SlideShare une entreprise Scribd logo
1  sur  48
Télécharger pour lire hors ligne
Open CAESAR Initiative
INTRODUCING THE
Maged Elaasar, PhD (elaasar@jpl.nasa.gov)
IMCE Program Software Architect
January 24, 2019
Copyright 2019 California Institute of Technology. Government sponsorship acknowledged
MBSE Symposium
Approved for U.S. and foreign release under CL#19-0535
• Reference herein to any specific commercial product, process, or service
by trade name, trademark, manufacturer, or otherwise, does not
constitute or imply its endorsement by the United States Government or
the Jet Propulsion Laboratory, California Institute of Technology
2
Disclaimer
Key MBSE challenges
3
Challenges Mitigations
System modeling tools are too complex
and rigid to use for systems engineers
à
We need to use domain-specific tools to
lower the bar to entry and provide
curated libraries and model templates
Different projects create system models
differently making it hard to reuse or
analyze consistently à
We need to define modeling
methodologies and facilitate
conforming to them using tools
Heterogeneous tools are used in SE
because many discipline-specific analyses
are needed à
We need effective tool integration
strategies, facilitating cross tool linking
or interchange
Model content is rapidly changing as
work progresses, increasing risk, and
latency in decision making à
We need effective cross-tools
configuration management, change
management, and continuous
automated analysis
Models are being authored by separate
teams with different concerns/expertise
à
We need to enable federated multi-
viewpoint architecture with methods to
keep the viewpoints aligned
Standard model notation is not sufficient
to present their content and
communicate it to stakeholders à
We need ability to design custom
reporting viewpoints, automatically
generate and make them accessible
4
Modern MBSE process
Methodology Vocabulary
Authoring Viewpoint
Automated Analysis
Continuous Integration
Baseline Configuration
Reporting Viewpoint
Feedback Mechanism
Variant Configuration
Change Proposal
induces
conforms toautomates
authors
merges into
triggers
involves
produces
allows
generates
incorporates
Mostly not
rigorous or ill-
defined now
Not existent or has
no well-defined
semantics now
Typically fragmented across
tools with different schemas
and formats
Typically done sporadically
around milestones now
Not always
supported
now or
have poor
support
Typically run manually and
from client applications now
Typically limited to a few
standard viewpoints and
not easily accessible
Not always
clearly identified
Typically done ad-hoc and
hard to keep track of
Typically
done
manually with
no tool
support
• CAESAR stands for Computer Aided Engineering for Systems ARchitecture
– A software platform to enable an integrated model centric approach to SE
• Addresses key challenges with carrying out a scalable and agile MBSE process
• Enables a methodology-driven use of SE tools to perform SE functions
• Promotes reuse of existing technology while minimizing vendor lock-in
• Infuses development best practices learned from software engineering
5
What is CAESAR?
Integrated Model Centric Engineering
(IMCE)
Model Based Systems Engineering
(MBSE)
transforms into
The CAESAR Concept
6
CAESAR
CAESAR Ecosystem
Authoring Tools Analysis/Reporting Tools
• A semantic data warehouse system for MBSE
– Acquires information from SE authoring tools acting as data sources
– Curates, integrates, configuration manages SE information baseline in one place
– Verifies the consistency of federated information and measures precise differences
– Analyzes information, generates reports and proposes changes
System
Development
Team
System
Stakeholders
7
Key Functions
Information Authoring
Supports authoring information by
different tools, which can be existing tools
that have been adapted or new
methodology-specific tools
Information Representation
Supports representing information using
tool-neutral ontologies that have modular
design, expressive syntax & formal semantics
Information Analysis
Supports analyzing information with
reasoners and by other analysis tools
using published query end points and APIs
Information Configuration
Supports maintaining a baseline configuration
for information (as well as variant
configurations) and version controlling the
results of running integration workflows
Information Reporting
Supports authoring reports on information
to address different stakeholder concerns,
regenerating them when the integration
workflows rerun and organizing them in
accessible reporting dashboards
Information Integration
Supports defining methodology specific
integrating workflows for the information
fragments and proposing changes to keep
them consistent
• CAESAR represents Information as a set of ontologies expressed in the
Ontology Modeling Language (OML)
• OML is a tool-neutral representation that allows representing
information, exchanging it, and analyzing it using a variety of tools
• OML is designed after the W3C standard Web Ontology Language 2
(OWL2) making it expressive, modular and extensible
• OML has Description Logic semantics allowing reasoning with over-the-
shelf DL reasoners
8
Information representation
APIs
Exchange
formats
IDEs
Analysis
Formats
EMF
ScalaJS
REST
DSL
JSON
ZIP XMI
Eclipse
VS Code
Theia
RDF/SPARQL
Parquet/SQL
OML
Maps to
9
Information architecture
System Analysis
System Design
Application
Discipline
Foundation
Base MissionXSD ProjectAnalysis
V&V Behavior Requirements Structure
Fault
Protection
Ground
System
Electrical
specializes
specializes
Mechanical
Flight
System
System A Subsystem B
specializes
Subsystem C
:System A :Subsystem B :Subsystem C
Vocabulary Ontologies
(Project-independent)
User Ontologies
(Project-specific) Instance of
OML
CAESAR
• CAESAR enables authoring ontologies directly in OML textual/graphical
DSLs using one of its OML IDEs (Eclipse, VS Code, and Theia)
• CAESAR enables authoring ontologies using its own CAESAR IDE, a multi-
disciplinary modeling tool which can be extended with custom viewpoints
• CAESAR also enables authoring ontologies using third party tools that
have been adapted using a tool adapter (which supports bi-directional
transformations between OML and the tool’s native format)
10
Information authoring
Third Party Tool
Tool
Adapter
OML IDE
OML
OML
Native
Native
Tool
Adapter
CAESAR IDE
OML
Methodology
Extension
If needed
• CAESAR enables methodology-specific incremental integration of
ontology fragments (from different tools) into a unified dataset
• The integration methodology is specified as a workflow graph whose
nodes are configured with analysis scripts and that can be run manually
or automatically based on events
• CAESAR helps maintain consistency between the integrated fragments
by proposing changes to those fragments to restore consistency
11
Information integration
CAESARData Source
A
Data Source
C
Data Source
B
A
B
C
A+B
A+B+C
B+C
Every node runs
analysis scripts
Change proposal
Change Integration
Overlap
that needs to
be consistent
Fully
Integrated
