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1、Availableonlineatwww.sciencedirect.comProcediaEngineering15(2011)1186–1190AdvancedinControlEngineeringandInformationScienceGeneticAlgorithmanditsApplicationinthepath-orientedtestdataautomaticgenerationLiuShimin,WangZhangang∗TianjinPolytechnicUniversity,63,Ch
2、englinRoad,HedongDistrict,Tianjin,ChinaAbstractInordertosolvetheproblemoftestdataredundancyandsomepathsuncoveredintheprocessofpath-orientedsoftwaretestdatarandomgeneratingautomatically.Thispaperproposesatestdatageneratingautomaticallyapproachbaseongeneticalg
3、orithm.Throughgeneticalgorithm’sglobaloptimizationfunction,generatesenoughtestdataandreducesredundancysothatguaranteethetestfullyandefficiently.Inthepaper,weshowtheprincipleandproceduresofgeneticalgorithmtestdataautomaticgeneration.WedotheexperimentinMATLABe
4、nvironmentandcarryonsimulationandanalysistotheexperimentresult.©2011PublishedbyElsevierLtd.OpenaccessunderCCBY-NC-NDlicense.Selectionand/orpeer-reviewunderresponsibilityof[CEIS2011]Keyword:geneticalgorithm;path-oriented;testdataredundancy;testdataatuomaticge
5、neration;1.IntroductionWiththesoftwarescalegettingbiggerandbigger,itneedstogeneratemassivetestdatainthetest.Testdataautomaticgenerationreceivesmoreandmorepeople’sattention.Randomtestdataautomaticgenerationmethodissimpleandcangeneratelotsofdataquickly.Butthis
6、methodisgreatblindnessandsubjecttodatadistributioneffect,soitwillresultinalargenumberofdataredundancies.Geneticalgorithmisaoptimizationalgorithmofsimulatingbiologicalevolution,andithasbeenproposedbyHollandinthe1960s.Asahighlyefficientsearchoptimizationalgori
7、thm,itshowsanuniqueadvantagein∗Correspondingauthor.Tel.:+86-13602084943.E-mailaddress:wangzhangang@tjpu.edu.cn.1877-7058©2011PublishedbyElsevierLtd.OpenaccessunderCCBY-NC-NDlicense.doi:10.1016/j.proeng.2011.08.219LiuShiminandWangZhangang/ProcediaEngineering1
8、5(2011)1186–11901187addressingthehighcomplexproblemofbigspace,multimodal,nonlinear,globalchange,andsoon.Weintroducegeneticalgorithmtopath-orientedtestdataautomaticgenerationmodel.Usingthefitness
