Model-Driven Evolution of Software Architectures - Software and ...

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160 Chapter7. Model-DrivenMigration (a)TRStargetmodel check RCB comm. transfer W2U [combined_load] move UR to rotate check RCB comm. report done [not(combined_load)] finish exchange (b)ActivityDiagram Figure 7.11:Resultsforunloadwaferrequest unload_wafer.TheselectedelementunderthePropertiestabinthebottom partrevealsthat“SimpleTask check RCB comm.”canonlybedispatchedafter itspredecessor“OrTask combined_load”hasbeenexecuted. Theconsequenceofusingacustommetamodelisthatweonlyhavethe basicgeneratededitortovisualiseanddocumentourtransformationresults.Again,weturnedtomodeltransformationstosolvethisproblem.As thereisnosuitablegraphicalrepresentationforcompleteTRSmodelsyet, wedefinedatransformationthatmapsaTRSmodeltoUMLActivityGraphs forthedynamicpart(oneforeachrequest)andaUMLClassmodelforthe staticpart.Theresultofthistransformationcaneasilybedisplayedusing UMLtools. Figure7.11(b)onthispage,forinstance,showsthedynamic partofourunloadwaferrequestdisplayedasanUMLActivityGraph. Notethat,wemerelyuseUMLnotationtorepresentpartofthetaskresourcemodel.Assuch,thesemanticsarenotidenticaltothatofUMLactivitygraphs,butonlysimilar.WerepresentTasksasActivitiesstereotyped withtheresourcetheyrequire. Thetransitionrepresentpredecessorrelationships(inreversedirection).ForAndTasksweuseforkPseudostates(representedbythehorizontalblackbar).AcompleteAndTaskisthusrep-
7.9. Evaluation 161 resentedbythesubgraphthatstartswithaforkandendswhenthetwo concurrentpathsarejoined. OrTasksarerepresentedusingchoicePseudostates(representedbyadiamondwithtwooutgoingarrows).Similarto theAndTaskacompleteOrTaskisthusrepresentedbythesubgraphthat startswithachoicePseudostateandendswhenthetwoconditionalpaths arejoined.Forconveniencewedidnotexplicitlyrepresentedthejoinofthe twoconcurrentpaths(i.e.,usinganotherhorizontalbar);theyarejoinedin thesamenode(thediamondwiththreeincomingarrows)astheconditional paths. 7.9 Evaluation Applicability Applicationofourgeneric,model-drivenmigrationapproach requiresthatthesourceviewandtargetviewcanbedefinedusingametamodel. Whenthisispossible,theactualmigrationfromsourcetotarget constitutesaseriesofmodeltransformations. Inpractice,modelsareonlymadeascompleteandaccurateasisdemandedbytheirapplication.However,thesedemandsbecomemorestringentwhenthesemodelsareusedasinputforautomatedprocessingsuch asmodeltransformations. Asaresult,thecontext-specificnormalisation stepiscrucialtotheapplicabilityofourmigrationapproachinindustrial contextswhere(source)modelsaretypicallyusedforcommunicationand documentationpurposesonly. MOF-basedmetamodelsonlyprovidetheabstractsyntaxforconformingmodelsanddonotdefinehowtovisualisethem(concretesyntax). In factthisisadrawbackofusingacustommetamodel:nomodeleditorsand viewersareavailable,apartfromthebasiceditorasgeneratedbytheEMF plugin.Inthischapterweagainturnedtomodeltransformationstodocumentandvisualiseourresults.Theuseofmodeltransformationsprovides anelegantandflexiblewayofgeneratingarchitecturedocumentationthat caneasilybetailoredtomeetspecificdocumentationrequirementsofamigrationcontext.ThisisfurtherdiscussedinChapter8. Itturnedoutthatamodel-drivenmigrationapproachbasedon MDA isusefulforrapid(incremental)developmentofnormalisationrulesand transformationrules. Thatis,resultscaneasilybevisualisedanddocumentedgiventhewidevarietyofavailabletools. Scalability Withrespecttothescalabilityofourapproachwecansafely statethatourexperimentsareofthesameorderofmagnitudeasfullfledgedcomponentmigrationsforreal-worldwaferscannerapplications. Moreconcretely,thetworequeststhatweremigratedasaproofofconcept
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Model-DrivenEvolution ofSoftwareArc
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vi Preface Furthermore,Iwanttomenti
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viii Contents 2.4 Model-DrivenEvolu
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x Contents 7.5 SourceMetamodel. ...
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xii ListofFigures 5.7 Examplescenar
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2 Chapter1. Introduction Figure 1.1
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2.3. Model-DrivenEngineering 37 tin
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Page 145 and 146: 7.1. Introduction 131 viewisitsprim
Page 147 and 148: 7.3. MigrationContext 133 requests
Page 149 and 150: 7.3. MigrationContext 135 waferhasb
Page 151 and 152: 7.4. Model-DrivenMigration 137 Sour
Page 153 and 154: 7.5. SourceMetamodel 139 0..1 0..1
Page 155 and 156: 7.5. SourceMetamodel 141 WAIT_MEASU
Page 157 and 158: 7.6. NormalisationRules 143 7.6 Nor
Page 159 and 160: 7.6. NormalisationRules 145 Subsyst
Page 161 and 162: 7.7. TargetMetamodel 147 tworesourc
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Page 165 and 166: 7.8. Transformation 151 + capabilit
Page 167 and 168: 7.8. Transformation 153 Foreveryele
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Page 171 and 172: 7.8. Transformation 157 rule Resour
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Page 177 and 178: 7.9. Evaluation 163 morecomplicated
Page 179 and 180: 7.10. ConclusionsandFutureWork 165
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Page 183 and 184: 8.2. Background 169 Inpractice,thee
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Page 189 and 190: 8.4. UsingMDAVtoGenerateViews 175 S
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Page 195 and 196: 8.5. IndustrialApplication 181 rule
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Page 199 and 200: 8.6. Discussion 185 8.6 Discussion
Page 201 and 202: 8.8. ConcludingRemarks 187 Wherewep
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Page 207 and 208: 9.3. SoftwareProductLines(RQ2) 193
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Page 220 and 221: 206 BIBLIOGRAPHY Bass,Len,PaulCleme
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210 BIBLIOGRAPHY Favre,Jean-Marie.
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212 BIBLIOGRAPHY Graaf,Bas,Hylkevan
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214 BIBLIOGRAPHY Klein, Mark H., Ri
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216 BIBLIOGRAPHY Proceedingsofthe6
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218 BIBLIOGRAPHY Shaw,Mary,RobertDe
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220 BIBLIOGRAPHY VanOmmering,Rob,Fr
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222 Summary ellingandtheimportanceo
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Samenvatting Tweebekendewettenindes
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Samenvatting 227 Inmeerderehoofdstu
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TitlesintheIPADissertationSeriessin
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Sciences, Mathematics, andComputerS
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Processes. Faculty of Electrical En
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