model
• CAESAR supports query APIs and a query language (SPARQL), which
can be used by any tool to perform powerful analysis on the dataset
• CAESAR supports a rule language and some default analyses through
a DL reasoner like satisfiability analysis (every class can be
instantiated) and consistency checking (no contradictory axioms exist)
• CAESAR supports optimizing analysis pipelines by developing common
analyses building blocks that can be reused
12
Information analysis
CAESAR DL Reasoner
Audit
Framework
Satisfiability Analysis
Consistency Check
Well-formedness analysis
Query
endpoint & API
Notebooks, Mathematica,
etc.
Analysis Database
Map, Filter, Reduce
• CAESAR allows creating reports on datasets or their analysis results
using a variety of reporting tools to address stakeholders concerns
• Reports can be automatically produced during integration and stored
for efficient viewing later (historical reports are archived)
• Reports are published on a project portal, where they are organized in
categories and can be searched and viewed (with access control)
• Reports can be commented on and/or approved by stakeholders
13
Information reporting
CAESAR
Tool Adapters
• CAESAR allows a project to have a baseline configuration of data sources,
as well as variant configurations (representing change proposals)
• The project integration workflow can run on any configuration allowing the
impact of changes to be analyzed before merging them into baseline
• The entire history of integration (including datasets, analysis results and
reports) with full provenance is version controlled
• The configuration history enables provenance audit, trend analysis, as
well as the possibility for incremental analysis
14
Information configuration
v3
V2
V1
CAESARData Source
A’
Data Source
B
Data Source
A
A’
A
B
A’+B
A+B
15
CAESAR conceptual architecture
CAESAR Server
CAESAR Ecosystem
Adapter
CAESAR Client
API
Integration
Service
repository
Authoring
Tool
Reporting
Tool
Configuration
Service
Analysis
Service
Reporting
Service
C/M
Repository
Analysis
Repository
Adapter
repository
Analysis
Scripts
Analysis
Tool
Libraries /
Templates
CAESAR Hydrogen release : EFSE application
16
CAESAR Server
AdapterAdapter
API
Adapter
Repo
Reop
Electrical Functional Design
Wiring & Harnessing Design
System Decomposition
Repo
CAESAR
Workbench
EFSE
System Decomposition
Electrical Functional Design
Electrical
Functional Design
Adapter
Component List
Function List
Resource Reports
System
Block Diagram
Electric Schematics
AdapterAdapterRepo OML
Workbench
EFSE Vocabulary
• Currently, we have one multitenant deployment of CAESAR at JPL
– However, we can create separate deployments to large projects if needed
• Currently, the development team provides operational support
– However, we plan to train a separate Ops team in the future
17
CAESAR deployment and operation
Deployment
Mars
Sample Return
18
CAESAR@JPL
Engineering Development Office
Program Management Office
Integrated Model Centric Engineering
R&D Program
manages
supports
Leads
Software Architect
Engineering and Science
Directorate 3x
Systems Engineering & Formulation
Division 31
hosts sponsors
develops
Mars
Sample Return
……
19
CAESAR R&D roadmap
• Carried out initial product systems engineering
• Developed POC: mass management
• Developed minimal viable platform (MVP)
• Developed first application: Electrical Flight System Eng. *
• Rolled out first deployment
• Onboarded the EUROPA project
• Extending platform capabilities
• Developing the next set of applications*
• Mass management
• Power management
• Behavior specification
• Improving DevOps support
• Onboarding PSYCHE and MSR projects
• ...
FY17
FY18
FY19
FY20
* Our methodology is to develop applications in partnership with:
• Subject matter experts (practice owners)
• Engaged projects
20
Open CAESAR Initiative
Open
MBSE Vendors
MBSE SMEsMBSE Users
MBSE Researchers leads
ContributesContributes
• Open sourcing CAEDSAR on GitHub.com (https://open-caesar.github.io/ )
– Apache 2.0 license
– A repository is created for each separately released component
– A dev team is assigned to each repository
– Work packages are defined as GiHub Projects
• Information representation
– OML language definition and tooling
• Information architecture
– Vocabularies for SE disciplines / applications
• Information authoring
– Authoring tools and their adapter interfaces
• Information integration
– Infrastructure for integrating / synchronizing data sources
• Information analysis
– Analysis tools and their adapter interfaces
• Information reporting
– Reporting tools and their adapter interfaces
• Information configuration
– Infrastructure for variability, change proposal, provenance
• Example projects
– Case study projects to demonstrate ideas
21
Open CAESAR possible contributions
• We plan to create an Open CAESAR consortium
– The vision is to have the technology widely infused across the industry
– The mission is to collaborate with partners to realize the technology
• Why should you join?
– Users: collaborate closely to address shared MBSE challenges in practice
– Vendors: build better integration for your tools and technologies
– SMEs: influence the extensibility and customizability of the platform
– Researchers: access industrial case studies for your research
• How do you join?
– Send a statement of interest to collaborate from your team
– Present your R&D roadmap that intersects with Open CAESAR’s
22
Open CAESAR consortium
BACKUP
23
24
JPL Systems Engineering Domains
Project System
Flight System
Project
System Engineering
Flight
System Engineering
Mission System
Mission Operations
Systems Engineering
Subsystem X Subsystem Y
Spacecraft Bus System
Spacecraft
Systems Engineering
Instrument System
Instrument
Systems Engineering
Subsystem X Subsystem Y Subsystem X Subsystem Y
Program:
Level 1
Project:
Level 2
System:
Level 3
Subsystem:
Level 4
25
JPL 10 Systems Engineering Functions (Disciplines)
Define
architecture
Specify
requirements
Characterize and
analyze design
Manage technical resources
and performance
Define
interfaces
Perform verification
and validation
Conduct
reviews
Manage and
control change
Manage
risk
Manage
tasks
26
JPL Flight Systems Engineering Applications
Electrical Systems &
Signals
• Compositional System
Design Description Capture
• System Block Diagram
• Function Lists, Net Lists
• Electrical Flight Systems
Engineering
• Circuit Data Sheets
Functional and
Behavioral Design
• Scenario Definition, Planning
and Analysis
• Fault Protection Monitors and
Responses
• Functional Description
Document Generation
• Specification of FSW
behavioral design
• Power scenario analysis
• Data scenario analysis
Physical & Mechanical
Composition
• Compositional System
Design Description Capture
• Master Ref. Des. list
reconciled with drawing tree
• Mass Management Process /
MEL
• Mass Properties
Management
• Mapping Assembly
aggregations vs. Subsystem
Aggregations
27
OML example
Rover Navigation
∃ Performs
Component Function
Performs
Rover_A Navigation_A
r: Rover_A n: Navigation_A
∃ Performs
