strToBoolean <- function(str)
{
return(str == "Yes")
}
strsToBoolean <- function(str, str2){
ret <- NA
if(!is.na(str) && !is.na(str2))
{
ret <- strToBoolean(str) || strToBoolean(str2)
}
return(ret)
}
strToNumeric <- function(str)
{
ret <- NA
if(str == "Yes")
{
ret <- 1
}else if(str == "No")
{
ret <- 0
}
return(ret)
}
strsToNumeric <- function(str, str2)
{
ret <- NA
if(!is.na(str) && !is.na(str2))
{
ret <- strToNumeric(str) + strToNumeric(str2)
}
return(ret)
}
mkdirs <- function(dir)
{
if(!file.exists(dir))
{
dir.create(dir, recursive=TRUE)
}
}
getNRow <- function(df)
{
ret <- 0
if(!is.null(df))
{
ret <- nrow(df)
}
return(ret)
}
getPositiveRange <- function(size)
{
range <- list()
if(size > 0){
range <- 1:size
}
return(range)
}
filterDesiredConfigs <- function(desiredExceptions, desiredPrecisions, frame)
{
filtFrame <- data.frame(frame[0,], stringsAsFactors=FALSE)
filtRows <- 0
for(row in getPositiveRange(getNRow(frame))){
if(frame[row,'Precision'] %in% desiredPrecisions && frame[row,'Exception'] %in% desiredExceptions)
{
filtRows <- filtRows + 1
filtFrame[filtRows,] <- frame[row,]
}
}
return(filtFrame)
}
filterConfigsWithoutNa <- function(toEvaluateList, critList, frame, numElems)
{
redFrame <- data.frame(frame[critList])
elems <- getNRow(unique(redFrame))
filtFrame <- frame[0,]
rowNum <- 1
for(i in getPositiveRange(elems)){
start <- ((i - 1) * numElems) + 1
sum <- numElems - 1
end <- start + sum
rows <- frame[start:end,]
reducedList <- rows[unlist(toEvaluateList)]
if(all(!is.na(reducedList)))
{
filtEnd <- rowNum + sum
filtFrame[rowNum:filtEnd,] <- rows
rowNum <- filtEnd + 1
}
}
return(filtFrame)
}
calculateAllStatistics <- function(filteredRevDfsList, filteredMethodDfsList, precs = precisions, exceps = exceptions)
{
revsStats <- c()
for(toEvaluate in toEvaluateList)
{
filteredRevDfs <- filteredRevDfsList[[toEvaluate]]
revsStats[[toEvaluate]] <- calculateElementStatistics(toEvaluate, filteredRevDfs, precs, exceps)
}
filteredMethodsDfs <- filteredMethodDfsList[['LineVios']]
methStats <- calculateElementStatistics('LineVios', filteredMethodsDfs, precs, exceps)
return(list("Rev"=revsStats, "Method"=c("LineVios"=methStats)))
}
calculateElementStatistics <- function(toEvaluate, filteredRevDfs, precs, exceps){
revsStats <- c()
splittedFiltDfByPrec <- split(filteredRevDfs, filteredRevDfs$Precision)
for(precision in precs)
{
filteredPrecDf <- splittedFiltDfByPrec[[precision]]
splittedPrecDfByExcep <- split(filteredPrecDf, filteredPrecDf$Exception)
for(excep in exceps)
{
filteredDf <- splittedPrecDfByExcep[[excep]]
revsStats[[precision]][[excep]] <- calculateStatistics(filteredDf[[toEvaluate]])
}
}
return(revsStats)
}
calculateStatistics <- function(group)
{
mean <- mean(group)
median <- median(group)
sd <- sd(group)
return(list('mean'=mean, 'median'=median, 'sd'=sd))
}
generatePrecisionsBarplot <- function(list, plotType, toEvaluate, excepFileName, namesList, exception, phase="1")
{
excepsTitlePart <- c(Yes="with", No="without")
dir <- paste(plots, "/phase", phase, "/barplots/precisions/",toEvaluate, "/", sep="")
mkdirs(dir)
jpeg(paste(dir, plotType, "_PrecisionsPlot_", toEvaluate, "_", excepFileName,".jpg", sep = ""))
par(mar = c(10,5.2,2,0.7) + 0.1,las=2)
barplot(list, names.arg = namesList,
cex.names=0.9,col=c("darkblue"), main=paste("Number of creations for SDGs ",excepsTitlePart[[exception]]," exceptions (",plotType,")",sep=""))
mtext("Pointer Analysis",side=1, cex=1.4, font=2, line=8, las=0)
mtext("SDG Creations",side=2, cex=1.4, font=2,line=3, las=0)
dev.off()
}
generateGroupedPrecisionsBarplot <- function(frame, colType, elemList, plotType, toEvaluate, excepFileName, namesList, exception, phase = "1")
{
excepsTitlePart <- c(Yes="with", No="without")
m <- createMatrix(frame, colType, elemList)
print(m)
dir <- paste(plots, "/phase", phase, "/barplots/precisions/",toEvaluate, "/", sep="")
mkdirs(dir)
jpeg(paste(dir, plotType, "_PrecisionsPlot_", toEvaluate, "_", excepFileName,".jpg", sep = ""))
par(mar = c(10,5.2,2,0.7) + 0.1,las=2)
barplot(m, names.arg = namesList, beside=TRUE,
cex.names=0.9,ylim=c(0,100),col=c("green","red"), main=paste("IF occurrence for SDGs ",excepsTitlePart[[exception]]," exceptions ","(",plotType,")",sep=""))
legend("bottomleft",legend=c("Flow","No flow"),inset=c(-0.17,-0.45),xpd=TRUE,fill=c("green","red"))
mtext("Pointer Analysis",side=1, cex=1.4, font=2, line=8, las=0)
mtext("IF occurrence (%)",side=2, cex=1.4, font=2,line=3, las=0)
dev.off()
}
generateExceptionsBarplot <- function(frame, colType, elemList, plotType, toEvaluate, prec, phase="1")
{
m <- createMatrix(frame, colType, elemList)
dir <- paste(plots, "/phase", phase, "/barplots/exceptions/", toEvaluate, "/", sep="")
mkdirs(dir)
jpeg(paste(dir, plotType, "_ExceptionsPlot_", toEvaluate, "_", prec,".jpg", sep = ""))
par(mar=c(5,5,5,1))
barplot(m, names.arg = elemList, xlab="Exception", ylab="IF occurrence (%)", beside=TRUE,
cex.names=1.5, cex.lab=1.5, cex.axis=1.2, ylim=c(0,100),col=c("green","red"), main=paste("IF occurrence for ",getPrettyPrecision(prec)," SDGs ","(",plotType,")",sep=""))
