Conceptual Modeling Perspectives

274 Pages·2017·1.86 MB·English

by  Jordi Cabot et al. (eds.)

Jordi Cabot
Cristina Gómez
Oscar Pastor
Maria Ribera Sancho
Ernest Teniente
Editors
Conceptual
Modeling
Perspectives
Conceptual Modeling Perspectives
Jordi Cabot · Cristina Gómez · Oscar Pastor
Maria Ribera Sancho · Ernest Teniente
Editors
Conceptual
Modeling
Perspectives
1 3
Editors
Jordi Cabot Maria Ribera Sancho
ICREA Department of Service and I nformation
Universitat Oberta de Catalunya System Engeneering
Barcelona Universitat P olitècnica de Catalunya
Spain Barcelona Supercomputing Center
Barcelona
Cristina Gómez Spain
Department of Service and Information
System Engineering Ernest Teniente
Universitat Politècnica de Catalunya Department of Service and Information
Barcelona System Engineering
Spain Universitat P olitècnica de Catalunya
Barcelona
Oscar Pastor Spain
PROS Research Center
Universitat Politècnica de València
Valencia
Spain
ISBN 978-3-319-67270-0 ISBN 978-3-319-67271-7 (eBook)
https://doi.org/10.1007/978-3-319-67271-7
Library of Congress Control Number: 2017951427
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Preface
WhenwedecidedtoleadthedesignofthisbookforProf.AntoniOlivé,wedidnot
guessthatwritingaPrefaceforourProfessorfirst,ourforeverFriendlater,would
besuchahardjob.Therealityisthatsummarizinginafewwordsourrespectand
admirationforhimisprobablythemostcomplicatedConceptualModelingactivity
that we have ever faced! But we can try to do it, honoring the conceptual model-
ingpassionthatwehaveinheritedfromhim.AlwayswithConceptualModelingin
mind,thereareafewconceptualpatternsthathehasshownuswiththemosteffi-
cient strategy: his example. He has shown us the value of understanding carefully
others’ opinions. He has shown us how important is to listen to, before deciding
what to do. He has shown us that a brilliant research is modest. He has shown us
howarealleaderistheonerecognizedassuchbyallhispupils,aswe-theEditors-
allare.Hehasshownushowthebesthonorwecangranthimisbegratefulforthe
mostvaluablegiftthathehasprovidedtous:theconceptualmodelofhislifeasan
exampletobefollowed.
WiththisbookweallwanttohonorProf.AntoniOlivé.Itisasimplebuthonest
recognitiontohisenormouscontributiontotheConceptualModelingdiscipline.We
werehappytoseethatfindingasetofhighlyrelevantcolleaguesreadytocontribute
to it, was the easiest task for us! Everybody was eager to participate. Everybody
recognizes Antoni’s essential role in the community. Everybody has made a big
effort to be present in the book. We appreciated this effort. Thank you everybody
forit!Thesetofselectedchaptersprovidesacompleteandextremelyattractiveview
ofwhatConceptualModelingis,andwhatperspectivesareopenedtomakeitmore
andmorerelevantinoursociety.
We are sure that much more colleagues would have been happy to participate.
Sorryforthosethatcouldnotbeinthebook:editionconstraintsmadeitnotpossible!
We know that in any case we all share our immense gratitude and recognition to
his person. We are lucky to have had the chance of enjoying science and life with
you.Wearereadytostillenjoyyourfigure,FriendandProfessorAntoniOlivéfor
manymoreyears.Asastartingpointforthisexcitingfuture,wehopethatthisbook
-written in your honor- will be seen as a source of inspiration for everybody to
v
vi Preface
continueworkingformakingtruethenever-endeddreamthatyouhavetransmitted
tous:tocreateastrong,fruitfulandcreativecommunityofconceptualmodelers.