p:Performs
Mission
Terminology
Project
Design
Terminology
Project
Scenario
Description
open terminology https://flightsystem {
extends <https://mission>
concept Rover {
extends mission:Component
restrictsSome mission:Performs to Navigation
}
concept Navigation {
extends mission:Function
}
scalarDataProperty maxSpeed {
domain Navigation
range XMLSchema:decimal
}
scalarDataProperty speed {
domain Navigation
range XMLSchema:decimal
}
}
maxSpeed : decimal
speed : decimal
maxSpeed = 200.0
speed = 50.0
Flight System
Terminology
*0..1
closed description <https://project/scenario> {
extends <https:///project/design>
conceptInstance r : design:Rover_A
conceptInstance n : design:Navigation_A {
vzlueOf flightsystem:speed is 50.0
}
relationInstance p : mission:Performs {
from r
to n
}
}
closed terminology <https:/project/design> {
extends <https://flightsystem>
concept Rover_A {
extends flightsystem:Rover
restricsSome mission:Performs to Navigation_A
}
concept Navigation_A {
extends flightsystem:Navigation
restricts flightsystem:maxSpeed to 200.0
}
}
open terminology https://mission {
concept Component
concept Function
relation Performs {
from Component
to Function
inverseFunctional
}
}
OML Workbench
28
OML
Workbench
CAESAR Workbench: EFSE application
29
CAESAR web app
30
CAESAR web app (reporting perspective)
31
CAESAR web app (integration perspective)
32
33
CAESAR example reports
• OML Workbench
– Develop OML v2 as a language server and support new IDEs (Theia, Gitpod)
• CAESAR Workbench
– Improve collaboration support
– Improve validation support
– Improve authoring viewpoints
• CAESAR Server
– Refactor into micro services architecture (Lagom, Kafka, Event Sourcing, etc.)
– Support user authorization (roles)
– Orchestrate deployment with Cubernates
– Stand up three deployments on AWS: dev, staging, and op
• CAESAR Client
– Improve integration perspective
– Implement configuration perspective
– Support user-role based UI
• Tool Adapters
– Support document generation (bikeshed)
– Support diagram generation (SIFT / TSP)
– Support report generation (Jupiter Notebooks)
34
CAESAR platform R&D plan for FY19
35
CAESAR: OML language server
Eclipse
VS Code
Theia
Gitpod
OML
Language
Server
OML IDE
36
CAESAR SysML adapter
CAESAR Server
SysML
Model
Adapter
DSL
Vocabulary
Embedding in
SysML
DSL
Model
DSL
Profile or Library
Rover Navigation
∃ Performs
Component Function
Performs
maxSpeed : decimal
speed : decimal
«stereotype»
Rover
«stereotype»
Navigation
«stereotype»
Component
«stereotype»
Function
maxSpeed : decimal
speed : decimal
«stereotype»
SysML::Block
«metaclass»
UML::Dependency
Profile Embedding
«stereotype»
Performs
OML IDE
37
CAESAR vs. SysML v2
CAESAR Server
SysML 1.x
Model
AdapterAdapter
SysML 2.x
Model
v1.x
v2.x
DSL
Vocabulary
Em
bedded
in
SysM
L1.x
Em
bedded
in
SysM
L
2.x
Hopefully cleaner
mapping
DSL
Model
DSL
Profile
DSL
Profile
38
CAESAR vs. OSLC
CAESAR ServerRepo
AdapterOSLC
Adapter
Repo
Adapter
OSLC
OSLC
Native
Native
39
CAESAR vs. OpenMBEE
Model Management System
(MMS)
View Editor
Model Development Kit
(MDK)
Other SE Tools
Model Development Kit
(MDK)
CAESAR
Server
Adapter
OpenMBEE
CRUD CRUD
40
CAESAR vs. ModelBus
CAESAR
Server
Adapter
41
CAESAR vs. Syndeia
CAESAR
Server
Adapter
• Basic tooling:
– OML Abstract syntax, Java API, XMI interchange format (EMF)
– OML Textual syntax / language server (Xtext)
– OML Graphical syntax (Sprotty)
– OML Semantics by mapping to OWL (Jena)
• Other APIs:
– OML Scala functional API
– OML Java script API
– OML REST API
• Other interchange formats:
– OML JSON format
– OML Parquet format
– OML Zip format
42
CAESAR: information representation work packages
• Foundation vocabularies:
– Vocabulary for architecture description
– Vocabulary for architecture integration
– Vocabulary for diagram representation
• SE discipline vocabularies:
– Vocabulary for requirements
– Vocabulary for use cases
– Vocabulary for system structure
– Vocabulary for system behavior
– Vocabulary for V&V
– Vocabulary for I&T
• SE application vocabularies:
– Vocabularies for different application domains (aerospace, automotive, etc.)
43
CAESAR: information architecture work packages
• OML IDEs:
– OML IDE support in Eclipse (textual editor, graphical viewer, EMF frameworks)
– OML IDE support in Theia (textual editor, graphical viewer, Gitpod integration)
– OML IDE support in VS Code (textual editor)
• EMF-based tools:
– New EMF-based tool for existing OML vocabulary
– New OML vocabulary for an existing EMF-based tool
– Generic OML adapter CLI based on OML-EMF vocabulary mapping
• UML-based tools:
– New UML-based tool for existing OML vocabulary
– New OML vocabulary for an existing UML-based tool
– Generic OML adapter CLI based on OML-UML vocabulary mapping
• Other tools and technologies:
– Adapt to SE tools (Requirements, Testing, etc.)
– Incorporate emerging tools (VR/AR)
– Integrate smart (AI) digital assistants to facilitate authoring
44
CAESAR: information authoring work packages
• Continuous integration and delivery:
– Vocabulary for describing a model integration workflow
– Service to run a model integration workflow
– Service to publish the results of a model integration flow
• Proposing change deltas to integrated SE tools:
– Way to represent change delta in OML
– Framework to propose a change delta in OML
– Framework to apply the change delta in a given tool
45
CAESAR: information integration work packages
• Analysis on OML representation directly:
– Programmatic query API for OML
• Analysis using a triple store:
– Way to publish OML ontologies into a triple store
– SPARQL endpoint for OML
– Way to reason on OML with a DL reasoner
– Higher level query language for OML
• Analysis using relational database:
– Way to publish OML ontologies into a relational database
– SQL endpoint for OML
• Analysis using other analysis tools:
– Framework for descriptive, predictive, prescriptive analytics
– Framework for apply execution semantics
– Framework to perform co-simulation
46
CAESAR: information analysis work packages
• Ontology visualization on the web:
– Web-based widgets for visualizing OML ontologies
• Ontology reporting tools:
– Interfaces for OML ontologies in various reporting tools
– Way for reports to display change deltas
– Way to report on trends in the evolution history
• Reporting dashboards:
– Way to organize reports to make it easy to browse/search
– Way to review and comment OML ontologies
– Way to approve changes to OML ontologies
– Way to subscribe to changes in reports
• Interactive Reporting tools
– Tool to browse the contents of the OML ontologies
– Tool to assess impact of change to OML ontologies
– Tool to perform text search on OML ontologies
– Tool to integrate with smart digital assistant
47
CAESAR: information reporting work packages
• Configuration management of ontologies:
– Way to manage OML ontologies in a SCM repository
– Way to compare and merge ontologies in different repository configurations
– Way to propose changes and doing pull requests using configurations
48
CAESAR: information configuration work packages