legend("bottomleft",legend=c("Flow","No flow"),inset=c(-0.16,-0.19),xpd=TRUE,fill=c("green","red"))
dev.off()
}
generatePrecisionsBoxplot <- function(namesList, labelsList, plotType, exception, toEvaluate, form, excepFileName, yLim=c(), phase="1")
{
excepsTitlePart <- c(Yes="with", No="without")
baseExcepsTitle <- c("for SDGs", "exceptions", paste("(",plotType,")",sep=""))
logscales <- c("CGNodes"="y", "CGEdges"="y", "SDGNodes"="y", "SDGEdges"="y", "LineVios"="", "SdgCreated"="", "HasIfc"="")
dir <- paste(plots, "/phase", phase,"/boxplots/precisions/", toEvaluate, "/", sep="")
mkdirs(dir)
comp <- ""
if(!is.null(yLim))
{
comp <- paste("_yLim", toString(yLim[2]), sep="")
}
jpeg(paste(dir, plotType, "_PrecisionsPlot_", toEvaluate, "_", excepFileName, comp,".jpg", sep = ""))
title <- paste(labelsList[[toEvaluate]][length(labelsList[[toEvaluate]])],
baseExcepsTitle[1], excepsTitlePart[[exception]], baseExcepsTitle[2],
baseExcepsTitle[3],sep=" ")
boxplot(form, las=2, par(mar = c(9.5,5.2,2,0.7) + 0.1, cex.axis=0.9),
names=namesList, main=title, col="lightblue",log=logscales[[toEvaluate]], ylim=yLim)
mtext("Pointer Analysis",side=1, cex=1.4, font=2, line=8)
mtext(labelsList[[toEvaluate]][1],side=2, cex=1.4, font=2,line=3.8)
dev.off()
}
generateExceptionsBoxplot <- function(labelsList, plotType, precision, toEvaluate, form, yLim=c(), phase="1")
{
logscales <- c("CGNodes"="y", "CGEdges"="y", "SDGNodes"="y", "SDGEdges"="y", "LineVios"="")
dir <- paste(plots, "/phase", phase, "/boxplots/exceptions/", toEvaluate, "/", sep="")
mkdirs(dir)
yLimComp <- ""
if(!is.null(yLim))
{
yLimComp <- paste("_yLim",toString(yLim[2]),sep="")
}
jpeg(paste(dir, plotType, "_ExceptionsPlot_", toEvaluate, "_", precision, yLimComp, ".jpg", sep = ""))
baseTitle <- c("for", "SDGs")
title0 <- paste(labelsList[[toEvaluate]][length(labelsList[[toEvaluate]])], baseTitle[1], getPrettyPrecision(precision),
baseTitle[2], sep=" ")
title <- paste(title0, " (", plotType,")",sep="")
boxplot(form, xlab="Exception",ylab=labelsList[[toEvaluate]][1], main=title,
par(mar=c(5,5,5,1.5),cex.lab=1.5, cex.axis=1.5),col="lightblue",log=logscales[[toEvaluate]], ylim=yLim)
dev.off()
}
createMatrix <- function(frame, colType, elemList)
{
m <- matrix(nrow=2, ncol=length(elemList))
getIfcNum <- function(tab, elem){
if(elem %in% names(tab))
{
return(tab[[elem]])
}else{
return(0)
}
}
for(i in getPositiveRange(length(elemList)))
{
elem <- elemList[i]
specificList <- split(frame, frame[[colType]])[[elem]]
tab <- table(specificList$HasIfc)
hasIfc <- getIfcNum(tab, 'TRUE')
noIfc <- getIfcNum(tab, 'FALSE')
total <- hasIfc + noIfc
if(total > 0){
m[1,i] <- 100 * (hasIfc / total)
m[2,i] <- 100 * (noIfc / total)
}
}
return(m)
}
createIFByProjFrame <- function(frame, colType, elemList)
{
finalFrame <- data.frame(Project = character(), Elem=character(), IfRate=numeric(), stringsAsFactors=FALSE)
colnames(finalFrame)[2] <- c(colType)
splittedFrameByProj <- split(frame, frame$Project)
projs <- unique(frame$Project)
for(proj in projs)
{
projFrame <- splittedFrameByProj[[proj]]
hasIfc <- createMatrix(projFrame, colType, elemList)[1,]
for(elemIndex in getPositiveRange(length(elemList)))
{
row <- nrow(finalFrame) + 1
finalFrame[row,1] <- proj
finalFrame[row,2] <- elemList[elemIndex]
finalFrame[row,3] <- hasIfc[elemIndex]
}
}
return(finalFrame)
}
generatePrecisionPlots <- function(methodDf, revDf, toEvaluateList, labelsList, desiredExceptions=exceptions, desiredPrecisions=precisions, phase="1")
{
revDfSplittedByExceptions <- split(revDf, revDf$Exception)
methodDfSplittedByExceptions <- split(methodDf, methodDf$Exception)
excepsFileName <- c(Yes="excep",No="noExcep")
getNamesList <- function(precs)
{
precsMappings <- c("TYPE_BASED" = "TYPE_BASED", "INSTANCE_BASED" = "INSTANCE_BAS",
"OBJECT_SENSITIVE" = "OBJ_SENSITIVE", "N1_OBJECT_SENSITIVE" = "N1_OBJ_SENS",
"UNLIMITED_OBJECT_SENSITIVE" = "UNL_OBJ_SENS", "N1_CALL_STACK" = "N1_CALL_STACK",
"N2_CALL_STACK" = "N2_CALL_STACK", "N3_CALL_STACK" = "N3_CALL_STACK")
finalList <- c()
i <- 0
for(prec in precs){
i <- i + 1
finalList[i] <- precsMappings[prec]
}
return(finalList)
}
namesList <- getNamesList(desiredPrecisions)
#namesList <- c("TYPE_BASED", "INSTANCE_BAS", "OBJ_SENSITIVE", "N1_OBJ_SENS",
# "UNL_OBJ_SENS", "N1_CALL_STACK", "N2_CALL_STACK", "N3_CALL_STACK")
sdgCreatedDf <- getSdgCreatedDf(revDf)
sdgCreatedByProjDf <- getSdgCreatedByProj(sdgCreatedDf, desiredExceptions, desiredPrecisions)
sdgSucCreatedDf <- split(sdgCreatedDf, sdgCreatedDf$Created)[['TRUE']]
splittedSdgCreatedProjByExcep <- split(sdgCreatedByProjDf, sdgCreatedByProjDf$Exception)
splittedSdgCreateByExcep <- split(sdgSucCreatedDf, sdgSucCreatedDf$Exception)
revsHeader <- c("Project", "Rev")
for(exception in desiredExceptions)
{
excepFileName <- excepsFileName[[exception]]
sdgCreatedProjDfExcep <- splittedSdgCreatedProjByExcep[[exception]]
if(!is.null(sdgCreatedProjDfExcep))
{
generatePrecisionsBoxplot(namesList,labelsList, "Projs", exception, "SdgCreated",
sdgCreatedProjDfExcep$Rate ~ factor(sdgCreatedProjDfExcep$Precision, desiredPrecisions), excepFileName, phase=phase)
