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Industry & INCOSE Perspectives On SOS Architecting Critical Success Factors Paul Robitaille Director & Industry & INCOSE Perspectives On SOS Architecting Critical Success Factors Paul Robitaille Director & Corporate Fellow – Systems Engineering Lockheed Martin Corporation President, INCOSE paul. robitaille@lmco. com 1

Agenda - Definition of Architecture & Attributes of System & SOS Architectures - Observed Agenda - Definition of Architecture & Attributes of System & SOS Architectures - Observed Limitations in current practice - Key SOS Architecting Success Factors - Activities In Work to Advance the Practice 2

Architecture · Definition - The fundamental organization of a system (or SOS) embodied in Architecture · Definition - The fundamental organization of a system (or SOS) embodied in its components, their relationships to each other, and to the environment, and the principles guiding its design and evolution. (Source: IEEE 1471) · Purpose/Value - Provides a description of a system or system of systems that can support multiple stakeholder concerns · Operational Users – Describes how the system operates and the operational value in terms of the provided capabilities, interoperability, and MOE’s · Acquisition Executives – Provides comparison data to support acquisitions decisions in terms of systems contribution to the overall capabilities and MOE’s · Program Managers – Describes critical metrics for monitoring performance in terms of MOP’s, KPP’s, and CAIV · System Developers – Describes system, element, and component physical and functional characteristics, interfaces, and constraints · Architectural Description - Capabilities in terms of Doctrine, Training, Materiel, Personnel, Leadership, Facilities (DOTMPLF) - Operational environment - Interoperability requirements - Logical/Physical elements, topology, and their interfaces - Behavior - Performance and physical characteristics 3

Observed Architecting Limitations (DOD Context) · Inability to support capabilities-based planning processes with a Observed Architecting Limitations (DOD Context) · Inability to support capabilities-based planning processes with a useful architecture description of ends, ways, and means expressed as the full range of DOTMLPF architecture alternatives · Inability to support systems acquisition and portfolio planning/investment processes with an unambiguous way to compare architecture alternatives · Inability to integrate architecture descriptions with other systems engineering artifacts such as requirements specifications and engineering analyses · In general, not focusing on client-valued support to core organizational processes · In general, not producing results in the language of those who need them Although “pockets of good practice” do exist, architecting in general is failing to meet the expectations of its clients 4

Proposed Critical Success Factors Ensure the architecture definition can be used to answer the Proposed Critical Success Factors Ensure the architecture definition can be used to answer the specific questions under study for the stakeholders: 1. Data-centric, not product centric approach – yielding actionable architectures 2. Unambiguous, clear, and semantically rich views – (Remember Zachman’s principles!) 3. Identify the core set of architecture elements 4. Support executable architecture development & analysis 5. Be useful for more than just IT architecting 6. Support cost-benefit analyses 7. Enable federating / linking of architectures 8. Support structured / object modeling methodologies 9. Seamlessly fit within the broader set of SE process (Reference: Ring, Current State of Do. DAF / CADM v 1. 0 Architecting) 5

Multi-Level Systems Engineering Process Joint Warfighting Concepts Capability Based Analysis Enterprise System Engineerin g Multi-Level Systems Engineering Process Joint Warfighting Concepts Capability Based Analysis Enterprise System Engineerin g Program System Engineerin g Capability Verification Architecture Development Architecture Verification Coordinate / Support Development & Engineering Changes Stakeholder Requirement Stakeholder s Requirements Analysis Requirement s Analysis Architectu ral Synthesi Design s Synthesi s s. Implementation Synthesi s System Validation System Verification Integration Integration n Unit Test Architecting needs to link with a multi-level Systems Engineering Process 6