Contenu connexe

Tendances

[Capella Day 2019] Model execution and system simulation in Capella
[Capella Day 2019] Model execution and system simulation in Capella[Capella Day 2019] Model execution and system simulation in Capella
[Capella Day 2019] Model execution and system simulation in Capella
Obeo
 
Capella Days 2021 | A STEP towards Model-based: Case Study covering Conceptua...
Capella Days 2021 | A STEP towards Model-based: Case Study covering Conceptua...Capella Days 2021 | A STEP towards Model-based: Case Study covering Conceptua...
Capella Days 2021 | A STEP towards Model-based: Case Study covering Conceptua...
Obeo
 
Hive + Tez: A Performance Deep Dive
Hive + Tez: A Performance Deep DiveHive + Tez: A Performance Deep Dive
Hive + Tez: A Performance Deep Dive
DataWorks Summit
 
Introduction to Capella and Arcadia with a Simple System
Introduction to Capella and Arcadia with a Simple SystemIntroduction to Capella and Arcadia with a Simple System
Introduction to Capella and Arcadia with a Simple System
Obeo
 

Tendances (20)

Zephyr: Creating a Best-of-Breed, Secure RTOS for IoT
Zephyr: Creating a Best-of-Breed, Secure RTOS for IoTZephyr: Creating a Best-of-Breed, Secure RTOS for IoT
Zephyr: Creating a Best-of-Breed, Secure RTOS for IoT
 
Management of modes and states with Capella
Management of modes and states with CapellaManagement of modes and states with Capella
Management of modes and states with Capella
 
SysML v2 and MBSE: The next ten years
SysML v2 and MBSE: The next ten yearsSysML v2 and MBSE: The next ten years
SysML v2 and MBSE: The next ten years
 
Azure Bicep - An Introduction
Azure Bicep - An IntroductionAzure Bicep - An Introduction
Azure Bicep - An Introduction
 
VMware Tanzu Introduction- June 11, 2020
VMware Tanzu Introduction- June 11, 2020VMware Tanzu Introduction- June 11, 2020
VMware Tanzu Introduction- June 11, 2020
 
Capella Days 2021 | How I pack my suitcase
Capella Days 2021 | How I pack my suitcaseCapella Days 2021 | How I pack my suitcase
Capella Days 2021 | How I pack my suitcase
 
Workflow Automation with Logic Apps
Workflow Automation with Logic AppsWorkflow Automation with Logic Apps
Workflow Automation with Logic Apps
 
[Capella Day 2019] Model execution and system simulation in Capella
[Capella Day 2019] Model execution and system simulation in Capella[Capella Day 2019] Model execution and system simulation in Capella
[Capella Day 2019] Model execution and system simulation in Capella
 
Migration d'une Architecture Microservice vers une Architecture Event-Driven ...
Migration d'une Architecture Microservice vers une Architecture Event-Driven ...Migration d'une Architecture Microservice vers une Architecture Event-Driven ...
Migration d'une Architecture Microservice vers une Architecture Event-Driven ...
 
Apache hive
Apache hiveApache hive
Apache hive
 
Docker & kubernetes
Docker & kubernetesDocker & kubernetes
Docker & kubernetes
 
Lecture 10: ML Testing & Explainability (Full Stack Deep Learning - Spring 2021)
Lecture 10: ML Testing & Explainability (Full Stack Deep Learning - Spring 2021)Lecture 10: ML Testing & Explainability (Full Stack Deep Learning - Spring 2021)
Lecture 10: ML Testing & Explainability (Full Stack Deep Learning - Spring 2021)
 
NoSQL MeetUp
NoSQL MeetUpNoSQL MeetUp
NoSQL MeetUp
 
Vector Search for Data Scientists.pdf
Vector Search for Data Scientists.pdfVector Search for Data Scientists.pdf
Vector Search for Data Scientists.pdf
 
Capella Days 2021 | A STEP towards Model-based: Case Study covering Conceptua...
Capella Days 2021 | A STEP towards Model-based: Case Study covering Conceptua...Capella Days 2021 | A STEP towards Model-based: Case Study covering Conceptua...
Capella Days 2021 | A STEP towards Model-based: Case Study covering Conceptua...
 
Hive + Tez: A Performance Deep Dive
Hive + Tez: A Performance Deep DiveHive + Tez: A Performance Deep Dive
Hive + Tez: A Performance Deep Dive
 
MBSE and the Business of Engineering
MBSE and the Business of EngineeringMBSE and the Business of Engineering
MBSE and the Business of Engineering
 
Apache Ranger
Apache RangerApache Ranger
Apache Ranger
 
Apache ignite v1.3
Apache ignite v1.3Apache ignite v1.3
Apache ignite v1.3
 
Introduction to Capella and Arcadia with a Simple System
Introduction to Capella and Arcadia with a Simple SystemIntroduction to Capella and Arcadia with a Simple System
Introduction to Capella and Arcadia with a Simple System
 

Similaire à Open CAESAR Initiative

Enterprise performance engineering solutions
Enterprise performance engineering solutionsEnterprise performance engineering solutions
Enterprise performance engineering solutions
Infosys
 
Analytix Mapping Manager Datasheet
Analytix Mapping Manager DatasheetAnalytix Mapping Manager Datasheet
Analytix Mapping Manager Datasheet
AnalytixDataServices
 
Sql Resume2010
Sql Resume2010Sql Resume2010
Sql Resume2010
gangchen01
 

Similaire à Open CAESAR Initiative (20)

IncQuery Group's presentation for the INCOSE Polish Chapter 20220310
IncQuery Group's presentation for the INCOSE Polish Chapter 20220310IncQuery Group's presentation for the INCOSE Polish Chapter 20220310
IncQuery Group's presentation for the INCOSE Polish Chapter 20220310
 
Software architecture
Software architectureSoftware architecture
Software architecture
 
IncQuery Suite demo for INCOSE 2022IW
IncQuery Suite demo for INCOSE 2022IWIncQuery Suite demo for INCOSE 2022IW
IncQuery Suite demo for INCOSE 2022IW
 
WINSEM2023-24_BCSE429L_TH_CH2023240501528_Reference_Material_III_S3-Homoheter...
WINSEM2023-24_BCSE429L_TH_CH2023240501528_Reference_Material_III_S3-Homoheter...WINSEM2023-24_BCSE429L_TH_CH2023240501528_Reference_Material_III_S3-Homoheter...
WINSEM2023-24_BCSE429L_TH_CH2023240501528_Reference_Material_III_S3-Homoheter...
 
Application Crisis avoidance six things you can do
Application Crisis avoidance  six things you can doApplication Crisis avoidance  six things you can do
Application Crisis avoidance six things you can do
 
CASE (Computer Aided Software Design)
CASE (Computer Aided Software Design)CASE (Computer Aided Software Design)
CASE (Computer Aided Software Design)
 
AutoML - Heralding a New Era of Machine Learning - CASOUG Oct 2021
AutoML - Heralding a New Era of Machine Learning - CASOUG Oct 2021AutoML - Heralding a New Era of Machine Learning - CASOUG Oct 2021
AutoML - Heralding a New Era of Machine Learning - CASOUG Oct 2021
 
Emerging standards and support organizations within engineering simulation
Emerging standards and support organizations within engineering simulation Emerging standards and support organizations within engineering simulation
Emerging standards and support organizations within engineering simulation
 
Machine Learning and AI at Oracle
Machine Learning and AI at OracleMachine Learning and AI at Oracle
Machine Learning and AI at Oracle
 