}
sdgCreatedDfExcep <- splittedSdgCreateByExcep[[exception]]
if(!is.null(sdgCreatedDfExcep)){
creationsDf <- setNames(aggregate(sdgCreatedDfExcep$Created ~ factor(sdgCreatedDfExcep$Precision, desiredPrecisions), FUN=length), c("Precision", "SdgCreations"))
generatePrecisionsBarplot(creationsDf$SdgCreations,"Revs", "SdgCreations", excepFileName, namesList, exception, phase=phase)
}
revDfException <- revDfSplittedByExceptions[[exception]]
if(!is.null(revDfException))
{
toEvaluate <- "HasIfc"
revDfExceptionFilt <- filterConfigsWithoutNa(toEvaluate, revsHeader, revDfException, length(desiredPrecisions))
generateGroupedPrecisionsBarplot(revDfExceptionFilt, "Precision", desiredPrecisions,"Revs", toEvaluate, excepFileName, namesList, exception, phase=phase)
revPrecisionsFactor <- factor(revDfExceptionFilt$Precision, desiredPrecisions)
ifRevFrame <- createIFByProjFrame(revDfExceptionFilt,'Precision', desiredPrecisions)
generatePrecisionsBoxplot(namesList,labelsList, "Revs", exception, toEvaluate, ifRevFrame$IfRate ~ factor(ifRevFrame$Precision, desiredPrecisions), excepFileName, phase=phase)
for(toEvaluate in toEvaluateList)
{
revDfExceptionFilt <- filterConfigsWithoutNa(toEvaluate, revsHeader, revDfException, length(desiredPrecisions))
revPrecisionsFactor <- factor(revDfExceptionFilt$Precision, desiredPrecisions)
generatePrecisionsBoxplot(namesList,labelsList, "Revs", exception, toEvaluate, revDfExceptionFilt[[toEvaluate]] ~ revPrecisionsFactor, excepFileName, phase=phase)
if(toEvaluate == "LineVios")
{
generatePrecisionsBoxplot(namesList,labelsList, "Revs", exception, toEvaluate, revDfExceptionFilt[[toEvaluate]] ~ revPrecisionsFactor, excepFileName, c(0,30), phase)
generatePrecisionsBoxplot(namesList,labelsList, "Revs", exception, toEvaluate, revDfExceptionFilt[[toEvaluate]] ~ revPrecisionsFactor, excepFileName, c(0,25), phase)
generatePrecisionsBoxplot(namesList,labelsList, "Revs", exception, toEvaluate, revDfExceptionFilt[[toEvaluate]] ~ revPrecisionsFactor, excepFileName, c(0,20), phase)
generatePrecisionsBoxplot(namesList,labelsList, "Revs", exception, toEvaluate, revDfExceptionFilt[[toEvaluate]] ~ revPrecisionsFactor, excepFileName, c(0,15), phase)
}
}
}
methodDfException <- methodDfSplittedByExceptions[[exception]]
if(!is.null(methodDfException))
{
toEvaluate <- "HasIfc"
methodDfExceptionFilt <- filterConfigsWithoutNa(toEvaluate, c("Project", "Rev", "Method"), methodDfException, length(desiredPrecisions))
generateGroupedPrecisionsBarplot(methodDfExceptionFilt, "Precision", desiredPrecisions, "Methods", toEvaluate, excepFileName, namesList, exception, phase=phase)
ifMethFrame <- createIFByProjFrame(methodDfExceptionFilt,'Precision', desiredPrecisions)
generatePrecisionsBoxplot(namesList,labelsList, "Methods", exception, toEvaluate, ifMethFrame$IfRate ~ factor(ifMethFrame$Precision, desiredPrecisions), excepFileName, phase=phase)
methPrecisionsFactor <- factor(methodDfExceptionFilt$Precision, desiredPrecisions)
generatePrecisionsBoxplot(namesList,labelsList, "Methods", exception, "LineVios", methodDfExceptionFilt$LineVios ~ methPrecisionsFactor, excepFileName, phase=phase)
generatePrecisionsBoxplot(namesList,labelsList, "Methods", exception, "LineVios", methodDfExceptionFilt$LineVios ~ methPrecisionsFactor, excepFileName, c(0,30), phase)
generatePrecisionsBoxplot(namesList,labelsList, "Methods", exception, "LineVios", methodDfExceptionFilt$LineVios ~ methPrecisionsFactor, excepFileName, c(0,25), phase)
generatePrecisionsBoxplot(namesList,labelsList, "Methods", exception, "LineVios", methodDfExceptionFilt$LineVios ~ methPrecisionsFactor, excepFileName, c(0,20), phase)
generatePrecisionsBoxplot(namesList,labelsList, "Methods", exception, "LineVios", methodDfExceptionFilt$LineVios ~ methPrecisionsFactor, excepFileName, c(0,15), phase)
}
}
}
generateExceptionPlots <- function(methodDf, revDf, toEvaluateList, labelsList)
{
revDfSplittedByPrecisions <- split(revDf, revDf$Precision)
methodDfSplittedByPrecisions <- split(methodDf, methodDf$Precision)
for(precision in precisions)
{
revDfPrecision <- revDfSplittedByPrecisions[[precision]]
toEvaluate <- "HasIfc"
revDfPrecisionFilt <- filterConfigsWithoutNa(toEvaluate, c("Project", "Rev"), revDfPrecision, length(exceptions))
generateExceptionsBarplot(revDfPrecisionFilt, "Exception", exceptions, "Revs", toEvaluate, precision)
for(toEvaluate in toEvaluateList)
{
revDfPrecisionFilt <- filterConfigsWithoutNa(toEvaluate, c("Project", "Rev"), revDfPrecision, length(exceptions))
generateExceptionsBoxplot(labelsList, "Revs", precision, toEvaluate, revDfPrecisionFilt[[toEvaluate]] ~ factor(revDfPrecisionFilt$Exception, exceptions))
if(toEvaluate == 'LineVios')
{
generateExceptionsBoxplot(labelsList, "Revs", precision, toEvaluate, revDfPrecisionFilt[[toEvaluate]] ~ factor(revDfPrecisionFilt$Exception, exceptions), c(0,30))
generateExceptionsBoxplot(labelsList, "Revs", precision, toEvaluate, revDfPrecisionFilt[[toEvaluate]] ~ factor(revDfPrecisionFilt$Exception, exceptions), c(0,25))
