Monthly Archives: February 2017

February 28, 2017 · 11:25 am

Michael Herman: Award-winning Author, Invited Speaker, Illustrator, and Trainer

Feel free to contact me at:

Michael Herman
mwherman@parallelspace.net
(416) 524-7702

PARTIAL PORTFOLIO

All of the publications below are full-length white papers or technical notes – unless noted otherwise (e.g. presentations, training materials, online product help).

Tzunami K-Wise Deployer

Client: Tzunami

Tzunami Inc. Evaluation Guide: Using K-Wise Deployer™ for Rapid Content Migration into Microsoft SharePoint Products and Technologies (50 pages)

#Graphitization of ArchiMate: Getting MMOR from ArchiMate using the ModelMate Master Online Repository

MMOR (pronounced “more”) is an online, queryable version of an updated, corrected version of the ArchiMate 3.0 relationship matrix – originally described in the article The Graphitization of ArchiMate.

The source data for MMOR is based on Gerben Wierda‘s recent (February 2017) blog article The ArchiMate 3.0 Relations Table….

This article provides an overview – a teaser, actually. I’m working on a more in-depth description that I’ll publish next week. HINT: If you poke around on hyperonomy.com – digital intelligence, you’ll find the “WIP” draft.

Logging into MMOR (pronounced “more”)

MMOR Url: http://hobby-icgaeohcoeaggbkeabhldpol.dbs.graphenedb.com:24789/browser/
MMOR Username: ModelMate_Master_Datasets10
MMOR Password: YqeZAH4ODEJqglkEsK5p

The above app url, username and password provide you with read-only access to the MMOR graph database – you can’t hurt anything. Please go ahead and try it using some of the sample queries I’ve documented below.

CAVEAT: There are zero guarantees on my part in terms of the availability, reliability, or performance of this hosted solution. I’ll be making changes with no advance notice.

Running Queries

To run a query, follow these steps:

Connect to the MMOR app and login (see above)
Copy & paste each query (one at a time) into the query box (next to the ‘$’ sign)
Click the “Play” icon to run the query

Figure 1. Copy & paste each query (one at a time) – then click Play (click to enlarge)

TIP: After you’ve run your first query, in the bottom-right corner of the visualization, turn Auto-Complete to the Off position by clicking on the icon.

Figure 2. TIP: Turn Auto-Complete to the Off position

Sample Query A: Node Prototype, Technology Landscape View

Return and visualize the relations in the MMOR where the source element is a Node and the (source and) target elements are members of the Technology domain, both Core as well as Derived relations are included, and the source and target elements are different (i.e. ignore self-referencing element relations).

MATCH path = (source:ElementProtoype_ArchiMate30_TheOpenGroup) 
            -[relation]->
             (target:ElementProtoype_ArchiMate30_TheOpenGroup)
WHERE source.DomainQualifiedLabel IN ["TechnologyDomain_ArchiMate30_TheOpenGroup"]
AND   target.DomainQualifiedLabel IN ["TechnologyDomain_ArchiMate30_TheOpenGroup"]
AND   type(relation) IN ["CoreRelation_ModelMate30_Parallelspace",
                         "DerivedRelation_ModelMate30_Parallelspace"]
AND   source.QualifiedName <> target.QualifiedName
AND   source.QualifiedName = "Node_ArchiMate30_TheOpenGroup"
RETURN path

NOTE: In the above Cypher Query Language (CQL) query, note the use of the following ModelMate Namespace Naming Standard used for:

Element prototype types on the source and target elements (e.g. ElementPrototype_ArchiMate30_TheOpenGroup, Node_ArchiMate30_TheOpenGroup)
Each element’s domain (e.g. TechnologyDomain_ArchiMate30_TheOpenGroup)
Categorizing relations (e.g. CoreRelation_ModelMate30_Parallelspace, DerivedRelation_ModelMate30_Parallelspace)

The general format used for the ModelMate Namespace Naming Standard is:

[typeclassname]_[typeclasscategory]_[typeclassoriginatingbody]

e.g. ApplicationComponent_ArchiMate30_TheOpenGroup

Figure 3. Sample Query A: Results (click to enlarge)

NOTE: The black arcs are Core relations; the red arcs are Derived relations. In the current version of the MMOR, there’s approximately an order of magnitude more Derived relations vs. Core relations.