Enterprise performance engineering solutions
Enterprise performance engineering solutionsEnterprise performance engineering solutions
Enterprise performance engineering solutions
 
Analytix Mapping Manager Datasheet
Analytix Mapping Manager DatasheetAnalytix Mapping Manager Datasheet
Analytix Mapping Manager Datasheet
 
Data modelling tool in CASE
Data modelling tool in CASEData modelling tool in CASE
Data modelling tool in CASE
 
Agile Methodology Approach to SSRS Reporting
Agile Methodology Approach to SSRS ReportingAgile Methodology Approach to SSRS Reporting
Agile Methodology Approach to SSRS Reporting
 
Build, upgrade and connect your applications to the World
Build, upgrade and connect your applications to the WorldBuild, upgrade and connect your applications to the World
Build, upgrade and connect your applications to the World
 
Dagster - DataOps and MLOps for Machine Learning Engineers.pdf
Dagster - DataOps and MLOps for Machine Learning Engineers.pdfDagster - DataOps and MLOps for Machine Learning Engineers.pdf
Dagster - DataOps and MLOps for Machine Learning Engineers.pdf
 
Sql Resume2010
Sql Resume2010Sql Resume2010
Sql Resume2010
 
Trends in Embedded Software Engineering
Trends in Embedded Software EngineeringTrends in Embedded Software Engineering
Trends in Embedded Software Engineering
 
[2015/2016] Introduction to software architecture
[2015/2016] Introduction to software architecture[2015/2016] Introduction to software architecture
[2015/2016] Introduction to software architecture
 
Embedded system design challenges
Embedded system design challenges Embedded system design challenges
Embedded system design challenges
 
MLops on Vertex AI Presentation (AI/ML).pptx
MLops on Vertex AI Presentation (AI/ML).pptxMLops on Vertex AI Presentation (AI/ML).pptx
MLops on Vertex AI Presentation (AI/ML).pptx
 

Dernier

TECUNIQUE: Success Stories: IT Service provider
TECUNIQUE: Success Stories: IT Service providerTECUNIQUE: Success Stories: IT Service provider
TECUNIQUE: Success Stories: IT Service provider
mohitmore19
 
CALL ON ➥8923113531 🔝Call Girls Kakori Lucknow best sexual service Online ☂️
CALL ON ➥8923113531 🔝Call Girls Kakori Lucknow best sexual service Online  ☂️CALL ON ➥8923113531 🔝Call Girls Kakori Lucknow best sexual service Online  ☂️
CALL ON ➥8923113531 🔝Call Girls Kakori Lucknow best sexual service Online ☂️
anilsa9823
 
CALL ON ➥8923113531 🔝Call Girls Badshah Nagar Lucknow best Female service
CALL ON ➥8923113531 🔝Call Girls Badshah Nagar Lucknow best Female serviceCALL ON ➥8923113531 🔝Call Girls Badshah Nagar Lucknow best Female service
CALL ON ➥8923113531 🔝Call Girls Badshah Nagar Lucknow best Female service
anilsa9823
 
CHEAP Call Girls in Pushp Vihar (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Pushp Vihar (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICECHEAP Call Girls in Pushp Vihar (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Pushp Vihar (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
9953056974 Low Rate Call Girls In Saket, Delhi NCR
 

Dernier (20)

Hand gesture recognition PROJECT PPT.pptx
Hand gesture recognition PROJECT PPT.pptxHand gesture recognition PROJECT PPT.pptx
Hand gesture recognition PROJECT PPT.pptx
 
Microsoft AI Transformation Partner Playbook.pdf
Microsoft AI Transformation Partner Playbook.pdfMicrosoft AI Transformation Partner Playbook.pdf
Microsoft AI Transformation Partner Playbook.pdf
 
Unlocking the Future of AI Agents with Large Language Models
Unlocking the Future of AI Agents with Large Language ModelsUnlocking the Future of AI Agents with Large Language Models
Unlocking the Future of AI Agents with Large Language Models
 
Short Story: Unveiling the Reasoning Abilities of Large Language Models by Ke...
Short Story: Unveiling the Reasoning Abilities of Large Language Models by Ke...Short Story: Unveiling the Reasoning Abilities of Large Language Models by Ke...
Short Story: Unveiling the Reasoning Abilities of Large Language Models by Ke...
 
Try MyIntelliAccount Cloud Accounting Software As A Service Solution Risk Fre...
Try MyIntelliAccount Cloud Accounting Software As A Service Solution Risk Fre...Try MyIntelliAccount Cloud Accounting Software As A Service Solution Risk Fre...
Try MyIntelliAccount Cloud Accounting Software As A Service Solution Risk Fre...
 
Reassessing the Bedrock of Clinical Function Models: An Examination of Large ...
Reassessing the Bedrock of Clinical Function Models: An Examination of Large ...Reassessing the Bedrock of Clinical Function Models: An Examination of Large ...
Reassessing the Bedrock of Clinical Function Models: An Examination of Large ...
 
The Real-World Challenges of Medical Device Cybersecurity- Mitigating Vulnera...
The Real-World Challenges of Medical Device Cybersecurity- Mitigating Vulnera...The Real-World Challenges of Medical Device Cybersecurity- Mitigating Vulnera...
The Real-World Challenges of Medical Device Cybersecurity- Mitigating Vulnera...
 
Steps To Getting Up And Running Quickly With MyTimeClock Employee Scheduling ...
Steps To Getting Up And Running Quickly With MyTimeClock Employee Scheduling ...Steps To Getting Up And Running Quickly With MyTimeClock Employee Scheduling ...
Steps To Getting Up And Running Quickly With MyTimeClock Employee Scheduling ...
 
Tech Tuesday-Harness the Power of Effective Resource Planning with OnePlan’s ...
Tech Tuesday-Harness the Power of Effective Resource Planning with OnePlan’s ...Tech Tuesday-Harness the Power of Effective Resource Planning with OnePlan’s ...
Tech Tuesday-Harness the Power of Effective Resource Planning with OnePlan’s ...
 
W01_panagenda_Navigating-the-Future-with-The-Hitchhikers-Guide-to-Notes-and-D...
W01_panagenda_Navigating-the-Future-with-The-Hitchhikers-Guide-to-Notes-and-D...W01_panagenda_Navigating-the-Future-with-The-Hitchhikers-Guide-to-Notes-and-D...
W01_panagenda_Navigating-the-Future-with-The-Hitchhikers-Guide-to-Notes-and-D...
 