generateExceptionsBoxplot(labelsList, "Revs", precision, toEvaluate, revDfPrecisionFilt[[toEvaluate]] ~ factor(revDfPrecisionFilt$Exception, exceptions), c(0,20))
generateExceptionsBoxplot(labelsList, "Revs", precision, toEvaluate, revDfPrecisionFilt[[toEvaluate]] ~ factor(revDfPrecisionFilt$Exception, exceptions), c(0,15))
}
}
methodDfPrecision <- methodDfSplittedByPrecisions[[precision]]
methodDfPrecisionFilt <- filterConfigsWithoutNa("HasIfc", c("Project", "Rev", "Method"), methodDfPrecision, length(exceptions))
generateExceptionsBarplot(methodDfPrecisionFilt, "Exception", exceptions,"Methods", "HasIfc", precision)
methodDfPrecisionFilt <- filterConfigsWithoutNa("LineVios", c("Project", "Rev", "Method"), methodDfPrecision, length(exceptions))
generateExceptionsBoxplot(labelsList, "Methods", precision, "LineVios", methodDfPrecisionFilt$LineVios ~ factor(methodDfPrecisionFilt$Exception, exceptions))
generateExceptionsBoxplot(labelsList, "Methods", precision, "LineVios", methodDfPrecisionFilt$LineVios ~ factor(methodDfPrecisionFilt$Exception, exceptions),c(0,30))
generateExceptionsBoxplot(labelsList, "Methods", precision, "LineVios", methodDfPrecisionFilt$LineVios ~ factor(methodDfPrecisionFilt$Exception, exceptions),c(0,25))
generateExceptionsBoxplot(labelsList, "Methods", precision, "LineVios", methodDfPrecisionFilt$LineVios ~ factor(methodDfPrecisionFilt$Exception, exceptions),c(0,20))
generateExceptionsBoxplot(labelsList, "Methods", precision, "LineVios", methodDfPrecisionFilt$LineVios ~ factor(methodDfPrecisionFilt$Exception, exceptions),c(0,15))
}
}
toEvaluateList <- list("CGNodes", "CGEdges", "SDGNodes", "SDGEdges", "LineVios")
generateExecutionPlots <- function(methodDf, revDf)
{
if(nrow(revDf) > 0){
generatePrecisionPlots(methodDf, revDf, toEvaluateList, labelsList)
generateExceptionPlots(methodDf, revDf, toEvaluateList, labelsList)
}
}
calculateViosDiffList <- function(rowDetList, colDetList){
diffsList <- c(both="", onlyRow ="", onlyCol="")
rowDetViosList <- splitDetVios(rowDetList)
colDetViosList <- splitDetVios(colDetList)
if(length(rowDetViosList) > 0)
{
for(str in rowDetViosList)
{
if(str %in% colDetViosList)
{
diffsList[['both']] <- ifelse(diffsList[['both']] == "", str, paste(diffsList[['both']], str, sep=";"))
}else{
diffsList[['onlyRow']] <- ifelse(diffsList[['onlyRow']] == "", str, paste(diffsList[['onlyRow']], str, sep=";"))
}
}
}
if(length(colDetViosList) > 0)
{
for(str in colDetViosList)
{
if(!(str %in% rowDetViosList))
{
diffsList[['onlyCol']] <- ifelse(diffsList[['onlyCol']] == "", str, paste(diffsList[['onlyCol']], str, sep=";"))
}
}
}
return(diffsList)
}
splitDetVios <- function(detVios){
str <- toString(detVios)
substr <- substr(str, 2, nchar(str) - 1)
expr <- "([a-z]|[A-Z])[^\\(\\)]*\\([^\\(\\)]*\\) \\(line [0-9]+\\) -> [^\\(\\)]*\\([^\\(\\)]*\\) \\(line [0-9]+\\)"
m <- gregexpr(expr, substr, perl=TRUE)
return(regmatches(substr, m)[[1]])
}
createPrecByPrecTable <- function(precisions){
lenPrec <- length(precisions)
m <- matrix(nrow=lenPrec, ncol=lenPrec)
rownames(m) <- precisions
colnames(m) <- precisions
return(m)
}
generateSummaryBoxplot <- function(values, name, ylabel, title, base="", comp="")
{
dir <- paste(plots, base, "/summary/boxplots/", sep="")
mkdirs(dir)
jpeg(paste(dir, name, comp,".jpg", sep = ""))
par(mar = c(2,5,5,1.5), cex.lab=1.5, cex.axis=1.5)
boxplot(values, ylab=ylabel, main=title, col="lightblue")
dev.off()
}
generateMethodsPerProjectBoxplot <- function(evalMethodsPerProject, base="", comp="")
{
dir <- paste(plots, base, "/summary/boxplots/", sep="")
mkdirs(dir)
jpeg(paste(dir, "Methods_Per_Project", comp, ".jpg", sep = ""))
par(mar = c(5,5,5,1.5), cex.lab=1.5, cex.axis=1.5)
boxplot(evalMethodsPerProject$median, evalMethodsPerProject$sum, ylab="Methods",
xlab="Project level statistic",
main="Methods per project", col="lightblue", names=c("Median (* revs)", "Sum"))
dev.off()
}
getSdgCreatedDf <- function(revDf)
{
df <- data.frame(Project=character(), Rev=character(), Precision=character(), Exception=character(), HasSourceAndSink=logical(), Created=logical(), BothEdited=logical(),stringsAsFactors=FALSE)
for(i in getPositiveRange(nrow(revDf)))
{
row <- revDf[i,]
df[i,1] <- row$Project
df[i,2] <- row$Rev
df[i,3] <- row$Precision
df[i,4] <- row$Exception
df[i,5] <- row$HasSourceAndSink
df[i,6] <- !is.na(row$SDGNodes) && !is.na(row$SDGEdges)
}
return(df)
}
getSdgCreatedByProj <- function(df, exceptions=exceptions, precisions=precisions)
{
projDf <- data.frame(Project=character(), Precision=character(), Exception=character(), Rate=numeric(), stringsAsFactors=FALSE)
splittedDfByProj <- split(df, df$Project)
for(i in getPositiveRange(length(unique(df$Project))))
{
proj <- unique(df$Project)[i]
projLines <- splittedDfByProj[[proj]]
splittedProjLines <- NULL
if(!is.null(projLines))
{
splittedProjLines <- split(projLines, list(projLines$Precision, projLines$Exception))
}
for(exception in exceptions)
{
for(precision in precisions)
{
precExcepLines <- NULL
if(!is.null(splittedProjLines))
{
precExcepLines <- splittedProjLines[[paste(precision, exception, sep=".")]]