EntreBarcelonaiValència, JordiCabot
Juliol2017 CristinaGómez
ÓscarPastor
Maria-RiberaSancho
ErnestTeniente
Contents
1 ATributetoAntoniOlivéontheOccasionofHisRetirement::::::: 1
JanisBubenko,ColetteRollandandArneSølvberg
2 30YearsofContributionstoConceptualModeling ::::::::::::::: 7
JordiCabot,CristinaGómez,Maria-RiberaSanchoandErnestTeniente
2.1 Introduction.............................................. 7
2.2 TheDeductiveApproachtoConceptualModeling.............. 8
2.3 TechniquesforDeductiveConceptualModels ................. 9
2.3.1 DeductiveDatabases............................... 10
2.3.2 DeductiveConceptualModels....................... 11
2.3.3 Object-OrientedDeductiveConceptualModels......... 13
2.4 Object-OrientedConceptualSchemas:definitionandevolution .. 13
2.4.1 Definition ........................................ 13
2.4.2 Evolution ........................................ 16
2.5 ConceptualSchema-CentricDevelopment..................... 17
2.5.1 Verylargeconceptualschemas ...................... 17
2.5.2 Qualityinmodeling ............................... 19
2.6 Conclusions.............................................. 20
3 Modeling Life: A Conceptual Schema-centric Approach to
UnderstandtheGenome:::::::::::::::::::::::::::::::::::::: 25
ÓscarPastorLópez,AnaLeónPalacio,JoséFabiánReyesRománand
JuanCarlosCasamayor
3.1 Introduction.............................................. 26
3.2 ConceptualSchemaoftheHumanGenome(CSHG)............ 29
3.3 SILEMethodologyandDataQuality......................... 32
3.3.1 SILEMethodology ................................ 32
3.3.2 DataQuality...................................... 35
3.4 ConclusionsandFutureWork ............................... 38
vii
viii Contents
4 StrategicReading&ConceptualModeling :::::::::::::::::::::: 41
OscarDíaz
4.1 Introduction.............................................. 42
4.2 StudentReadingExperience ................................ 43
4.3 CouplingMindMeister&Mendeley.......................... 45
4.3.1 TheRCAtool:MindMeister ........................ 46
4.3.2 Thereadingtool:Mendeley ......................... 47
4.3.3 Thecoupling ..................................... 48
4.4 DScaffoldingatwork ...................................... 48
4.4.1 ConductingRCA.................................. 48
4.4.2 SettingRCAissues ................................ 49
4.4.3 StrategicReading ................................. 50
4.4.4 BacktoconductingRCA ........................... 51
4.5 Conclusions.............................................. 52
5 ConceptualModelingforIndicatorSelection :::::::::::::::::::: 55
AlejandroMaté,JuanTrujilloandJohnMylopoulos
5.1 Introduction.............................................. 56
5.2 RelatedWork............................................. 57
5.3 AMethodologyforElicitingandSelectingBusinessIndicators... 59
5.3.1 BusinessModelingandIndicatorMetamodel .......... 60
5.3.2 Analysis ......................................... 62
5.3.3 ModelUpdate .................................... 63
5.4 CaseStudy:PerformanceIndicatorsforWaterSupplyManagement 64
5.5 DiscussionandLimitations ................................. 66
5.6 ConclusionsandFutureWork ............................... 67
6 Conceptual Modeling in Accelerating Information Ingest into
FamilyTree::::::::::::::::::::::::::::::::::::::::::::::::: 69
DavidW.Embley,StephenW.Liddle,TannerS.Eastmond,
DeryleW. Lonsdale,JosephP.PriceandScottN.Woodfield
6.1 Introduction.............................................. 70
6.2 Fe6Pipeline.............................................. 72
6.2.1 ImportBook...................................... 72
6.2.2 RunExtractionTools .............................. 73
6.2.3 MergeExtractedInformation........................ 75
6.2.4 CheckQuality .................................... 76
6.2.5 EnhanceData..................................... 77
6.2.6 UpdateTree ...................................... 78
6.3 ProjectStatus............................................. 79
6.3.1 HumanOversightofAutomatedUpdates.............. 79
6.3.2 PipelineImplementation............................ 81
6.3.3 InitialFieldTests.................................. 81
6.4 Conclusions.............................................. 82
Contents ix
7 ModelCenteredArchitecture ................................. 85
HeinrichC.Mayr,JudithMichael,SunethRanasinghe,
VladimirA. ShekhovtsovandClaudiaSteinberger
7.1 Introduction.............................................. 86
7.1.1 Motivation ....................................... 86
7.1.2 RelatedWork..................................... 86
7.1.3 ThePaper’sAim .................................. 87
7.2 TheModelCenteredPerspective ............................ 88