TECUNIQUE: Success Stories: IT Service provider
TECUNIQUE: Success Stories: IT Service providerTECUNIQUE: Success Stories: IT Service provider
TECUNIQUE: Success Stories: IT Service provider
 
SyndBuddy AI 2k Review 2024: Revolutionizing Content Syndication with AI
SyndBuddy AI 2k Review 2024: Revolutionizing Content Syndication with AISyndBuddy AI 2k Review 2024: Revolutionizing Content Syndication with AI
SyndBuddy AI 2k Review 2024: Revolutionizing Content Syndication with AI
 
A Secure and Reliable Document Management System is Essential.docx
A Secure and Reliable Document Management System is Essential.docxA Secure and Reliable Document Management System is Essential.docx
A Secure and Reliable Document Management System is Essential.docx
 
HR Software Buyers Guide in 2024 - HRSoftware.com
HR Software Buyers Guide in 2024 - HRSoftware.comHR Software Buyers Guide in 2024 - HRSoftware.com
HR Software Buyers Guide in 2024 - HRSoftware.com
 
call girls in Vaishali (Ghaziabad) 🔝 >༒8448380779 🔝 genuine Escort Service 🔝✔️✔️
call girls in Vaishali (Ghaziabad) 🔝 >༒8448380779 🔝 genuine Escort Service 🔝✔️✔️call girls in Vaishali (Ghaziabad) 🔝 >༒8448380779 🔝 genuine Escort Service 🔝✔️✔️
call girls in Vaishali (Ghaziabad) 🔝 >༒8448380779 🔝 genuine Escort Service 🔝✔️✔️
 
CALL ON ➥8923113531 🔝Call Girls Kakori Lucknow best sexual service Online ☂️
CALL ON ➥8923113531 🔝Call Girls Kakori Lucknow best sexual service Online  ☂️CALL ON ➥8923113531 🔝Call Girls Kakori Lucknow best sexual service Online  ☂️
CALL ON ➥8923113531 🔝Call Girls Kakori Lucknow best sexual service Online ☂️
 
CALL ON ➥8923113531 🔝Call Girls Badshah Nagar Lucknow best Female service
CALL ON ➥8923113531 🔝Call Girls Badshah Nagar Lucknow best Female serviceCALL ON ➥8923113531 🔝Call Girls Badshah Nagar Lucknow best Female service
CALL ON ➥8923113531 🔝Call Girls Badshah Nagar Lucknow best Female service
 
Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...
Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...
Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...
 
CHEAP Call Girls in Pushp Vihar (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Pushp Vihar (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICECHEAP Call Girls in Pushp Vihar (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Pushp Vihar (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
 
The Ultimate Test Automation Guide_ Best Practices and Tips.pdf
The Ultimate Test Automation Guide_ Best Practices and Tips.pdfThe Ultimate Test Automation Guide_ Best Practices and Tips.pdf
The Ultimate Test Automation Guide_ Best Practices and Tips.pdf
 