splitBySdgCreated <- split(precExcepLines, precExcepLines$Created)
createdSdg <- getNRow(splitBySdgCreated[['TRUE']])
rate <- 100 * (createdSdg / (createdSdg + getNRow(splitBySdgCreated[['FALSE']])))
newLineNum <- nrow(projDf) + 1
projDf[newLineNum, 1] <- proj
projDf[newLineNum, 2] <- precision
projDf[newLineNum, 3] <- exception
projDf[newLineNum, 4] <- rate
}
}
}
}
return(projDf)
}
getFilteredConfigsWithoutNa <- function(df, uniqueCrit, toEvaluateList, numberOfConfigs = 16)
{
filteredDfsList <- c()
for(toEvaluateIndex in getPositiveRange(length(toEvaluateList)))
{
toEvaluate <- toEvaluateList[[toEvaluateIndex]]
filteredDfsList[[paste(toEvaluate, collapse="&")]] <- filterConfigsWithoutNa(toEvaluate, uniqueCrit, df, numberOfConfigs)
}
return(filteredDfsList)
}
doStatisticTests <- function(filteredRevDfsList, filteredMethodDfsList, toEvalList = toEvaluateList)
{
library('coin')
#library('exactRankTests')
toEvaluateResList <- c()
for(toEvaluate in toEvalList)
{
filteredRevDf <- filteredRevDfsList[[toEvaluate]]
toEvaluateResList[[toEvaluate]] <- doStatisticTestException(toEvaluate,filteredRevDf)
}
filteredMethodDf <- filteredMethodDfsList[['LineVios']]
methodResList <- list('LineVios'=doStatisticTestException('LineVios', filteredMethodDf))
return(list('Rev'=toEvaluateResList, 'Method'=methodResList))
}
doStatisticTestException <- function(toEvaluate, filteredDf)
{
res <- c()
splittedFiltDf <- split(filteredDf, filteredDf$Exception)
splittedYesFiltDf <- splittedFiltDf$Yes
splittedNoFiltDf <- splittedFiltDf$No
toEvaluateYes <- splittedYesFiltDf[[toEvaluate]]
toEvaluateNo <- splittedNoFiltDf[[toEvaluate]]
hasDiff <- Reduce('|', (toEvaluateYes - toEvaluateNo) != 0)
if(!is.null(hasDiff) && hasDiff)
{
shapTestYes <- shapiro.test(toEvaluateYes)
shapTestNo <- shapiro.test(toEvaluateNo)
shapTestRes <- c('Yes'=shapTestYes, 'No'=shapTestNo)
wilcoxTest <- wilcox.test(toEvaluateYes, toEvaluateNo, paired = TRUE, exact=FALSE, alternative="greater",conf.level=0.95)
#wilcoxExact <- wilcox.exact(toEvaluateYes, toEvaluateNo, paired = TRUE, exact = TRUE, alternative="greater",conf.level=0.95)
wilcoxSignTest <- wilcoxsign_test(toEvaluateYes ~ toEvaluateNo, zero.method="Wilcoxon", dist="exact", alternative="greater",conf.level=0.95)
wilcoxSignTestPratt <- wilcoxsign_test(toEvaluateYes ~ toEvaluateNo, dist="exact", alternative="greater",conf.level=0.95)
wilcoxTestRes <- c('WilcoxTest'=wilcoxTest, 'WilcoxSignTest'=wilcoxSignTest, 'WilcoxSignTestPratt'=wilcoxSignTestPratt)
res <- list('HasDiff'=hasDiff, 'Normality'=shapTestRes, 'Th'=wilcoxTestRes)
}else{
res <- list('HasDiff'=hasDiff)
}
return(res)
}
generateSummaryPlots <- function(revDf, methodDf, base="", comp="")
{
evalRevDf <- unique(revDf[c("Project","Rev")])
evalProjects <- unique(evalRevDf$Project)
evalRevsSplittedByProject <- split(evalRevDf, evalRevDf$Project)
evalRevsPerProject <- data.frame(project=character(), revs=numeric(), stringsAsFactors=FALSE)
if(!is.null(methodDf))
{
evalMethodDf <- unique(methodDf[c("Project", "Rev","Method")])
evalMethodsSplittedByProject <- split(evalMethodDf, evalMethodDf$Project)
evalMethodsPerRev <- data.frame(project=character(), rev=character(), methods=numeric(), stringsAsFactors=FALSE)
evalMethodsPerProject <- data.frame(project=character(),median=numeric(), sum=numeric(), stringsAsFactors=FALSE)
}
for(i in getPositiveRange(length(evalProjects)))
{
proj <- evalProjects[i]
evalRevsPerProject[i,1] <- proj
revs <- evalRevsSplittedByProject[[proj]]
evalRevsPerProject[i,2] <- nrow(revs)
if(!is.null(methodDf))
{
projectMethods <- evalMethodsSplittedByProject[[proj]]
splittedRevs <- split(projectMethods, projectMethods$Rev)
methods <- c()
for(rev in revs[,2])
{
revMethods <- nrow(splittedRevs[[rev]])
methods <- appendToList(methods, revMethods)
evalMethodsRow <- nrow(evalMethodsPerRev) + 1
evalMethodsPerRev[evalMethodsRow, 1] <- proj
evalMethodsPerRev[evalMethodsRow, 2] <- rev
evalMethodsPerRev[evalMethodsRow, 3] <- revMethods
}
numRevs <- length(revs[,2])
evalMethodsPerProject[i,1] <- proj
evalMethodsPerProject[i,2] <- numRevs * median(methods)
evalMethodsPerProject[i,3] <- sum(methods)
}
}
generateSummaryBoxplot(evalRevsPerProject$revs, "Revs_Per_Project", "Revisions", "Evaluated revisions per project", base, comp)
if(!is.null(methodDf))
{
generateSummaryBoxplot(evalMethodsPerRev$methods, "Methods_Per_Rev", "Methods", "Evaluated methods per revision", base, comp)
generateMethodsPerProjectBoxplot(evalMethodsPerProject, base, comp)
}
}
generateDataSummaryPlots <- function(evalRevDf, evalMethodDf, builtRevDf, totalRevDf)
{
projsWithMerge <- totalRevDf[!is.na(totalRevDf$Revs) & totalRevDf$Revs > 0,]
projESMCRate <- data.frame(project=character(), rate=numeric(), stringsAsFactors=FALSE)
for(i in getPositiveRange(nrow(projsWithMerge)))
{
proj <- projsWithMerge[i,1]
editsamemc_revs <- nrow(builtRevDf[builtRevDf$Project == proj,])
projESMCRate[i,1] <- proj
projESMCRate[i,2] <- 100 * (editsamemc_revs / projsWithMerge[i,2])
}
builtProjectsRates <- data.frame(project=character(), rate=numeric(), stringsAsFactors=FALSE)
builtProjects <- unique(builtRevDf$Project)
splittedBuiltProjects <- split(builtRevDf, builtRevDf$Project)
for(i in getPositiveRange(length(builtProjects)))
{