NOTE: In Figure 3, note the use the ModelMate convention for naming relations based on a specific verb taxonomy that immeasurably improves the readability, a Stakeholders’ opportunities for further reflection and refinement, and the composability of higher-level Domain-Specific Languages (DSLs) for enterprise architecture based on using ArchiMate as a lower-level intermediate language:

Sample Query B: Core Relations, All Domains Landscape View

Return and visualize all of the Core relations in the MMOR.

MATCH path = (source) 
            -[relation:CoreRelation_ModelMate30_Parallelspace]-> 
             (target)
WHERE id(source) <> id(target) 
RETURN path

Figure 4. Sample Query B: Results (click to enlarge)

NOTE: It may look pretty but it’s not very useful from a functional perspective. To fix this, try grabbing the Passive Structure elements and dragging them to the left; the Active Structure elements, moving them to the right. The Behavior elements can be left in the middle. They will act as if they are connected to the Passive and Active Structure elements by elastics or springs. You can also manually position the Behavior elements similar to what you did with the Structure elements. Go ahead and try it for yourself.

There are several additional visualization tools in the market that work substantially better than the default browser app that ships with the Neo4j graph database. Check out this page: Graph Visualization for Neo4j. Linkurious is one of my favorite graph visualization apps.

Sample Query C: All Elements Prototypes, Statistical Matrix

Return and display a statistical matrix describing the element prototypes in the MMOR.

MATCH (source), (target)
WHERE id(source) <> id(target)
RETURN DISTINCT labels(source), count(*) AS Count,
avg(size(keys(source))) as AvgPropertyCount,
min(size(keys(source))) as MinPropertyCount,
max(size(keys(source))) as MaxPropertyCount,
avg(size((source)-[]->(target))) as AvgRelationsCount,
min(size((source)-[]->(target))) as MinRelationsCount,
max(size((source)-[]->(target))) as MaxRelationsCount

Figure 5. Sample Query C: Results (click to enlarge)

NOTE: The use of multiple Cypher Query Language (CQL) labels to support multiple-inheritance at the element prototype level. For example, using the first row of data in Figure 5:

the generic element prototype (i.e. Element_ArchiMate30_TheOpenGroup),
ArchiMate domain (layer) type (e.g. MotivationDomain_ArchiMate30_TheOpenGroup), and
ArchiMate aspect type (e.g. MeaningAndValueAspect_ArchiMate30_TheOpenGroup);
in addition to the element’s specific ArchiMate prototype (e.g. Value_ArchiMate30_TheOpenGroup).

Downloadable Files

You can also download file-based versions of the MMOR Master Datasets from GitHub in the following file formats:

CSV text file
Microsoft Excel workbook
Microsoft Access database
Neo4j Cypher Query Language (CQL) file.

In addition, there is a ZIP file containing all 4 file formats.

https://github.com/mwherman2000/ModelMate30_Parallelspace/tree/master/Parallelspace_ModelMate_MasterDataset_Complete10

Best regards,
Michael Herman (Toronto)
Parallelspace Corporation
mwherman@parallelspace.net

*ArchiMate is a registered trademark of The Open Group.

2 Comments

Filed under ArchiMate, Crossing the EA Charm, Enterprise Architecture, Enterprise Architecture Chasm, Master Data Management, Master Metadata Management, ModelMate, ModelMate Information Architecture for ArchiMate, ModelMate Information Architecture for Languages, The Open Group

Tagged as ArchiMate, cypher, MMOR, ModelMate Master Online Repository, Neo4j

February 8, 2017 · 4:44 pm

Crossing the EA Chasm: #Graphitization of ArchiMate 3.0 – Iteration 2

First Draft: April 5, 2017

This article documents a number of parallel efforts to improve the usability, understandability, utility, and correctness of the ArchiMate 3.0 Specification. In particular, this article extends a well-received previous article Crossing the EA Chasm: Graphitization of ArchiMate 3.0 – Iteration 1 where I posed the question:

Wouldn’t it be nice to have an authoritative reference for ArchiMate 3.0, more specifically, a repository for the enterprise architecture language‘s elements and relationship matrix, that is queryable.