Open CAESAR Initiative

  • 1. Open CAESAR Initiative INTRODUCING THE Maged Elaasar, PhD (elaasar@jpl.nasa.gov) IMCE Program Software Architect January 24, 2019 Copyright 2019 California Institute of Technology. Government sponsorship acknowledged MBSE Symposium Approved for U.S. and foreign release under CL#19-0535
  • 2. • Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not constitute or imply its endorsement by the United States Government or the Jet Propulsion Laboratory, California Institute of Technology 2 Disclaimer
  • 3. Key MBSE challenges 3 Challenges Mitigations System modeling tools are too complex and rigid to use for systems engineers à We need to use domain-specific tools to lower the bar to entry and provide curated libraries and model templates Different projects create system models differently making it hard to reuse or analyze consistently à We need to define modeling methodologies and facilitate conforming to them using tools Heterogeneous tools are used in SE because many discipline-specific analyses are needed à We need effective tool integration strategies, facilitating cross tool linking or interchange Model content is rapidly changing as work progresses, increasing risk, and latency in decision making à We need effective cross-tools configuration management, change management, and continuous automated analysis Models are being authored by separate teams with different concerns/expertise à We need to enable federated multi- viewpoint architecture with methods to keep the viewpoints aligned Standard model notation is not sufficient to present their content and communicate it to stakeholders à We need ability to design custom reporting viewpoints, automatically generate and make them accessible
  • 4. 4 Modern MBSE process Methodology Vocabulary Authoring Viewpoint Automated Analysis Continuous Integration Baseline Configuration Reporting Viewpoint Feedback Mechanism Variant Configuration Change Proposal induces conforms toautomates authors merges into triggers involves produces allows generates incorporates Mostly not rigorous or ill- defined now Not existent or has no well-defined semantics now Typically fragmented across tools with different schemas and formats Typically done sporadically around milestones now Not always supported now or have poor support Typically run manually and from client applications now Typically limited to a few standard viewpoints and not easily accessible Not always clearly identified Typically done ad-hoc and hard to keep track of Typically done manually with no tool support
  • 5. • CAESAR stands for Computer Aided Engineering for Systems ARchitecture – A software platform to enable an integrated model centric approach to SE • Addresses key challenges with carrying out a scalable and agile MBSE process • Enables a methodology-driven use of SE tools to perform SE functions • Promotes reuse of existing technology while minimizing vendor lock-in • Infuses development best practices learned from software engineering 5 What is CAESAR? Integrated Model Centric Engineering (IMCE) Model Based Systems Engineering (MBSE) transforms into
  • 6. The CAESAR Concept 6 CAESAR CAESAR Ecosystem Authoring Tools Analysis/Reporting Tools • A semantic data warehouse system for MBSE – Acquires information from SE authoring tools acting as data sources – Curates, integrates, configuration manages SE information baseline in one place – Verifies the consistency of federated information and measures precise differences – Analyzes information, generates reports and proposes changes System Development Team System Stakeholders
  • 7. 7 Key Functions Information Authoring Supports authoring information by different tools, which can be existing tools that have been adapted or new methodology-specific tools Information Representation Supports representing information using tool-neutral ontologies that have modular design, expressive syntax & formal semantics Information Analysis Supports analyzing information with reasoners and by other analysis tools using published query end points and APIs Information Configuration Supports maintaining a baseline configuration for information (as well as variant configurations) and version controlling the results of running integration workflows Information Reporting Supports authoring reports on information to address different stakeholder concerns, regenerating them when the integration workflows rerun and organizing them in accessible reporting dashboards Information Integration Supports defining methodology specific integrating workflows for the information fragments and proposing changes to keep them consistent
  • 8. • CAESAR represents Information as a set of ontologies expressed in the Ontology Modeling Language (OML) • OML is a tool-neutral representation that allows representing information, exchanging it, and analyzing it using a variety of tools • OML is designed after the W3C standard Web Ontology Language 2 (OWL2) making it expressive, modular and extensible • OML has Description Logic semantics allowing reasoning with over-the- shelf DL reasoners 8 Information representation APIs Exchange formats IDEs Analysis Formats EMF ScalaJS REST DSL JSON ZIP XMI Eclipse VS Code Theia RDF/SPARQL Parquet/SQL OML Maps to
  • 9. 9 Information architecture System Analysis System Design Application Discipline Foundation Base MissionXSD ProjectAnalysis V&V Behavior Requirements Structure Fault Protection Ground System Electrical specializes specializes Mechanical Flight System System A Subsystem B specializes Subsystem C :System A :Subsystem B :Subsystem C Vocabulary Ontologies (Project-independent) User Ontologies (Project-specific) Instance of OML
  • 10. CAESAR • CAESAR enables authoring ontologies directly in OML textual/graphical DSLs using one of its OML IDEs (Eclipse, VS Code, and Theia) • CAESAR enables authoring ontologies using its own CAESAR IDE, a multi- disciplinary modeling tool which can be extended with custom viewpoints • CAESAR also enables authoring ontologies using third party tools that have been adapted using a tool adapter (which supports bi-directional transformations between OML and the tool’s native format) 10 Information authoring Third Party Tool Tool Adapter OML IDE OML OML Native Native Tool Adapter CAESAR IDE OML Methodology Extension If needed
  • 11. • CAESAR enables methodology-specific incremental integration of ontology fragments (from different tools) into a unified dataset • The integration methodology is specified as a workflow graph whose nodes are configured with analysis scripts and that can be run manually or automatically based on events • CAESAR helps maintain consistency between the integrated fragments by proposing changes to those fragments to restore consistency 11 Information integration CAESARData Source A Data Source C Data Source B A B C A+B A+B+C B+C Every node runs analysis scripts Change proposal Change Integration Overlap that needs to be consistent Fully Integrated model
  • 12. • CAESAR supports query APIs and a query language (SPARQL), which can be used by any tool to perform powerful analysis on the dataset • CAESAR supports a rule language and some default analyses through a DL reasoner like satisfiability analysis (every class can be instantiated) and consistency checking (no contradictory axioms exist) • CAESAR supports optimizing analysis pipelines by developing common analyses building blocks that can be reused 12 Information analysis CAESAR DL Reasoner Audit Framework Satisfiability Analysis Consistency Check Well-formedness analysis Query endpoint & API Notebooks, Mathematica, etc. Analysis Database Map, Filter, Reduce
  • 13. • CAESAR allows creating reports on datasets or their analysis results using a variety of reporting tools to address stakeholders concerns • Reports can be automatically produced during integration and stored for efficient viewing later (historical reports are archived) • Reports are published on a project portal, where they are organized in categories and can be searched and viewed (with access control) • Reports can be commented on and/or approved by stakeholders 13 Information reporting CAESAR Tool Adapters
  • 14. • CAESAR allows a project to have a baseline configuration of data sources, as well as variant configurations (representing change proposals) • The project integration workflow can run on any configuration allowing the impact of changes to be analyzed before merging them into baseline • The entire history of integration (including datasets, analysis results and reports) with full provenance is version controlled • The configuration history enables provenance audit, trend analysis, as well as the possibility for incremental analysis 14 Information configuration v3 V2 V1 CAESARData Source A’ Data Source B Data Source A A’ A B A’+B A+B
  • 15. 15 CAESAR conceptual architecture CAESAR Server CAESAR Ecosystem Adapter CAESAR Client API Integration Service repository Authoring Tool Reporting Tool Configuration Service Analysis Service Reporting Service C/M Repository Analysis Repository Adapter repository Analysis Scripts Analysis Tool Libraries / Templates
  • 16. CAESAR Hydrogen release : EFSE application 16 CAESAR Server AdapterAdapter API Adapter Repo Reop Electrical Functional Design Wiring & Harnessing Design System Decomposition Repo CAESAR Workbench EFSE System Decomposition Electrical Functional Design Electrical Functional Design Adapter Component List Function List Resource Reports System Block Diagram Electric Schematics AdapterAdapterRepo OML Workbench EFSE Vocabulary
  • 17. • Currently, we have one multitenant deployment of CAESAR at JPL – However, we can create separate deployments to large projects if needed • Currently, the development team provides operational support – However, we plan to train a separate Ops team in the future 17 CAESAR deployment and operation Deployment Mars Sample Return
  • 18. 18 CAESAR@JPL Engineering Development Office Program Management Office Integrated Model Centric Engineering R&D Program manages supports Leads Software Architect Engineering and Science Directorate 3x Systems Engineering & Formulation Division 31 hosts sponsors develops Mars Sample Return ……
  • 19. 19 CAESAR R&D roadmap • Carried out initial product systems engineering • Developed POC: mass management • Developed minimal viable platform (MVP) • Developed first application: Electrical Flight System Eng. * • Rolled out first deployment • Onboarded the EUROPA project • Extending platform capabilities • Developing the next set of applications* • Mass management • Power management • Behavior specification • Improving DevOps support • Onboarding PSYCHE and MSR projects • ... FY17 FY18 FY19 FY20 * Our methodology is to develop applications in partnership with: • Subject matter experts (practice owners) • Engaged projects