7.2.1 Background:ModelsandMetamodels ................ 88
7.2.2 MCA:TheConcept................................ 89
7.2.3 Runningexamples................................. 91
7.3 ModelsinQuASEandHBMS .............................. 91
7.3.1 ModelsinQuASE................................. 91
7.3.2 ModelsinHBMS ................................. 92
7.4 ModelCenteredInterfacing................................. 95
7.4.1 ModelCenteredInterfacinginQuASE................ 95
7.4.2 ModelCenteredActivityRecognitionInterface ........ 96
7.4.3 OperatingInstructionIntegration..................... 97
7.4.4 ModelCenteredUserInterface ...................... 98
7.5 MCA:PatternsandImplementationExamples ................. 99
7.5.1 ArchitecturalPatternsforMCAsolutions ............. 99
7.5.2 ConcreteMCA:PatternUsageinDevelopmentProcesses100
7.6 ConclusionsandFutureWork ...............................102
8 Design-timeModelsforResiliency ............................. 105
Andrea Marrella, MassimoMecella, Barbara Pernici and
Pierluigi Plebani
8.1 Introduction..............................................105
8.2 TheApproach ............................................106
8.3 ResiliencyScenarios.......................................107
8.4 ModelingProcessesandDataforResiliency...................108
8.4.1 ModelingProcesses................................108
8.4.2 ModelingTimeVaryingInformation .................111
8.5 AnalyzingResiliencyDataProperties ........................112
8.6 RelatedWork.............................................116
8.7 ConclusionsandFutureWork ...............................117
9 WebSystemDevelopmentUsingPolymorphicWidgetsandGeneric
Schemas ................................................... 121
ScottBritell,LoisM.L.DelcambreandPaoloAtzeni
9.1 Introduction..............................................122
9.2 Background..............................................123
9.3 CanonicalStructures.......................................127
9.3.1 Widgets..........................................127
9.3.2 Mappings ........................................130
9.3.3 QueryRewriting ..................................131
x Contents
9.4 Evaluation ...............................................131
9.5 RelatedWork.............................................132
9.6 Conclusions..............................................134
10 Model-BasedEngineeringforDatabaseSystemDevelopment::::::: 137
BernhardThalheim
10.1 ModelsinComputerScienceandComputerEngineering ........137
10.1.1 TheModel .......................................137
10.1.2 Multi-ModelModelling ............................138
10.1.3 ScienceandEngineering ...........................139
10.1.4 Co-ModelsandModelSuitesinCS&CE ..............140
10.1.5 Model-BasedEngineeringasSpecificModel-Based
Reasoning........................................141
10.1.6 TheObjectivesofthePaper .........................141
10.2 ACaseStudyforStructure-RepresentingCo-Models ...........142
10.2.1 Co-Models:BusinessDataModelsandConceptual
Models ..........................................142
10.2.2 Co-Models:ConceptualModelsandLogicalModels....143
10.2.3 Co-Models:ConceptualCo-DesignofStructuringand
Functionality .....................................144
10.2.4 LessonsLearnedforModel-BasedEngineering ........144
10.3 TheFirstPrincipleofModelling.............................145
10.3.1 LogoiofModelling................................145
10.3.2 ScenariosandResultingFunctionsofModels ..........146
10.4 EngineeringforVerticalCo-Models..........................146
10.4.1 DatabaseDevelopmentwithVerticalCo-Models .......146
10.4.2 Model-BasedEngineeringwithCo-Models............147
10.5 ConceptualModelsasMediatorsWithinaModelSuite..........148
10.5.1 TheDichotomyofDescriptionandPrescriptionfor
eERModels ......................................149
10.5.2 SomeModellingLogosofERModelling..............149
10.6 Conclusions..............................................150
11 QualityImprovementofConceptualUMLandOCLSchemata
throughModelValidationandVerification :::::::::::::::::::::: 155
MartinGogollaandKhanh-HoangDoan
11.1 Introduction..............................................155
11.2 ValidationandVerificationUseCases ........................156
11.3 UseCasesAppliedinaConceptualModelingExample .........158
11.3.1 ModelConsistency ................................162
11.3.2 PropertySatisfiability ..............................162
11.3.3 ConstraintIndependence ...........................163
11.3.4 PartialSolutionCompletion.........................165
11.4 RelatedWork.............................................165
11.5 ConclusionsandFutureWork ...............................167