builtProject <- builtProjects[i]
builtProjectsLines <- splittedBuiltProjects[[builtProject]]
splittedBuiltRevDf <- split(builtProjectsLines, builtProjectsLines$Built)
builtProjectsRates[i, 1] <- builtProject
successCases <- getNRow(splittedBuiltRevDf[['TRUE']])
builtProjectsRates[i, 2] <- 100 * (successCases / (successCases + getNRow(splittedBuiltRevDf[['FALSE']])))
}
generateSummaryPlots(evalRevDf, evalMethodDf)
generateSummaryBoxplot(builtProjectsRates$rate, "Projects_Build_Rates","Build success (%)", "Build success per project")
#generateSummaryBoxplot(projESMCRate$rate, "Projects_ESMC_Rates","Edit Same Mc (%)", "Edit Same MC per project")
}
printDataSummary <- function(revDf, methodDf, evalRevDf, evalMethodDf, builtRevDf, totalRevsDf, editSameMcRevsDf, revFiltDf, methodFiltDf){
mkdirs(rDir)
summaryFil <- paste(rDir, "summary.txt", sep="/")
if(!file.exists(summaryFil))
{
file.create(summaryFil)
}
projsWithMerge <- totalRevsDf[!is.na(totalRevsDf$Revs) & totalRevsDf$Revs > 0,]
projsWithConfESMC <- totalRevsDf[!is.na(totalRevsDf$Revs) & totalRevsDf$Revs > 0 & !is.na(totalRevsDf$EditSameMcConflicts) &
totalRevsDf$EditSameMcConflicts > 0,]
projsWithESMC <- length(unique(editSameMcRevsDf$Project))
esMcConfRevs <- sum(projsWithConfESMC$EditSameMcConflicts)
esMcRevs <- getNRow(editSameMcRevsDf)
buildRunProjects <- length(unique(builtRevDf$Project))
splittedBuiltRevDf <- split(builtRevDf, builtRevDf$Built)
successBuiltRevDf <- splittedBuiltRevDf[['TRUE']]
buildSuccessProjects <- length(unique(successBuiltRevDf$Project))
sdgCreatedDf <- getSdgCreatedDf(revDf)
filtSdgCreatedDf <- getSdgCreatedDf(revFiltDf)
sdgSuccessCreatedDf <- split(sdgCreatedDf, sdgCreatedDf$Created)[['TRUE']]
filtSdgSuccessCreatedDf <- split(filtSdgCreatedDf, filtSdgCreatedDf$Created)[['TRUE']]
sdgCreatedProjs <- length(unique(sdgSuccessCreatedDf$Project))
buildRunRevs <- nrow(builtRevDf)
buildSuccessRevs <- getNRow(successBuiltRevDf)
buildFailedRevs <- getNRow(splittedBuiltRevDf[['FALSE']])
buildResultSum <- buildSuccessRevs + buildFailedRevs
buildSuccessRate <- ifelse(buildResultSum > 0, paste(100 * (buildSuccessRevs / buildResultSum),"%",sep=""), "-")
sdgCreatedRevs <- unique(sdgSuccessCreatedDf[c("Project", "Rev")])
numSdgCreatedRevs <- getNRow(sdgCreatedRevs)
hasGradleRevs <- split(builtRevDf, builtRevDf$HasGradle)[['TRUE']]
hasAntRevs <- split(builtRevDf, builtRevDf$HasAnt)[['TRUE']]
hasMvnRevs <- split(builtRevDf, builtRevDf$HasMvn)[['TRUE']]
revsWithGradle <- getNRow(hasGradleRevs)
revsWithAnt <- getNRow(hasAntRevs)
revsWithMvn <- getNRow(hasMvnRevs)
projsWithGradle <- length(unique(hasGradleRevs$Project))
projsWithAnt <- length(unique(hasAntRevs$Project))
projsWithMvn <- length(unique(hasMvnRevs$Project))
moreThanOneBuild <- builtRevDf[(builtRevDf$HasGradle == TRUE & builtRevDf$HasAnt == TRUE) |
(builtRevDf$HasGradle == TRUE & builtRevDf$HasMvn == TRUE) |
(builtRevDf$HasAnt == TRUE & builtRevDf$HasMvn == TRUE),]
projsWithMoreThanOneBuild <- length(unique(moreThanOneBuild$Project))
evalRevs <- nrow(evalRevDf)
evalMethods <- nrow(evalMethodDf)
revsSplitByHasSrcAndSink <- split(revDf, revDf$HasSourceAndSink)
revsWithSrcAndSink <- revsSplitByHasSrcAndSink[['Yes']]
revsWithoutSrcAndSink <- revsSplitByHasSrcAndSink[['No']]
numRevSrcAndSink <- getNRow(unique(revsWithSrcAndSink[c("Project","Rev")]))
numRevWithoutSrcAndSink <- getNRow(unique(revsWithoutSrcAndSink[c("Project","Rev")]))
methodsSplitByHasSrcAndSink <- split(methodDf, methodDf$HasSourceAndSink)
methodsWithSrcAndSink <- methodsSplitByHasSrcAndSink[['Yes']]
unMethodsWithSrcAndSink <- unique(methodsWithSrcAndSink[c("Project","Rev","Method")])
methodsWithoutSrcAndSink <- methodsSplitByHasSrcAndSink[['No']]
unMethodsWithoutSrcAndSink <- unique(methodsWithoutSrcAndSink[c("Project","Rev","Method")])
numMethodSrcAndSink <- getNRow(unMethodsWithSrcAndSink)
numMethodWithoutSrcAndSink <- getNRow(setdiff(unMethodsWithoutSrcAndSink,unMethodsWithSrcAndSink))
#print(unMethodsWithSrcAndSink)
#print(unMethodsWithoutSrcAndSink)
methodsWithBoth <- 0
if(!is.null(unMethodsWithoutSrcAndSink))
{
for(r in getPositiveRange(nrow(unMethodsWithoutSrcAndSink)))
{
proj <- unMethodsWithoutSrcAndSink[r,1]
rev <- unMethodsWithoutSrcAndSink[r,2]
method <- unMethodsWithoutSrcAndSink[r,3]
lines <- which(methodDf$Project == proj & methodDf$Rev == rev & methodDf$Method == method)
if(Reduce('|',methodDf[lines, ]$HasLeftAndRight))
{
methodsWithBoth <- methodsWithBoth + 1
}
}
}
splittedBuiltWith <- split(builtRevDf, builtRevDf$BuiltWith)
builtWithGradle <- splittedBuiltWith[['Gradle']]
builtWithAnt <- splittedBuiltWith[['Ant']]
builtWithMvn <- splittedBuiltWith[['Maven']]
projsWithMoreThanOneBuildUsed <- 0
if(!is.null(successBuiltRevDf))
{
builtRevDfSplittedByProj <- split(successBuiltRevDf, successBuiltRevDf$Project)
for(proj in unique(successBuiltRevDf$Project))
{
buildSystems <- length(unique(builtRevDfSplittedByProj[[proj]]$BuiltWith))
if(buildSystems > 1)
{
projsWithMoreThanOneBuildUsed <- projsWithMoreThanOneBuildUsed + 1
}
}
}
numConfigs <- length(precisions) * length(exceptions)
numFiltConfigs <- length(phase2Precisions) * length(phase2Exceptions)
numMethods <- nrow(methodDf) / numConfigs
sdgSucCreationsForAll <- function(sdgSuccessCreatedDf, numOfConfigs)