This article documents the current iteration of the ModelMate project, Iteration 2, whose goal is to create an improved queryable repository for a corrected version of relationship matrix (more correct relative to the Appendix B tables in the current ArchiMate 3.0 Specification).

Background

Over the past few months, I’ve written several articles commenting on the current state of the ArchiMate language for Enterprise Architecture including:

In addition, there are almost weekly postings about usability issues or errors with the Specification in the Linkedin ArchiMate group, the GitHub Archi issues log, LinkedIn Pulse, and the Google ArchiMate group; as well as other forums [1][2].

The recent effort, called the ModelMate project, is a focused effort to create a more broadly applicable, usable, useful, ArchiMate-based, extensible language environment for enterprise architecture as described in these 4 articles:

Current Scenario

The current scenario is highlighted by the following points taken from the above references:

“[People should be] encouraged to try to model these examples for yourself: to start learning how to “think in ArchiMate” as your second or third written language.” The way the ArchiMate language is currently designed and, more importantly, described makes this difficult.
In an abstract sense, the extension of the ArchiMate language is supported but, in reality, few if any broadly adopted extensions have appeared in the market. A better approach is described here: Crossing the EA Chasm: ArchiMate 3.0, fix it or re-purpose it?
There is no single, authoritative, machine-readable version of the ArchiMate 3.0 relationship matrix; let alone one that is easily accessible and queryable.
The Open Group’s insistence on using abstract terminology to name element types and relation types presents users with additional challenges.

Problem Description

At a data level, the root causes of the problems with the ArchiMate 3.0 relationship matrix in Appendix B of the ArchiMate 3.0 Specification include:

No machine-readable version of the tables are available for external validation for correctness
The tables contain errors in the approximately 11,000 relations that are represented in the tables. Is is estimated that there are few hundred to a few thousand errors present in the current ArchiMate 3.0 tables
The tables contain all possible (valid) relations but do not differentiate between Core relations and Derived (non-Core) relations.

All three issues are critical for the ArchiMate 3.0 Specification and these tables to be trusted and more generally useful.

In addition, the Derived Relation Derivation Algorithm has never been published by The Open Group. Attempts to create an alternative algorithm have highlighted that the text of the ArchiMate 3.0 Specification is neither consistent nor complete when it comes to identifying the set of Core Relations and a correct and complete Derviation Algorithm.

Lastly, when dealing with 1000+ Core Relations and several thousand Derived Relations (8000-9000 or more), it’s difficult to analyze and visualize what the ArchiMate 3.0 relationship matrix looks like in total, or when subdivided by Domain (Layer) or Aspect, or when focused on a specific element prototype (e.g. Node).

Solution Overview

The goal of this solution is to publish a very detailed, rich, unnormalized version of the latest and greatest ArchiMate 3.0 relationship matrix in multiple formats; including:

CSV text file
Microsoft Excel workbook
Microsoft Access database
Neo4j Cypher Query Language (CQL) queryable graph database file

When loaded into Microsoft Excel, the CSV and Microsoft Excel workbook format files appear as shown in Figure 1 (below).

Figure 1. ModelMate Master Datasets: Excel 2016 and CSV File Formats

The Microsoft Excel (and CSV) format file can also be used with the Microsoft Excel Web App (Figure 2) and the Microsoft Excel format can be used to create custom SharePoint lists (Figure 3).

Figure 2. ModelMate Master Datasets: Excel 2016 format file in MIcrosoft Excel Web App

Figure 3. ModelMate Master Datasets: Custom SharePoint List created from Imported Excel 2016 Format File

When loaded into Microsoft Access, the Microsoft Access database format files appear as shown in Figure 4 (below).

Figure 4. ModelMate Master Datasets: MS Access Database file format

To create a queryable graph database version of the ArchiMate 3.0 relationship tables (in effect, the entire ArchiMate 3.0 metamodel), the Cypher Query Language (CQL) file depicted in Figure 5. was created.

