An Introduction to Data Modeling

TES-SAVi Training Package Modeled using the TES-SAVi FAME tool suite

Version Alpha, dated February 2016

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Overview

• The FACE Challenge, the FACE Vision

• FACE Data Model Architecture – Data Model Architecture Overview

• Conceptual Model • Logical Model • Platform Model • Unit of Portability

• Summary

• Stick around for an Example – Real-time Data Modeling

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The FACETM Challenge

• Today’s military aviation airborne systems are “stove-piped” – developed to and for a unique set of requirements by a single vendor

• Embedded airworthy mission/safety-critical systems require extensive testing and they have extensive airworthy qualification requirements and processes, which affects the rapid deployment of capabilities across the military fleet of disparate platforms

• DoD Procurement does not support software systems reuse

• Missing is a place for Integrators to “shop” for Warfighting Capabilities that promote interoperability

• The “on-ramp” for understanding and developing to the FACE Standard and FACE Data Modeling eludes many

AWR Process Flow

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The FACETM Vision

Components of the FACETM Vision

Technical Standards for a software COE

Process Improvements for Portable andReusable Capabilities

New DoD Procurement Guidelines

A Military Software Store Front

•But still,…

• The “on-ramp” for understanding and developing to the FACE Standard and FACE Data Modeling eludes many, and is hampering product development

• This FACE Data Model Introduction provides insight, illustrates concepts, and presents an example FACE data model

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Data Model Architecture Overview

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• FACE Data Model • Top-down design methodology, through data refinement, eases integration

and reuse across FACE product line of integrated products • Serves as means to achieve specificity in interface definition • Provides data definition; semantic, quantitative measurement, physical

Our legend identifies levels of architecture models, as we traverse down the architecture

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Conceptual Data Model

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• Semantic Model • Defines world in textual descriptions

• Key Model Elements • Observable - Basic Element of Conceptual Data Model

• E.g. Distance, Velocity, Volume • Entity – Model Element with Attributes defined by Observables • View – Model Element consisting of grouping of Entity Attributes

Conceptual Meta Model

Logical Data Model

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• Measurement Model • Defines world in quantitative measurements

• Key Model Elements • Measurement - Basic Element of Logical Data Model

• E.g. Distance, AngularVelocity, VolumeMeasurement • Entity – Model Element with Attributes defined by Measurements • View - Model Element consisting of grouping of Entity Attributes

Logical Meta Model

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Platform Data Model

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• Physical Model • Defines data of model in physical representations

• Key Model Elements • IDL Type - Basic elements of Platform Data Model

• E.g Boolean, String, Double • Entity - Model Element with Attributes defined by IDL Type • View - Model Element consisting of grouping of Entity Attributes

Platform Meta Model

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Unit of Portability

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• Component and Interface Model • Defines the component and its interfaces

• Key Model Structures • Unit of Portability (UoP) - Defines component FACE segment and

profile • Message Ports - Define interface and data exchange characteristics

UoP Meta Model

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Summary

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• The FACE Data Modeling is challenging, but surmountable • The FACE Data Model Architecture is very useful

– Top-Down Design enables ease of Integration and Reuse – Multi-layers (Conceptual, Logical, Platform) serves to promote reuse – Serves as means to achieve specificity in interface definition – Provides data definition; semantic, quantitative measurement, physical

• There is an On-Ramp for Modeling – More in-depth training – Effective tools for manage development efforts

• Stick around to see an Example – using TES-SAVi’s FAME

– Illustration of a Real-time Data Modeling

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Questions

For additional Information visit www.TES-SAVi.com, or contact StephenS@TucsonEmbedded.com

An Introduction to Data Modeling

TES-SAVi Training Package Modeled using the TES-SAVi FAME tool suite

Version Alpha, dated February 2016

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Conceptual Models and Views

Logical Models and Views

Platform Models and Views

UoP Models and Views

Key Model Elements with

Attributes

TES-SAVi’s FAMETM

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Data Model Example – Using FAME

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• The FACE Data Modeling is challenging, but surmountable • The FACE Data Model Architecture is very useful

– Serves as means to achieve specificity in interface definition – Provides data definition; semantic, quantitative measurement, physical – Multi-layers (Conceptual, Logical, Platform) serves to promote reuse – Top-Down Design enables ease of Integration and Reuse

• On-Ramp for Modeling – More in-depth training – Effective tools for manage development efforts

• Stick Around to see an Example – using TES-SAVi’s FAME – Illustration of a Real-time Data Modeling

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The Problem Avionics Software Complexity

• Dramatic increase in the complexity of highly integrated Avionic Systems

• Current Business Practices (acquisition and development) are unaffordable. They cannot keep pace and deliver timely the advance capabilities needed to maintain warfighter dominance

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B787

Next Military Vehicle

Unaffordable!

F-35 ~9.5 Million SLOC ~17 yrs. Start->EIS GAO-12-437 page 18 6/2012

F/A-18

F-22

F-16 F-14

B-2

A-10

Avionics cost and complexity The unaffordable trend in modern systems

Time/Cost

Complexity/SLOC

S/W Integration Dominant

H/W Dominant

B737

B777

A300/B747

A320

A340

A380

Next Military Vehicle Possible!

B787 ~10 Million SLOC ~7 yrs. start->EIS Boeing quoted in NYC Aviation, 9/28/2011

GE’s CCS, “open” IMA computing and tools reset “the curve” for the Boeing 787 “…Paradoxically, some of the most complex areas - such as the software-intensive common core system [CCS] at the heart of the 787’s avionics and systems architecture - have proved robust and stable…CCS has been rock solid for us.” Scott Fancher, Boeing 787 vice president and general manager, 02/15/2010 Aviation Week & Space Technology

The Solution : FACE

• FACE Is – A Consortium of government and industry working together to

provide solutions to the big difficulties of aviation software

• FACE Provides – A technical standard and meta-model for developing software

applications/capabilities that can be hosted on well-defined Open System Architectures

– Guidelines for the acquisition of FACE products – Marketplace for FACE components

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