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 |  **[[http://www.ndia.org/Divisions/Divisions/SystemsEngineering/Documents/Committees/M_S%20Committee/2011/February/NDIA-SE-MS_2011-02-15_Bergenthal.pdf|Final Report- Model Based Engineering (MBE) Subcommittee]]**  |  Presentation  |Bergenthal, Jeff. Final Report- Model Based Engineering (MBE) Subcommittee. NDIA Systems Engineering Division M&S Committee. February 2011.|The presentation provides the final report of the NDIA Model Based Engineering Subcommittee. It provides potential MBE benefits, costs and risks, the current and to-be MBE state and some recommendations for going forward.  In addition it provides a large collection of MBE related papers, see slides 33 through 37. On chart 11 it references some of those papers to the acquisition life cycle.|
 |  **{{:mbse:avsis_savi_program_proof_of_concept_demonstrations_don_ward_incose_mbse_workshop.pdf|AVSI’s SAVI Program: Proof of Concept Demonstrations}}**  |  Presentation  |Ward, Don. AVSI’s System Architecture Virtual Integration Program: Proof of Concept Demonstrations.  INCOSE IW 2013 MBSE Workshop. January 2013.|This presentation provides a summary description of the AVSI’s (Aerospace Vehicle Systems Institute) Systems Architecture Virtual Integration (SAVI) Proof of Concept project, it provides actual measured return on investment results of the project and it provides the next set of planned steps for the project.|
+|  **{{:mbse:how_product_development_organizations_can_achieve_long-term_savings_1_.pdf|How Product Development Organizations can Achieve Long-Term Cost Savings Using Model-Based Systems Engineering (MBSE)}}**  |  Paper Reference  |Krasner, Jerry. How Product Development Organizations can Achieve Long-Term Cost Savings Using Model-Based Systems Engineering (MBSE). October 2015.|A report by Embedded Market Forecasters (EMF), the market research division of American Technology International, Inc., reports measured improvements as a result of MBSE.  Their data set is based on 6 years of survey data totaling more than 4000 developer responses, and claims 95% +/- 3% statistical accuracy of conclusions from their 2015 data set. In summary, (1) MBSE delivers a 55% reduction in total development cost; (2) MBSE enables product-line engineering, which delivers a 42% reduction in cost compared to typical SE; (3) MBSE reduces design delays and cancellations, improves the relationship between pre-design expectations and final designs, enables faster completion of products, enables easy upgrades to meet new market opportunities, results in minimal redesign necessitated by changes in available hardware, minimizes the possibility of product recalls, and makes in-field support more cost effective because support personnel can more clearly understand design models and code.  |
 |  **[[http://agileelements.wordpress.com/2008/04/22/cost-of-software-defects/|Cost of Software Defects]]**  |  Web Reference  | Strickler,Jon. Cost of Software Defects. Agile Elements. April 22, 2008.| This web site provides metrics associated with defects found in different phases of the development cycle.   |
 |  **[[http://journal.thedacs.com/issue/52/146|Toward Model-Based Embedded System Validation through Virtual Integration]]**  |  Web Reference  | Feiler, P. H. & Hansson, J. Toward Model-Based Embedded System Validation through Virtual Integration. SoftwareTech. Vol. 12, No.4. 2010.| This paper describes the use of a model-based approach to reduce defects and identify defects earlier. |
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 |  {{:mbse:metrics:6_-_help_for_systems_of_systems_using_updm_and_ras_for_sos_modeling_-_matthew_hause_-_2015_ieee_aerospace_conf.pdf|Help for Systems of Systems Using UPDM and RAS for SoS Modeling}}  |  Paper Reference  | Hause, Matthew C., Help for Systems of Systems Using UPDM and RAS for SoS Modeling. Published and used by INCOSE with permission, 2013.| Systems of Systems (SoS) modeling is becoming important in both civilian and military systems. This paper shows how combining UPDM and RAS provides a Model of Models approach with the main model specifying assets in various levels of detail. The paper also includes an assessment of the applicability and effectiveness of this approach. The INCOSE System of Systems Working Group has collected a set of “Pain Points on SoS”. This paper provides review these pain points and discusses how the application of a Model of Model approach can help to alleviate them. |
 |  {{:mbse:metrics:8_-_buildingfortomorrow_is2015_-_david_long.pdf|Building for Tomorrow: Towards 21st Century Systems Engineering}}  |  Presentation  | Long, David.,  Building for Tomorrow: Towards 21st Century Systems Engineering. Published and used by INCOSE with permission, 2015 | This presentation provides insight as to the future of Systems Engineering, what some of the challenges we face today and how to overcome some of those challenges.  The following link provides a document with a  {{:mbse:metrics:9_-_buildingfortomorrow_is2015_-_david_long_-_timing_index.docx| YouTube link and chart timeline }} of the YouTube recording. |
-|  [[https://www.polarsys.org/capella/arcadia.html|Arcadia, a model-based engineering method]]  |  Link  | [[https://www.polarsys.org/capella/index.html | Polarsys/Capella]] |Arcadia is a model-based engineering method for systems, hardware and software architectural design. It has been developed by Thales between 2005 and 2010 through an iterative process involving operational architects from all the Thales business domains. Arcadia promotes a viewpoint-driven approach (as described in ISO/IEC 42010) and emphasizes a clear distinction between need and solution.|

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