Related Development Research Activities - DODAF V 2. 0 WG · Delivery of Version Related Development Research Activities - DODAF V 2. 0 WG · Delivery of Version 1. 5 1 st Quarter 2007 · V 2. 0 - ensure required SE information is included to support stakeholder needs - DOD OUSD AT&L – DOD SOSE Guide Book – with support from INCOSE - Model Based Systems Engineering (MBSE) · Develop model based SE methods and techniques to facilitate SE-Design communications - ISO/IEC JTC 1/SC 7 WG 42 · New Group dedicated to architecture & linked to WG 7 (Life cycle processes) · Fast tracked IEEE 1471 into ISO/IEC 25961 which is planned for update - Object Management Group (OMG) · Drive detailed requirements for standard architecture representations (e. g. Sys. ML, UML Profile for DODAF/MODAF) for SE/So. SE - LM - Extending the SE Vee Model to Address SOS SE - Net Centric Operations Industry Consortium (NCOIC) · Support standard frameworks for interoperability and net centric strategies 7

INCOSE Architecture Working Group (AWG) Core Leadership Team · Dr. Harry Crisp INCOSE Fellow INCOSE Architecture Working Group (AWG) Core Leadership Team · Dr. Harry Crisp INCOSE Fellow · Mr. Hillary Sillitto INCOSE UK Chapter President Head of Integration Authority, MOD · Mr. Dennis De. Voti, P. E. Deputy Commissioning Officer NYC Transit - CPM · Mr. Sanford Friedenthal INCOSE Liaison to the OMG Chair, OMG Systems Engineering Domain Special Interest Group (SE DISG) Lockheed Martin · Mr. Dwayne Hardy American Systems Corporation Advisor to the Do. D Open Systems Joint Task Force (OSJTF) · Dr. Barry Boehm Professor of Software Engineering Director, USC Center for Software Engineering University of Southern California · Mr. James Martin INCOSE Head of Standards The Aerospace Corporation · Dr. Charles Dickerson Chair, INCOSE Architecture Working Group Technical Fellow, BAE Systems · Dr. William Crossley Associate Professor – Purdue University · Stuart Arnold Qinetiq 8

INCOSE AWG 2006 Activities · SE process integration with MDA standards: - Dwayne Hardy, INCOSE AWG 2006 Activities · SE process integration with MDA standards: - Dwayne Hardy, Sandy Friedenthal - UPDM initial submission to OMG uses Sys. ML (decision in Dec) - Possibility of INCOSE role in Do. DAF revision? · Architecture based cost estimation: (initial work posted) - Barry Boehm, Jo. Ann Lane, Thomas Tan · Relation of Architecting to SE: - Eileen Pimentel - Need to integrate with work on OSD (AT&L) So. S SE Guidebook · Utility of Architecture for decision support (late 2006) - Hillary Sillitto, Harry Crisp, C. Dickerson · Do. D SOSE Guide: - C. Dickerson & A. Meilich 9

INCOSE AWG Web Site · The web site is now operational on INCOSE Connect INCOSE AWG Web Site · The web site is now operational on INCOSE Connect · Relation of the web site to the AWG and INCOSE - Core working group/leaders (contributors to BOK; write authority) - Community of practice (AWG members have read access) - Community of interest (access of all INCOSE TBD) · Leaders are responsible for posting a focus area - Visibility as an incentive for progress · Ultimately the AWG web site should provide an open portal to a broader international community 10

SE Shared Vision Project · INCOSE Led Project to develop a consensus, community shared SE Shared Vision Project · INCOSE Led Project to develop a consensus, community shared vision for Systems Engineering · A follow-up comment adjudication meeting will be held on January 27 -30 in conjunction with the INCOSE International Workshop in Albuquerque, NM · Community Review Period From 30 October – 15 December 2006 - Version 2. 0 of SE Vision (PDF) - Review Guidance Sheet (MS Word) - Comment Submittal Sheet (Excel) 11

SE Vision V 2. 0 Findings Grand Challenges: · Multi-Dimensional mathematical model manager · SE Vision V 2. 0 Findings Grand Challenges: · Multi-Dimensional mathematical model manager · Evolutionary computational and generic algorithms to help explore the trade space · Quantitative risk management based on decision theory · Value and preference model to translate diverse stakeholder requirements · More comprehensive collaborative integrated development toolset that will support distributed large scale system and SOS development Maybe not Grand Challenges, but still Challenges needing work: · So. S “Grade” Baseline Management Techniques · Risk based processes with supporting measures and improved risk management techniques 12

Questions? 13 Questions? 13