{
sdgSuccessCreations <- data.frame(Project=character(), Rev=character(),Creations=numeric(), stringsAsFactors=FALSE)
if(!is.null(sdgSuccessCreatedDf))
{
sdgSuccessCreations <- setNames(aggregate(sdgSuccessCreatedDf$Created, by = list(sdgSuccessCreatedDf$Project, sdgSuccessCreatedDf$Rev), FUN=length), c("Project", "Rev", "Creations"))
}
return(sdgSuccessCreations[sdgSuccessCreations$Creations == numOfConfigs,])
}
sucCreationsForAllDf <- sdgSucCreationsForAll(sdgSuccessCreatedDf, numConfigs)
revsWithSdgCreatedForAll <- getNRow(sucCreationsForAllDf)
sucCreationsForAllFiltDf <- sdgSucCreationsForAll(filtSdgSuccessCreatedDf, numFiltConfigs)
revsWithSdgCreatedForAllFilt <- getNRow(sucCreationsForAllFiltDf)
allNotNaDf <- data.frame(Project=character(),Rev=character(),Method=character(),stringsAsFactors=FALSE)
filtNotNaDf <- data.frame(Project=character(),Rev=character(),Method=character(),stringsAsFactors=FALSE)
someNotNaDf <-data.frame(Project=character(),Rev=character(),Method=character(),stringsAsFactors=FALSE)
numNonNaLineVios <- 0
numAllNonNaLineVios <- 0
numFiltNonNaLineVios <- 0
numMethodsSomeSdgCreated <- 0
numMethodsAllSdgCreatedFilt <- 0
numMethodsAllSdgCreated <- 0
containsRev <- function(df, proj, rev)
{
return(getNRow(df[df$Project == proj & df$Rev == rev,]) > 0)
}
for(i in getPositiveRange(numMethods))
{
offset <- (numConfigs * (i - 1))
start <- 1 + offset
end <- start + numConfigs - 1
if(!(all(is.na(methodDf$LineVios[start:end])))){
numNonNaLineVios <- numNonNaLineVios + 1
someNotNaDf[numNonNaLineVios,] <- methodDf[start, 1:3]
}
if(all(!is.na(methodDf$LineVios[start:end])))
{
numAllNonNaLineVios <- numAllNonNaLineVios + 1
allNotNaDf[numAllNonNaLineVios,] <- methodDf[start,1:3]
}
offset2 <- (numFiltConfigs * (i - 1))
start2 <- 1 + offset2
end2 <- start2 + numFiltConfigs - 1
if(all(!is.na(methodFiltDf$LineVios[start2:end2])))
{
numFiltNonNaLineVios <- numFiltNonNaLineVios + 1
filtNotNaDf[numFiltNonNaLineVios,] <- methodFiltDf[start2,1:3]
}
methodLine <- methodDf[start,]
methodProject <- methodLine$Project
methodRev <- methodLine$Rev
if(containsRev(sdgCreatedRevs, methodProject, methodRev))
{
numMethodsSomeSdgCreated <- numMethodsSomeSdgCreated + 1
}
if(containsRev(sucCreationsForAllFiltDf, methodProject, methodRev))
{
numMethodsAllSdgCreatedFilt <- numMethodsAllSdgCreatedFilt + 1
}
if(containsRev(sucCreationsForAllDf, methodProject, methodRev))
{
numMethodsAllSdgCreated <- numMethodsAllSdgCreated + 1
}
}
#print(someNotNaDf)
#print(allNotNaDf)
mergeRunRevs <- sum(projsWithMerge$Revs)
lines <- c(
paste("Total Projects:",total_projects),
paste("Projects with merge executed:",getNRow(projsWithMerge)),
paste("Projects with revs with edit same mc merge conflicts:", getNRow(projsWithConfESMC)),
paste("Projects with revs with edit same mc and no merge conflicts:",projsWithESMC),
paste("Projects with build executed:", buildRunProjects),
paste("Projects with build success revs:", buildSuccessProjects),
paste("Projects with Gradle:", projsWithGradle),
paste("Projects with Ant:", projsWithAnt),
paste("Projects with Mvn:", projsWithMvn),
paste("Projects with revs successfully built using Gradle:", length(unique(builtWithGradle$Project))),
paste("Projects with revs successfully built using Ant:", length(unique(builtWithAnt$Project))),
paste("Projects with revs successfully built using Maven:", length(unique(builtWithMvn$Project))),
paste("Projects with different build systems:", projsWithMoreThanOneBuild),
paste("Projects built with different build systems:",projsWithMoreThanOneBuildUsed),
paste("Projects with Sdg Created for at least one config:", sdgCreatedProjs),
paste("Projects with Sdg Created for all phase 2 configs:", length(unique(sucCreationsForAllFiltDf$Project))),
paste("Projects with Sdg Created for all configs:", length(unique(sucCreationsForAllDf$Project))),
paste("Project with LineVios calculated for at least one config:",length(unique(someNotNaDf$Project))),
paste("Project with LineVios calculated for all phase 2 configs:",length(unique(filtNotNaDf$Project))),
paste("Project with LineVios calculated for all configs:",length(unique(allNotNaDf$Project))),
paste("Revs with merge executed:", mergeRunRevs),
paste("Revs with non java conflicts only:", sum(projsWithMerge$ConflictsNonJava)),
paste("Revs with java conflicts:", sum(projsWithMerge$ConflictsJava)),
paste("Revs with edit same mc conflicts:",esMcConfRevs),
paste("Revs with edit same mc and no conflicts:", esMcRevs),
paste("Revs with build executed:", buildRunRevs),
paste("Revs with build success:", buildSuccessRevs),
paste("Revs with build failure:", buildFailedRevs),
paste("Revs build success rate: ", buildSuccessRate,sep=""),
paste("Revs with Gradle:", revsWithGradle),
paste("Revs successfully built with Gradle:", getNRow(builtWithGradle)),
paste("Revs with Ant:", revsWithAnt),
paste("Revs successfully built with Ant:", getNRow(builtWithAnt)),
paste("Revs with Maven:", revsWithMvn),
paste("Revs successfully built with Maven:", getNRow(builtWithMvn)),
paste("Revs evaluated by Joana:", evalRevs),
paste("Revs with Sdg Created for at least one config: ", numSdgCreatedRevs),
paste("Revs with Sdg Created for all phase 2 configs: ", revsWithSdgCreatedForAllFilt),