Figure 5. ModelMate Master Datasets: Neo4j CQL File

Figure 6 is an example of the output from a single line CQL query run against the ArchiMate 3.0 graph database (implemented using Neo4j). If you look closely at the CQL statement at the top of this screen shot (click Figure 6. to enlarge it), you’ll see that it is selecting all of the relationships across all of the element prototypes in the Technology/Infrastructure domain of the ArchiMate 3.0 metamodel that connect to the Node element prototype.

Figure 6. ModelMate Master Datasets: Graph Mining Analysis Sample

File Downloads

You can download the files referred to in this article from the GitHub repository. Click here to download the ModelMate Master Datasets files.

In addition, there is a Neo4j Cypher Query Language (CQL) file available for download that will ingest all of the element prototypes and relations into a graph database using a single Neo4j shell invocation. From the Windows Powershell or Windows Command Prompt, use:

“C:\Program Files\Java\jre1.8.0_91\bin\java.exe” -classpath “C:\Program Files\Neo4j CE 3.0.6\bin\neo4j-desktop-3.0.6.jar” org.neo4j.shell.StartClient -c dump > MasterDataSet.cql

Lastly, there is Microsoft Access 2016 database version of the CSV file that is available for download if you prefer using Microsoft Access SQL queries or graphical SQL queries.

Solution Details

Below is a copy of the workflow and dataflow used to create the Parallelspace ModelMate Master Datasets. It’s not as messy as it looks – it’s true mashup and a valuable one at that. It’s primarily the result of the truly ad-hoc collaboration between 3 enterprise architecture professionals with an interesting mix of diverse goals (Gerben Wierda, Ed Roberts and myself); each of us with our own set of preferred development technologies and goals (with Excel being the greatest common denominator (GCD)).

Figure 7. ArchiMate 3.0 Relationship Matrix Resolution Process

The numbered steps in Figure 7. are explained below:

Data Sources. There are many sources of information about the ArchiMate relationship matrix in addition to the Appendix B tables in the ArchiMate 3.0 Specification. The list in Figure 7. is a fairly complete. Key data sources include the GitHub Archi repository for the most widely used ArchiMate modeling tool for enterprise architecture and Gerben Wierda’s multiple ArchiMate resources publishing under the Mastering ArchiMate brand.

“MA Core Set” Spreadsheet. Wierda worked to consolidate various data sources from Step 1 above to create the “MA Core Set” Mastering ArchiMate relationship matrix (plus a number of other relationship matrices that Wierda used for comparative analysis and troubleshooting purposes). The “MA Core Set” represents the “seed” or Core Set of (non-derived) ArchiMate relations. Wierda created this Core Set over several iterations reviewing the word-for-word text of the Specification, the inheritance diagrams, as well as incorporating his extensive practical knowledge and experience documenting ArchiMate in the book entitled Mastering ArchiMate – Edition II.

The “MA Core Set” tab in the AllowedRelationsArchiMate30VBA-public.xlsm Excel spreadsheet also includes additional columns that are reserved for calculating and storing an intermediate 3-column, reverse-transposed version of the relationship matrix (Step 3 below).

CreatePrologList() Visual Basic for Applications (VBA) Macro: This macro is used to perform the actual reverse-transposition of the “MA Core Set” relationship matrix into the 3-column format which including a column for storing the relation(source,target) 3-tuple formatted data (in Prolog format). The 2-D relationship matrix is the input to the macro (along with some additional master data tables that are part of the VBA code). The 3-tuples are the essential output of the VBA macro (stored “in-place” in the first 3 columns of the spreadsheet).

CoreSet.prolog File. To proceed through to the next step of the workflow, the Prolog format data is copied from the spreadsheet and pasted into a plain text file called CoreSet.prolog, for example (or any other filename you would like to use).

Derivaton.py Python Script and outfile.csv. The Derivation.py script contains is the “magic sauce”. Written by Wierda, Derivation.py reads the CoreSet.prolog file and executes a complex and detailed algorithm to expand the Core Set of ArchiMate relations read from the CoreSet.prolog file into a number of alternative output formats, including CSV and Prolog formats.

