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

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156 Chapter7. Model-DrivenMigration rule Request { from sm: UML!StateMachine to rq: TRS!Request ( tasks asSequence()->first()).getTaskModelElements(sm.top. subvertex)) } rule SystemDefinition { from sm: UML!Model to sd: TRS!SystemDefinition ( behaviours collect(e|thisModule. resolveTemp(e,’b’)), resources collect(e|thisModule. resolveTemp(e,’r’)), capabilities
7.8. Transformation 157 rule ResourceUsage { from s:UML!SimpleState (s.isWait) to cu: TRS!CapabilityUsage ( capability select(a|a.script.body=s. outgoing->select(t|t.effect.isClaim).effect.script.body)) } Listing 7.5:Ruleforresourceusagepattern callthe getResourceClaimshelperthatrecursivelyfindsall ≪wait≫States bybackwardstraversalofthestatemachineuntila≪release≫Actionis encountered. A ≪release≫Actionreleasesallclaimedsubsystems. The ≪wait≫StatesinthereturnedsetmatchtheResourceUsageruleandthe BehaviourislinkedbyitsrequiresattributetothecorrespondingCapabilityUsageelements. Resourcesetups Inthetargetmodel,setupsareautomaticallyinsertedby thegeneric(solving)partoftheproduct-linearchitecture. Thisisdoneat run-time,basedonmismatchingbeginStateandendStateattributesofthe CapabilityUsageelement.Tosomeextent,thesecouldbederivedfromthe explicitlyspecifiedsetupsinthesourcemodel. Inthischapter,however,wedonotdefineacorrespondingtransformationruleasitdependsheavilyondomainknowledge.Usingourtransformations,setupswillexplicitlyendupinthetargetmodelasjustanother taskandbehaviour.Assaid,thisensuresthatthemigratedcontrolsystem mimicsthebehaviourofthelegacycontrolsystemexactly,thusresulting inavalidatedandacceptablebaseline. Synchronousexecution ThetargetmodeldefinesprecedencerelationsbetweenthoseTasksthatrequiresynchronisation(withinthesameRequest).Inprinciple,theserelationsfollowfromtheexecutionorderofthemanufacturingactivitiesandthecorrespondingActionswithinanormalisedstatemachine.Inaddition,(virtual)resourcescanbeusedforexternalsynchronisation. ForsynchronisationwithinaRequest,predecessorrelationsarecreated foreverytaskbysearchingforitssetof(direct)predecessortasks. For thiswehavedefinedtwohelpersthatbothoperateontheelementsthat matchrulesthatcreateTasks.ThefirsthelperisdepictedinListing7.6on thefollowingpageandisdefinedonStateVertexwhereasthesecondone isdefinedonGuard. ForeachTask,oneofthese getPredecessorshelpers isinvokedonitscorrespondingStateVertexorGuard. Thesehelpersdeterminewhetherthecurrentelement(self)correspondstoatask. Ifso, thiselementisreturned. Otherwise,thehelperisrecursivelyappliedto
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Model-DrivenEvolution ofSoftwareArc
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Ditproefschriftisgoedgekeurddoordep
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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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xiv ABBREVIATIONS MDA ModelDrivenAr
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2 Chapter1. Introduction Figure 1.1
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4 Chapter1. Introduction evolutiono
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2.3. Model-DrivenEngineering 27 are
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2.3. Model-DrivenEngineering 29 sam
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2.3. Model-DrivenEngineering 31 met
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2.3. Model-DrivenEngineering 33 con
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2.3. Model-DrivenEngineering 35 1mo
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2.3. Model-DrivenEngineering 37 tin
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42 Chapter3. StateofthePractice toc
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44 Chapter3. StateofthePractice Tab
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46 Chapter3. StateofthePractice Fig
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48 Chapter3. StateofthePractice Req
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52 Chapter3. StateofthePractice IBM
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54 Chapter3. StateofthePractice pro
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56 Chapter3. StateofthePractice des
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58 Chapter4. Evaluation Onestrategy
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60 Chapter4. Evaluation Startingpoi
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62 Chapter4. Evaluation p1 p2 p3 p4
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64 Chapter4. Evaluation Describe De
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66 Chapter4. Evaluation Theincrease
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70 Chapter4. Evaluation kindofcompo
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72 Chapter4. Evaluation Withrespect
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76 Chapter4. Evaluation 4.7 Conclus
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78 Chapter5. Model-DrivenConformanc
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104 Chapter6. ConformanceCheckingII
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Page 143 and 144: Chapter7 Model-driven Migration of
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
Page 163 and 164: 7.7. TargetMetamodel 149 > WAIT_FOR
Page 165 and 166: 7.8. Transformation 151 + capabilit
Page 167 and 168: 7.8. Transformation 153 Foreveryele
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Page 173 and 174: 7.8. Transformation 159 rule Condit
Page 175 and 176: 7.9. Evaluation 161 resentedbythesu
Page 177 and 178: 7.9. Evaluation 163 morecomplicated
Page 179 and 180: 7.10. ConclusionsandFutureWork 165
Page 181 and 182: Chapter8 Visualisation of Domain-Sp
Page 183 and 184: 8.2. Background 169 Inpractice,thee
Page 185 and 186: 8.2. Background 171 Inpracticethear
Page 187 and 188: 8.3. Model-DrivenArchitecturalViews
Page 189 and 190: 8.4. UsingMDAVtoGenerateViews 175 S
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Page 193 and 194: 8.4. UsingMDAVtoGenerateViews 179 .
Page 195 and 196: 8.5. IndustrialApplication 181 rule
Page 197 and 198: 8.5. IndustrialApplication 183 rule
Page 199 and 200: 8.6. Discussion 185 8.6 Discussion
Page 201 and 202: 8.8. ConcludingRemarks 187 Wherewep
Page 203 and 204: Chapter9 Conclusion Thegoalofthisth
Page 205 and 206: 9.2. IntegrationinPractice(RQ1) 191
Page 207 and 208: 9.3. SoftwareProductLines(RQ2) 193
Page 209 and 210: 9.4. Model-DrivenEngineering(RQ3) 1
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Page 213 and 214: 9.5. SupportforEvolutionofSoftwareA
Page 215 and 216: 9.6. FutureWorkandRecommendations 2
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206 BIBLIOGRAPHY Bass,Len,PaulCleme
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208 BIBLIOGRAPHY Clements,PaulandLi
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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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L.Cruz-Filipe. ConstructiveReal Ana
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Sciences, Mathematics, andComputerS
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Processes. Faculty of Electrical En
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