def experiemnt_one(dbFileName, meanFlag, outputStrParam):
print "Performing experiment # 1"
#import correlation as corr_
versionAndCodeQualityDict = DEFT.getValuesFrom_CodingStandard(dbFileName)
sanitizedVersions = sanityCheck.getCodeQualityofVersions(
versionAndCodeQualityDict, meanFlag)
print "Sanitized versions that will be used in study ", len(
sanitizedVersions)
#print "Sanitized versions ..." , sanitizedVersions
sanitizedVersionsWithScore = sanityCheck.getVulnerbailityScoreOfSelectedVersions(
sanitizedVersions)
'''
Stats on risk score-->len=721, median=51.1111111111, mean=38.0255199862, max=53.3333333333, min=0.0,
'''
riskStatus = sanityCheck.getVulnerbailityScoreStatus(
sanitizedVersionsWithScore)
if meanFlag:
threshold = riskStatus[0] ## first returned index is mean
else:
threshold = riskStatus[1]
##############################
sanitizedVersions_CQ = sanitizedVersions
####### high vScore versions started
high_CQ_dict = utility.getHighVScoreVersions_CQ(sanitizedVersionsWithScore,
sanitizedVersions_CQ,
threshold)
high_vScore_Dict = utility.getHighVScoreVersions_VScore(
sanitizedVersionsWithScore, threshold)
print "high_vscore_versions ", len(high_vScore_Dict)
####### high vScore versions ended
####### low vScore versions started
low_CQ_dict = utility.getLowVScoreVersions_CQ(sanitizedVersionsWithScore,
sanitizedVersions_CQ,
threshold)
low_vScore_Dict = utility.getLowVScoreVersions_VScore(
sanitizedVersionsWithScore, threshold)
print "len_vscore_versions ", len(low_vScore_Dict)
####### low vScore versions ended
##### dumpin time
### three ways: first by dumping all highs then all lows
themegaFile_Seperated = outputStrParam + "_" + "all-CQ-HL-Seperated.csv"
IO_.dumpIntoFileByHighAndLow(themegaFile_Seperated, high_CQ_dict,
low_CQ_dict)
### three ways : second by dumping as it si
themegaFile_All = outputStrParam + "_" + "all-CQ-HL.csv"
IO_.dumpIntoFile(themegaFile_All, sanitizedVersions_CQ,
sanitizedVersionsWithScore, threshold, False)
LGR.performLogiRegression(themegaFile_All)
def experiemnt_two(dbFileName, meanFlag, outputStrParam ): print "Performing experiemnt # 2" #import correlation as corr_ versionAndCodeQualityDict = DEFT.getValuesFrom_CodingStandard(dbFileName) sanitizedVersions = sanityCheck.getCodeQualityofVersions(versionAndCodeQualityDict, meanFlag) print "Sanitized versions that will be used in study ", len(sanitizedVersions) #print "Sanitized versions ..." , sanitizedVersions NonZero_sanitizedVersionsWithScore = sanityCheck.getNonZeroVulnerbailityScoreOfSelectedVersions(sanitizedVersions) ''' Stats on risk score (non-zero elemnts)-->len=549, median=51.1111111111, mean=49.9387976503, max=53.3333333333, min=15.0 ''' ############################## sanitizedVersions_CQ = sanitizedVersions riskStatus = sanityCheck.getVulnerbailityScoreStatus(NonZero_sanitizedVersionsWithScore) if meanFlag: threshold = riskStatus[0] ## first returned index is mean else: threshold = riskStatus[1] ####### high vScore versions started high_CQ_dict = utility.getHighVScoreVersions_CQ( NonZero_sanitizedVersionsWithScore , sanitizedVersions_CQ , threshold) high_vScore_Dict = utility.getHighVScoreVersions_VScore(NonZero_sanitizedVersionsWithScore, threshold) print "non zero high_vscore_versions ", len(high_vScore_Dict) ####### high vScore versions ended ####### low vScore versions started low_CQ_dict = utility.getLowVScoreVersions_CQ( NonZero_sanitizedVersionsWithScore , sanitizedVersions_CQ , threshold) low_vScore_Dict = utility.getLowVScoreVersions_VScore(NonZero_sanitizedVersionsWithScore, threshold) print "non zero len_vscore_versions ", len(low_vScore_Dict) ####### low vScore versions ended ##### dumpin time ### three ways: first by dumping all highs then all lows themegaFile_Seperated = outputStrParam + "_" + "non_zero_all-CQ-HL-Seperated.csv" IO_.dumpIntoFileByHighAndLow( themegaFile_Seperated, high_CQ_dict, low_CQ_dict ) ### three ways : second by dumping as it si themegaFile_All = outputStrParam + "_" + "non_zero_all-CQ-HL.csv" IO_.dumpIntoFile( themegaFile_All,sanitizedVersions_CQ , NonZero_sanitizedVersionsWithScore, threshold, False ) LGR.performLogiRegression(themegaFile_All)
sanitizedVersions_CQ = sanityCheck.getCodeQualityofVersions(
versionAndCodeQualityDict)
print "Sanitized versions that will be used in study ", len(
sanitizedVersions_CQ)
#print "Sanitized versions ..." , sanitizedVersions
##### all the vulnerability versions started
sanitizedVersionsWithScore = sanityCheck.getVulnerbailityScoreOfSelectedVersions(
sanitizedVersions_CQ)
### call for correlation
#performCorrBasedOnIndiMetrics(sanitizedVersionsWithScore, sanitizedVersions_CQ)
##### all the vulnerability versions ended
####### high vScore versions started
medianScore = 51.11111
high_CQ_dict = utility.getHighVScoreVersions_CQ(sanitizedVersionsWithScore,
sanitizedVersions_CQ,
medianScore)
high_vScore_Dict = utility.getHighVScoreVersions_VScore(
sanitizedVersionsWithScore, medianScore)
### call for correlation
#performCorrBasedOnIndiMetrics(high_vScore_Dict, high_CQ_dict)
####### high vScore versions ended
####### low vScore versions started
medianScore = 51.11111
low_CQ_dict = utility.getLowVScoreVersions_CQ(sanitizedVersionsWithScore,
sanitizedVersions_CQ,
medianScore)
low_vScore_Dict = utility.getLowVScoreVersions_VScore(
sanitizedVersionsWithScore, medianScore)
### call for correlation
dbFileName="/Users/akond/Documents/Spring-2016/CSC522/OSSAndroidAppDataset/androSec.db" import DataExtractionFromTables as DEFT #import correlation as corr_ versionAndCodeQualityDict = DEFT.getValuesFrom_CodingStandard(dbFileName) sanitizedVersions_CQ = sanityCheck.getCodeQualityofVersions(versionAndCodeQualityDict) print "Sanitized versions that will be used in study ", len(sanitizedVersions_CQ) #print "Sanitized versions ..." , sanitizedVersions ##### all the vulnerability versions started sanitizedVersionsWithScore = sanityCheck.getVulnerbailityScoreOfSelectedVersions(sanitizedVersions_CQ) ### call for correlation #performCorrBasedOnIndiMetrics(sanitizedVersionsWithScore, sanitizedVersions_CQ) ##### all the vulnerability versions ended ####### high vScore versions started medianScore = 51.11111 high_CQ_dict = utility.getHighVScoreVersions_CQ( sanitizedVersionsWithScore , sanitizedVersions_CQ , medianScore) high_vScore_Dict = utility.getHighVScoreVersions_VScore(sanitizedVersionsWithScore, medianScore) ### call for correlation #performCorrBasedOnIndiMetrics(high_vScore_Dict, high_CQ_dict) ####### high vScore versions ended ####### low vScore versions started medianScore = 51.11111 low_CQ_dict = utility.getLowVScoreVersions_CQ( sanitizedVersionsWithScore , sanitizedVersions_CQ , medianScore) low_vScore_Dict = utility.getLowVScoreVersions_VScore(sanitizedVersionsWithScore, medianScore) ### call for correlation performCorrBasedOnIndiMetrics(low_vScore_Dict, low_CQ_dict) ####### low vScore versions ended