To support the ModelMate project, a version of Derivation.py was modified to output a number of additional CSV columns (outfile.csv). Columns:

SourceElement
TargetElement
Relation
RelativeStrength
IsInputRelation
StandardVersion
ScriptVersion

Outfile.xml File. Steps 6 and 7 are part of a sequence of activities that were used to create a relationships.xml file that is compatible with the relationship configuration requirements of the Archi modeling tool. This process, originally implemented by Ed Roberts, owner of Dallas-based Elparazim, uses Excel to load the outfile.csv save it out as an outfile.xml file.

For Step 7, Ed Roberts wrote an XSL Transform script that when applied to the outfile.xml file creates the Archi-compatible relationship.xml that is used by the Archi model to automatically configure the element-element relations supported in a given version of Archi (e.g. Archi 4.0).

Steps 8-10 mark an alternative data flow created to support the needs of the ModelMate Master Datasets project.

In Step 8, the contents of the ModelMate-compatible modified CSV output from Step 5 (outfile.csv) is copy-and-pasted into the Parallelspace_ModelMate_MasterDatasets_CoreAndDerivedNN.xlsx Excel workbook (where NN is a version number).

A matrix of automated Excel functions in the Complete spreadsheet merge the elements and relations master data attributes from the Elements and Relations spreadsheet with the data from the Derived spreadsheet to compute the corresponding column values in the Complete spreadsheet. Think of the Complete spreadsheet as a super-unnormalized version of the relationship matrix. The InInputRelation column values indicate whether a specific relation (and it’s companion source and target elements) are Core relations or Derived relations.

The workbook contains 4 spreadsheets (Derived, Complete, Elements, and Relations):

Derived spreadsheet – copy-and-pasted version of the outfile.csv from Step 4. The “input” spreadsheet.
Columns:
1. SourceElement
2. TargetElement
3. Relation
4. RelativeStrength
5. IsInputRelation
6. StandardVersion
7. ScriptVersion
Complete spreadsheet – leverages the master data in the Elements and Relations tabs to expand the columns in the Derived spreadsheet to include additional metadata property columns for the source and target elements as well as the relations. The “output” spreadsheet that will be saved as a CSV file in Step. 9.
Columns:
1. SourceElement
2. TargetElement
3. Relation
4. RelativeStrength
5. IsInputRelation
6. StandardVersion
7. ScriptVersion
8. RelationName
9. RelationLabel
10. RelationQualifiedLabel
11. RelationForwardVerbLabel
12. RelationReverseVerbLabel
13. RelationQualifiedForwardVerbLabel
14. RelationQualifiedReverseVerbLabel
15. SourceName
16. SourceLabel
17. SourceQualifiedLabel
18. TargetName
19. TargetLabel
20. TargetQualifiedLabel
21. SourceDomainName
22. SourceDomainLabel
23. SourceDomainQualifiedLabel
24. SourceAspectName
25. SourceAspectLabel
26. SourceAspectQualifiedLabel
27. TargetDomainName
28. TargetDomainLabel
29. TargetDomainQualifiedLabel
30. TargetAspectName
31. TargetAspectLabel
32. TargetAspectQualifiedLabel
Elements spreadsheet – master data attributes and values for each element prototype.
Columns:
1. ElementCode
2. ElementLabel
3. ElementName
4. ElementQualifiedLabel
5. DomainName
6. DomainLabel
7. DomainQualifiedLabel
8. AspectName
9. AspectLabel AspectQualifiedLabel
Relations spreadsheet – master data attributes and values for each relation prototype.
Columns:
1. RelationCode
2. RelationName
3. RelationQualifiedLabel
4. RelationForwardVerb
5. RelationQualifiedForwardVerb
6. RelationReverseVerb
7. RelationQualifiedReverseLabel

In Step 9, columns 4-32 of the Complete spreadsheet are saved as a separate CSV format file (using the same versioned file name as the parent workbook but with a suffix of .csv).

Also considered part of Step 9, the CSV file is imported into an empty Microsoft Access database. The datatype of the InInputRelation is changed to be a Yes/No (boolean) field. The database file is given the same name as the CSV file but with a suffix of .accdb.

