a composite design-pattern identification technique

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1、Informatica29(2005)469–476469ACompositeDesign-PatternIdentificationTechniqueMarjanHeričkoandSimonBeloglavecUniversityofMaribor,InstituteofInformatics,Smetanovaulica17,2000Maribor,SloveniaE-mail:marjan.hericko@uni-mb.si,simon.beloglavec@uni-mb.siKeywords:Designpatterns,des

2、ignmetrics,designpatternsidentification,compositedesignpatternsReceived:June17,2005Thispaperintroducesanewtechniqueforidentifyingcompositedesignpatternsfromexistingpattern-baseddesigns.Weproposetwopatternmetrics:patterncoverageandoverlappingthatcanhelpdetectacompositepatt

3、ern.Theeffectivecompositepatternsreflectqualitypropertiesthatareconsidereddesirableinthesolutionforagivenproblemdomainandselectedprogrammingparadigm.Toidentifyappropriatecandidates,weproposeanassessmentwithasetofdesignmetricsinadditiontopatternmetrics.Thecalibrationofvalu

4、eintervalsformetricscoresisproposedwiththeintentionofofferingthedesignerthepossibilityofadjustingthetechniqueforeachindividualtypeofsoftware.Inthispaper,wepresentthestepsrequiredfordetectingandidentifyingthesuitablecompositepatterncandidatesthroughpatternanddesignmetricas

5、sessment.Povzetek:Prispevekpredstavljanovpristopznovimimetrikamivzorcevkidentifikacijisestavljenihnačrtovalskihvzorcevvobstoječihnačrtihinformacijskihsistemov.1IntroductionThetypicalsoftwaredesignrarelyincludesandetectingvariouslevelsofoverlapping.Thisstepextractsindepend

6、entpattern;increasingly,appliedpatternsarethesetofcompositepatternscandidatesthatisassessedinterconnected.Adesignpattern(henceforth"pattern")withdesignmetricsinthefinalstep.Thefinalcanbeappliedtovariousstructuralforms.Asetofassessmentusesasetofdesignmetricsthatexposesappl

7、iedpatterns,inselectedforms,canpromoteintheflawsinthedesignwhenconsideringqualityattributesexistingdesignsdesiredqualitycharacteristics.Whatvalidforagivensolutiondomainandtheselectedqualifiesasanappropriatedesignqualitydependsontheprogrammingparadigm.Theresultofthefinalst

8、ageisatypeofsoftwarethathasbeendeveloped(e.g.localsmallsubsetofnewcompositepatternsoranindividua