  • 20. 20 Open CAESAR Initiative Open MBSE Vendors MBSE SMEsMBSE Users MBSE Researchers leads ContributesContributes • Open sourcing CAEDSAR on GitHub.com (https://open-caesar.github.io/ ) – Apache 2.0 license – A repository is created for each separately released component – A dev team is assigned to each repository – Work packages are defined as GiHub Projects
  • 21. • Information representation – OML language definition and tooling • Information architecture – Vocabularies for SE disciplines / applications • Information authoring – Authoring tools and their adapter interfaces • Information integration – Infrastructure for integrating / synchronizing data sources • Information analysis – Analysis tools and their adapter interfaces • Information reporting – Reporting tools and their adapter interfaces • Information configuration – Infrastructure for variability, change proposal, provenance • Example projects – Case study projects to demonstrate ideas 21 Open CAESAR possible contributions
  • 22. • We plan to create an Open CAESAR consortium – The vision is to have the technology widely infused across the industry – The mission is to collaborate with partners to realize the technology • Why should you join? – Users: collaborate closely to address shared MBSE challenges in practice – Vendors: build better integration for your tools and technologies – SMEs: influence the extensibility and customizability of the platform – Researchers: access industrial case studies for your research • How do you join? – Send a statement of interest to collaborate from your team – Present your R&D roadmap that intersects with Open CAESAR’s 22 Open CAESAR consortium
  • 24. 24 JPL Systems Engineering Domains Project System Flight System Project System Engineering Flight System Engineering Mission System Mission Operations Systems Engineering Subsystem X Subsystem Y Spacecraft Bus System Spacecraft Systems Engineering Instrument System Instrument Systems Engineering Subsystem X Subsystem Y Subsystem X Subsystem Y Program: Level 1 Project: Level 2 System: Level 3 Subsystem: Level 4
  • 25. 25 JPL 10 Systems Engineering Functions (Disciplines) Define architecture Specify requirements Characterize and analyze design Manage technical resources and performance Define interfaces Perform verification and validation Conduct reviews Manage and control change Manage risk Manage tasks
  • 26. 26 JPL Flight Systems Engineering Applications Electrical Systems & Signals • Compositional System Design Description Capture • System Block Diagram • Function Lists, Net Lists • Electrical Flight Systems Engineering • Circuit Data Sheets Functional and Behavioral Design • Scenario Definition, Planning and Analysis • Fault Protection Monitors and Responses • Functional Description Document Generation • Specification of FSW behavioral design • Power scenario analysis • Data scenario analysis Physical & Mechanical Composition • Compositional System Design Description Capture • Master Ref. Des. list reconciled with drawing tree • Mass Management Process / MEL • Mass Properties Management • Mapping Assembly aggregations vs. Subsystem Aggregations
  • 27. 27 OML example Rover Navigation ∃ Performs Component Function Performs Rover_A Navigation_A r: Rover_A n: Navigation_A ∃ Performs p:Performs Mission Terminology Project Design Terminology Project Scenario Description open terminology https://flightsystem { extends <https://mission> concept Rover { extends mission:Component restrictsSome mission:Performs to Navigation } concept Navigation { extends mission:Function } scalarDataProperty maxSpeed { domain Navigation range XMLSchema:decimal } scalarDataProperty speed { domain Navigation range XMLSchema:decimal } } maxSpeed : decimal speed : decimal maxSpeed = 200.0 speed = 50.0 Flight System Terminology *0..1 closed description <https://project/scenario> { extends <https:///project/design> conceptInstance r : design:Rover_A conceptInstance n : design:Navigation_A { vzlueOf flightsystem:speed is 50.0 } relationInstance p : mission:Performs { from r to n } } closed terminology <https:/project/design> { extends <https://flightsystem> concept Rover_A { extends flightsystem:Rover restricsSome mission:Performs to Navigation_A } concept Navigation_A { extends flightsystem:Navigation restricts flightsystem:maxSpeed to 200.0 } } open terminology https://mission { concept Component concept Function relation Performs { from Component to Function inverseFunctional } }
  • 29. CAESAR Workbench: EFSE application 29
  • 31. CAESAR web app (reporting perspective) 31
  • 32. CAESAR web app (integration perspective) 32
  • 34. • OML Workbench – Develop OML v2 as a language server and support new IDEs (Theia, Gitpod) • CAESAR Workbench – Improve collaboration support – Improve validation support – Improve authoring viewpoints • CAESAR Server – Refactor into micro services architecture (Lagom, Kafka, Event Sourcing, etc.) – Support user authorization (roles) – Orchestrate deployment with Cubernates – Stand up three deployments on AWS: dev, staging, and op • CAESAR Client – Improve integration perspective – Implement configuration perspective – Support user-role based UI • Tool Adapters – Support document generation (bikeshed) – Support diagram generation (SIFT / TSP) – Support report generation (Jupiter Notebooks) 34 CAESAR platform R&D plan for FY19
  • 35. 35 CAESAR: OML language server Eclipse VS Code Theia Gitpod OML Language Server
  • 36. OML IDE 36 CAESAR SysML adapter CAESAR Server SysML Model Adapter DSL Vocabulary Embedding in SysML DSL Model DSL Profile or Library Rover Navigation ∃ Performs Component Function Performs maxSpeed : decimal speed : decimal «stereotype» Rover «stereotype» Navigation «stereotype» Component «stereotype» Function maxSpeed : decimal speed : decimal «stereotype» SysML::Block «metaclass» UML::Dependency Profile Embedding «stereotype» Performs
  • 37. OML IDE 37 CAESAR vs. SysML v2 CAESAR Server SysML 1.x Model AdapterAdapter SysML 2.x Model v1.x v2.x DSL Vocabulary Em bedded in SysM L1.x Em bedded in SysM L 2.x Hopefully cleaner mapping DSL Model DSL Profile DSL Profile
  • 38. 38 CAESAR vs. OSLC CAESAR ServerRepo AdapterOSLC Adapter Repo Adapter OSLC OSLC Native Native
  • 39. 39 CAESAR vs. OpenMBEE Model Management System (MMS) View Editor Model Development Kit (MDK) Other SE Tools Model Development Kit (MDK) CAESAR Server Adapter OpenMBEE CRUD CRUD
  • 42. • Basic tooling: – OML Abstract syntax, Java API, XMI interchange format (EMF) – OML Textual syntax / language server (Xtext) – OML Graphical syntax (Sprotty) – OML Semantics by mapping to OWL (Jena) • Other APIs: – OML Scala functional API – OML Java script API – OML REST API • Other interchange formats: – OML JSON format – OML Parquet format – OML Zip format 42 CAESAR: information representation work packages
  • 43. • Foundation vocabularies: – Vocabulary for architecture description – Vocabulary for architecture integration – Vocabulary for diagram representation • SE discipline vocabularies: – Vocabulary for requirements – Vocabulary for use cases – Vocabulary for system structure – Vocabulary for system behavior – Vocabulary for V&V – Vocabulary for I&T • SE application vocabularies: – Vocabularies for different application domains (aerospace, automotive, etc.) 43 CAESAR: information architecture work packages
  • 44. • OML IDEs: – OML IDE support in Eclipse (textual editor, graphical viewer, EMF frameworks) – OML IDE support in Theia (textual editor, graphical viewer, Gitpod integration) – OML IDE support in VS Code (textual editor) • EMF-based tools: – New EMF-based tool for existing OML vocabulary – New OML vocabulary for an existing EMF-based tool – Generic OML adapter CLI based on OML-EMF vocabulary mapping • UML-based tools: – New UML-based tool for existing OML vocabulary – New OML vocabulary for an existing UML-based tool – Generic OML adapter CLI based on OML-UML vocabulary mapping • Other tools and technologies: – Adapt to SE tools (Requirements, Testing, etc.) – Incorporate emerging tools (VR/AR) – Integrate smart (AI) digital assistants to facilitate authoring 44 CAESAR: information authoring work packages
  • 45. • Continuous integration and delivery: – Vocabulary for describing a model integration workflow – Service to run a model integration workflow – Service to publish the results of a model integration flow • Proposing change deltas to integrated SE tools: – Way to represent change delta in OML – Framework to propose a change delta in OML – Framework to apply the change delta in a given tool 45 CAESAR: information integration work packages
  • 46. • Analysis on OML representation directly: – Programmatic query API for OML • Analysis using a triple store: – Way to publish OML ontologies into a triple store – SPARQL endpoint for OML – Way to reason on OML with a DL reasoner – Higher level query language for OML • Analysis using relational database: – Way to publish OML ontologies into a relational database – SQL endpoint for OML • Analysis using other analysis tools: – Framework for descriptive, predictive, prescriptive analytics – Framework for apply execution semantics – Framework to perform co-simulation 46 CAESAR: information analysis work packages
  • 47. • Ontology visualization on the web: – Web-based widgets for visualizing OML ontologies • Ontology reporting tools: – Interfaces for OML ontologies in various reporting tools – Way for reports to display change deltas – Way to report on trends in the evolution history • Reporting dashboards: – Way to organize reports to make it easy to browse/search – Way to review and comment OML ontologies – Way to approve changes to OML ontologies – Way to subscribe to changes in reports • Interactive Reporting tools – Tool to browse the contents of the OML ontologies – Tool to assess impact of change to OML ontologies – Tool to perform text search on OML ontologies – Tool to integrate with smart digital assistant 47 CAESAR: information reporting work packages
  • 48. • Configuration management of ontologies: – Way to manage OML ontologies in a SCM repository – Way to compare and merge ontologies in different repository configurations – Way to propose changes and doing pull requests using configurations 48 CAESAR: information configuration work packages