Step 10 uses a series of Cypher Query Language (CQL) script files to create and populate a Neo4j graph database – to enable simple but powerful ad-hoc queries against the ArchiMate 3.0 relationship tables/metamodel.

Step 10.1. Merge all of Source and Target Element Prototypes

Script 1. Merge Source and Target Element Prototypes

Step 10.2. Label Elements with Element, Domain and Aspect Names

Script 2. Label Elements with Element, Domain and Aspect Names

Step 10.3 Create the Metamodel Relationships

TODO

Results

Use Cases

This section documents the results of the following use cases (queries against the Neo4j graph model):

All Business domain source and target element prototypes and all related Core and Derived relationships
All Core relationships where the source element prototype is from the Business domain
All Core relationships where the source and target element prototypes are from the Business domain
All Application domain source and target element prototypes and all related Core and Derived relationships
All Core relationships where the source and target element prototypes are from the Application domain
All Core and Derived relationships where the source and target element prototypes are from the Technology/Infrastructure domain
All Core relationships where the source and target element prototypes are from the Technology domain
All Core relationships where the source and target element prototypes are from the Technology domain and are identical to each other
All Core relationships where the source and target element prototypes are from the Technology domain and are different from each other (non-self referencing)
All Core and Derived relationships where the source and target element prototypes are from the Technology domain and are different from each other (non-self referencing)
All Core and Derived relationships where the source and target element prototypes are from the Technology domain and connected to the Node element prototype
All Core relationships where the source and target element prototypes belong to the Passive Structure aspect
All Core relationships where the source and target element prototypes belong to the Active Structure aspect
All Core relationships where the source and target element prototypes belong to the Behavior aspect

Use Case Results

Click on any of the figures to enlarge them in a separate browser tab.

Business Domain Use Case Results

Use Case 1: All Business domain source and target element prototypes and all related Core and Derived relationshipsUse Cases

Figure 8. is the result of an ad-hoc CQL query against all element prototypes in the Business domain; more specifically, where both the source and target element prototypes are in the Business domain.

Figure 8. All Business domain source and target element prototypes and all related Core and Derived relationships

Use Case 2: All Core relationships where the source element prototype is from the Business domain

Figure 9. is the result of an ad-hoc CQL query against all Core relationships where the source element prototype is from the Business domain.

Figure 9. All Core relationships where the source element prototype is from the Business domain

Use Case 3: All Core relationships where the source and target element prototypes are from the Business domain

Figure 10. is the result of an ad-hoc CQL query against all Core relationships where both the source and target element prototypes are from the Business domain.

Figure 10. All Core relationships where the source element prototype is from the Business domain

Application Domain Use Case Results

Use Case 4: All Application domain source and target element prototypes and all related Core and Derived relationships

Figure 11. is the result of an ad-hoc CQL query against all element prototypes in the Application domain; more specifically, where both the source and target element prototypes are in the Application domain.

Figure 11. All Application domain source and target element prototypes and all related Core and Derived relationships

Use Case 5: All Core relationships where the source and target element prototypes are from the Application domain

Figure 12. is the result of an ad-hoc CQL query against all Core and Derived relationships where the source element prototype is from the Application domain.

Figure 12. All Core relationships where the source and target element prototypes are from the Application domain

Technology Domain Use Case Results

Use Case 6: All Core and Derived relationships where the source and target element prototypes are from the Technology/Infrastructure domain

Figure 13. is the result of an ad-hoc CQL query against all Core relationships where both the source and target element prototypes are from the Technology/Infrastructure domain.

Figure 13. All Core and Derived relationships where the source and target element prototypes are from the Technology/Infrastructure domain

Use Case 7: All Core relationships where the source and target element prototypes are from the Technology domain

Figure 14. is the result of an ad-hoc CQL query against all Core relationships where both the source and target element prototypes are from the Technology domain.

Figure 14. All Core relationships where the source and target element prototypes are from the Technology domain

Use Case 8: All Core relationships where the source and target element prototypes are from the Technology domain and are identical to each other

Figure 15. is the result of an ad-hoc CQL query against all Core relationships where both the source and target element prototypes are from the Technology domain and are identical to each other.