paste("Revs with Sdg Created for all configs: ", revsWithSdgCreatedForAll),
paste("Revs containing methods with source and sink:", numRevSrcAndSink),
paste("Revs not containing methods with source and sink:", numRevWithoutSrcAndSink),
paste("Revs with Line Vios calculated for at least one config:",getNRow(unique(someNotNaDf[c("Project", "Rev")]))),
paste("Revs with Line Vios calculated for all phase 2 configs:",getNRow(unique(filtNotNaDf[c("Project", "Rev")]))),
paste("Revs with Line Vios calculated for all configs:",getNRow(unique(allNotNaDf[c("Project", "Rev")]))),
paste("Methods evaluated by Joana:", evalMethods),
paste("Methods with Sdg Created for at least one config: ", numMethodsSomeSdgCreated),
paste("Methods with Sdg Created for all phase 2 configs: ", numMethodsAllSdgCreatedFilt),
paste("Methods with Sdg Created for all configs: ", numMethodsAllSdgCreated),
paste("Methods with source and sink:", numMethodSrcAndSink),
paste("Methods without source or sink:",numMethodWithoutSrcAndSink),
paste("Methods without source or sink with lines contribution from left and right:",methodsWithBoth),
paste("Methods with LineVios calculated for at least one config:", numNonNaLineVios),
paste("Methods with LineVios calculated for all phase 2 configs:", numFiltNonNaLineVios),
paste("Methods with LineVios calculated for all configs:", numAllNonNaLineVios)
)
for(line in lines)
{
print(line)
}
fileConn <- file(summaryFil)
writeLines(lines, fileConn)
close(fileConn)
#print(paste("Revs edit same mc rate: ", 100 * (buildRunRevs / mergeRunRevs),"%",sep=""))
}
revs_by_project <- c()
methods_by_projectRev <- c()
methods_projectRev_by_excep <- c()
simDetViosTablePerMethodExcep <- c()
diffDetViosTablePerMethodExcep <- c()
sumDetViosTable <- c()
numDetViosTable <- c()
numDetViosTableFilt <- c()
csvs <- c()
methodsInfoDf <- data.frame(Project=character(), Index=numeric(), Rev=character(), Method=character(), NumOfLines=numeric(), stringsAsFactors=FALSE)
editSameMcRevsDf <- data.frame(Project=character(), Rev=character(), stringsAsFactors=FALSE)
revDf <- data.frame(Project=character(), Rev=character(), Precision=character(), Exception=character(),
SDGNodes=numeric(),SDGEdges=numeric(), CGNodes=numeric(), CGEdges=numeric(), HasSourceAndSink=character(), LineVios=numeric(), HasIfc=logical(), IFCs=numeric(), stringsAsFactors=FALSE)
methodDf <- data.frame(Project=character(), Rev=character(), Method=character(), Precision=character(), Exception=character(),
HasSourceAndSink=character(),LineVios=numeric(), HasIfc=logical(),
IFCs=numeric(),Left=character(), Right=character(), HasLeftAndRight=logical(), stringsAsFactors=FALSE)
evalRevDf0 <- data.frame(Project=character(),Rev=character(), stringsAsFactors=FALSE)
evalRevDf <- data.frame(Project=character(),Rev=character(), stringsAsFactors=FALSE)
evalMethDf <- data.frame(Project=character(),Rev=character(), Method=character(), stringsAsFactors=FALSE)
builtRevDf <- data.frame(Project=character(), Rev=character(), Built=logical(),
HasGradle=logical(), HasAnt=logical(),HasMvn=logical(), BuiltWith=character(),stringsAsFactors=FALSE)
totalRevsDf <- data.frame(Project=character(), Revs=numeric(), ConflictsNonJava=numeric(), ConflictsJava=numeric(), EditSameMcConflicts=numeric(), stringsAsFactors=FALSE)
sumDetViosTable$Yes$both <- createPrecByPrecTable(precisions)
sumDetViosTable$Yes$diff <- createPrecByPrecTable(precisions)
sumDetViosTable$No$both <- createPrecByPrecTable(precisions)
sumDetViosTable$No$diff <- createPrecByPrecTable(precisions)
numDetViosTable$Yes$both <- createPrecByPrecTable(precisions)
numDetViosTable$Yes$diff <- createPrecByPrecTable(precisions)
numDetViosTable$No$both <- createPrecByPrecTable(precisions)
numDetViosTable$No$diff <- createPrecByPrecTable(precisions)
numDetViosTableFilt$No$both <- createPrecByPrecTable(phase2Precisions)
numDetViosTableFilt$No$diff <- createPrecByPrecTable(phase2Precisions)
buildStrToBool <- function(str){return(str=="True")}
for(p in getPositiveRange(length(projects))){
project <- projects[p]
project_name <- strsplit(project, "/")[[1]][2]
revs_by_project[[project_name]] <- list()
print(project_name)
projectReport <- paste(result_data, project_name, "ProjectReport.csv",sep="/")
totalRevsDf[p,1] <- project_name
if(file.exists(projectReport))
{
projRepCsv <- read.csv(projectReport, header=TRUE, sep=",", strip.white=TRUE, stringsAsFactors=FALSE)
totalRevsDf[p,2] <- projRepCsv[["Merge_Scenarios"]]
totalRevsDf[p,3] <- projRepCsv[["Conflicting_Scenarios_Non_Java_Only"]]
totalRevsDf[p,4] <- projRepCsv[["Conflicting_Scenarios_Java"]]
confEsMC <- projRepCsv[['Conflicting_Scenarios_Java_EditSameMC']]
if(!is.null(confEsMC))
{
totalRevsDf[p,5] <- confEsMC
}
}
project_reports_dir <- paste(reports, project_name,sep="/")
editSameMc <- paste(project_reports_dir, "editSameMCcontribs.csv",sep="/")
if(file.exists(editSameMc))
{
editSameMcCsv <- read.csv(editSameMc, header = TRUE, sep=";", strip.white=TRUE, stringsAsFactors=FALSE)
for(row in getPositiveRange(nrow(editSameMcCsv)))
{
methodInfoDfNewLen <- nrow(methodsInfoDf) + 1
fullRow <- editSameMcCsv[row,]
methodsInfoDf[methodInfoDfNewLen,] <- c(project_name, fullRow$Index, fullRow$Revision, fullRow$Signature, fullRow[['Number.of.Lines']])
}