Figure 15. All Core relationships where the source and target element prototypes are from the Technology domain and identical to each other

Use Case 9: All Core relationships where the source and target element prototypes are from the Technology domain and are different from each other (non-self referencing)

Figure 16. is the result of an ad-hoc CQL query against all Core relationships where both the source and target element prototypes are from the Technology domain and are different from each other (non-self referencing).

Figure 16. All Core relationships where the source and target element prototypes are from the Technology domain and different from each other (non-self referencing)

Use Case 10: All Core and Derived relationships where the source and target element prototypes are from the Technology domain and are different from each other (non-self referencing)

Figure 17. is the result of an ad-hoc CQL query against all Core and Derived relationships where both the source and target element prototypes are from the Technology domain and are different from each other (non-self referencing).

Figure 17. All Core and Derived relationships where the source and target element prototypes are from the Technology domain and are different from each other (non-self referencing)

Use Case 11: All Core and Derived relationships where the source and target element prototypes are from the Technology domain and connected to the Node element prototype

Figure 18. is the result of an ad-hoc CQL query against all Core and Derived relationships where both the source and target element prototypes are from the Technology domain and are connected to the Node element prototype.

Figure 18. All Core and Derived relationships where the source and target element prototypes are from the Technology domain and connected to the Node element prototype

Aspects Use Case Results: Passive Structure, Active Structure, Behavior

Use Case 12: All Core relationships where the source and target element prototypes belong to the Passive Structure aspect

Figure 19. is the result of an ad-hoc CQL query against all Core relationships where the source and target element prototypes belong to the Passive Structure aspect.

Figure 19. All Core relationships where the source and target element prototypes belong to the Passive Structure aspect

Use Case 13: All Core relationships where the source and target element prototypes belong to the Active Structure aspect

Figure 20. is the result of an ad-hoc CQL query against all Core relationships where the source and target element prototypes belong to the Active Structure aspect.

Figure 20. All Core relationships where the source and target element prototypes belong to the Active Structure aspect

Use Case 14: All Core relationships where the source and target element prototypes belong to the Behavior aspect

Figure 21. is the result of an ad-hoc CQL query against all Core relationships where the source and target element prototypes belong to the Behavior aspect.

Figure 21. All Core relationships where the source and target element prototypes belong to the Behavior aspect

Feedback

Please add your comments and feedback to the end of this article.

Best regards,
Michael Herman (Toronto)
Parallelspace Corporation
mwherman@parallelspace.net

*ArchiMate is a registered trademark of The Open Group.

1 Comment

Filed under ArchiMate, Architecture Reference Models, Automated Enterprise Architecture Modeling, Crossing the EA Charm, Definitions, Domain Specification Languages (DSL), Enterprise Architecture, Enterprise Architecture Chasm, graph database, Graphitization, ModelMate, ModelMate Information Architecture for ArchiMate, ModelMate Information Architecture for Languages, Progressive Enterprise Architecture Map (PEAM), The Open Group

Tagged as Archi, ArchiMate, Graphitization

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Monthly Archives: February 2017

Michael Herman: Award-winning Author, Invited Speaker, Illustrator, and Trainer

PARTIAL PORTFOLIO

Microsoft Live Communications Server

Microsoft SharePoint Products and Technologies

Microsoft Exchange Server

Metalogix Replicator for SharePoint

Microsoft “Alchemy”

Parallelspace Vulture

Tzunami K-Wise Deployer

#Graphitization of ArchiMate: Getting MMOR from ArchiMate using the ModelMate Master Online Repository

Crossing the EA Chasm: #Graphitization of ArchiMate 3.0 – Iteration 2

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Monthly Archives: February 2017

Michael Herman: Award-winning Author, Invited Speaker, Illustrator, and Trainer

PARTIAL PORTFOLIO

Microsoft Live Communications Server

Microsoft SharePoint Products and Technologies

Microsoft Exchange Server

Metalogix Replicator for SharePoint

Microsoft “Alchemy”

Parallelspace Vulture

Tzunami K-Wise Deployer

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#Graphitization of ArchiMate: Getting MMOR from ArchiMate using the ModelMate Master Online Repository

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Crossing the EA Chasm: #Graphitization of ArchiMate 3.0 – Iteration 2

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