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System Safety Engineering: Back to the Future
System Safety Engineering: Back To The Future Nancy G. Leveson Aeronautics and Astronautics Massachusetts Institute of Technology c Copyright by the author June 2002. All rights reserved. Copying without fee is permitted provided that the copies are not made or distributed for direct commercial advantage and provided that credit to the source is given. Abstracting with credit is permitted. i We pretend that technology, our technology, is something of a life force, a will, and a thrust of its own, on which we can blame all, with which we can explain all, and in the end by means of which we can excuse ourselves. — T. Cuyler Young ManinNature DEDICATION: To all the great engineers who taught me system safety engineering, particularly Grady Lee who believed in me, and to C.O. Miller who started us all down this path. Also to Jens Rasmussen, whose pioneering work in Europe on applying systems thinking to engineering for safety, in parallel with the system safety movement in the United States, started a revolution. ACKNOWLEDGEMENT: The research that resulted in this book was partially supported by research grants from the NSF ITR program, the NASA Ames Design For Safety (Engineering for Complex Systems) program, the NASA Human-Centered Computing, and the NASA Langley System Archi- tecture Program (Dave Eckhart). program. Preface I began my adventure in system safety after completing graduate studies in computer science and joining the faculty of a computer science department. In the first week at my new job, I received a call from Marion Moon, a system safety engineer at what was then Ground Systems Division of Hughes Aircraft Company. -
Manuscript Instructions/Template
INCOSE Working Group Addresses System and Software Interfaces Sarah Sheard, Ph.D. Rita Creel CMU Software Engineering Institute CMU Software Engineering Institute (412) 268-7612 (703) 247-1378 [email protected] [email protected] John Cadigan Joseph Marvin Prime Solutions Group, Inc. Prime Solutions Group, Inc. (623) 853-0829 (623) 853-0829 [email protected] [email protected] Leung Chim Michael E. Pafford Defence Science & Technology Group Johns Hopkins University +61 (0) 8 7389 7908 (301) 935-5280 [email protected] [email protected] Copyright © 2018 by the authors. Published and used by INCOSE with permission. Abstract. In the 21st century, when any sophisticated system has significant software content, it is increasingly critical to articulate and improve the interface between systems engineering and software engineering, i.e., the relationships between systems and software engineering technical and management processes, products, tools, and outcomes. Although systems engineers and software engineers perform similar activities and use similar processes, their primary responsibilities and concerns differ. Systems engineers focus on the global aspects of a system. Their responsibilities span the lifecycle and involve ensuring the various elements of a system—e.g., hardware, software, firmware, engineering environments, and operational environments—work together to deliver capability. Software engineers also have responsibilities that span the lifecycle, but their focus is on activities to ensure the software satisfies software-relevant system requirements and constraints. Software engineers must maintain sufficient knowledge of the non-software elements of the systems that will execute their software, as well as the systems their software must interface with. -
Infrastructure (Resilience-Oriented) Modelling Language: I®ML
Infrastructure (Resilience-oriented) Modelling Language: I®ML A proposal for modelling infrastructures and their interconnections Andrés Silva, Roberto Filippini EUR 24727 EN - 2011 The mission of the JRC-IPSC is to provide research results and to support EU policy-makers in their effort towards global security and towards protection of European citizens from accidents, deliberate attacks, fraud and illegal actions against EU policies. European Commission Joint Research Centre Institute for the Protection and Security of the Citizen Contact information Address: TP 210, EC JRC Ispra, Ispra (Va) Italy E-mail: [email protected] Tel.: +39 0332 789936 Fax: http://ipsc.jrc.ec.europa.eu/ http://www.jrc.ec.europa.eu/ Legal Notice Neither the European Commission nor any person acting on behalf of the Commission is responsible for the use which might be made of this publication. Europe Direct is a service to help you find answers to your questions about the European Union Freephone number (*): 00 800 6 7 8 9 10 11 (*) Certain mobile telephone operators do not allow access to 00 800 numbers or these calls may be billed. A great deal of additional information on the European Union is available on the Internet. It can be accessed through the Europa server http://europa.eu/ JRC 63302 EUR 24727 EN ISBN 978-92-79-19324-8 ISSN 1018-5593 doi:10.2788/54708 Luxembourg: Publications Office of the European Union © European Union, 2011 Reproduction is authorised provided the source is acknowledged Printed in Italy Infrastructure (Resilience-oriented) Modelling Language: I®ML A proposal for modelling infrastructures and their connections Andrés Silva1 Roberto Filippini Universidad Politécnica de Madrid JRC of the European Commission Abstract The modelling of critical infrastructures (CIs) is an important issue that needs to be properly addressed, for several reasons. -
IS2018 Book of Abstract
th Annual INCOSE 28 international symposium Washington, DC, USA July 7 - 12, 2018 Delivering Systems in the Age of Globalization Status as of May 15 th , 2018 Book of Abstract Table of contents keynotes ............................................................................................................................................................................... p. 7 keynotes#Keynote#2: The Big Shift: Innovation and Systems Engineering ................................................................ p. 7 Papers .................................................................................................................................................................................. p. 8 Papers#107: A Framework for Concept and its Testing on Patents ............................................................................ p. 8 Papers#75: A Framework for Testability Analysis from System Architecture Perspective .......................................... p. 9 Papers#128: A Framework for Understanding Systems Principles and Methods .......................................................p. 10 Papers#31: A fresh look at Systems Engineering - what is it, how should it work? .....................................................p. 11 Papers#35: A Hybrid Liver-Candidate Transportation System to Improve Accessibility and Extend Organ Life in L ..p. 12 Papers#55: A Novel “Resilience Viewpoint” to aid in Engineering Resilience in Systems of Systems (SoS) .............p. 13 Papers#97: A successful use of systems approaches in -
Transport Network Architecture
T MU AM 06011 TI Technical Information Transport Network Architecture Version0 1. Issued date: 29 March 2017 © State of NSW through Transport for NSW 2017 Superseded by T MU AM 06011 v2.0, 11/07/2017 TI T MU AM 06011 TI Transport Network Architecture Version 1.0 Issued date: 29 March 2017 Important message This document is one of a set of standards developed solely and specifically for use on Transport Assets (as defined in the Asset Standards Authority Charter). It is not suitable for any other purpose. The copyright and any other intellectual property in this document will at all times remain the property of the State of New South Wales (Transport for NSW). You must not use or adapt this document or rely upon it in any way unless you are providing products or services to a NSW Government agency and that agency has expressly authorised you in writing to do so. If this document forms part of a contract with, or is a condition of approval by a NSW Government agency, use of the document is subject to the terms of the contract or approval. To be clear, the content of this document is not licensed under any Creative Commons Licence. This document may contain third party material. The inclusion of third party material is for illustrative purposes only and does not represent an endorsement by NSW Government of any third party product or service. If you use this document or rely upon it without authorisation under these terms, the State of New South Wales (including Transport for NSW) and its personnel does not accept any liability to you or any other person for any loss, damage, costs and expenses that you or anyone else may suffer or incur from your use and reliance on the content contained in this document. -
Model for Safety Case Modeling and Documentation
SAFE – an ITEA2 project D3.1.3 Contract number: ITEA2 – 10039 Safe Automotive soFtware architEcture (SAFE) ITEA Roadmap application domains: Major: Services, Systems & Software Creation Minor: Society ITEA Roadmap technology categories: Major: Systems Engineering & Software Engineering Minor 1: Engineering Process Support WP3 Deliverable D3.1.3: Proposal for extension of Meta- model for safety case modeling and documentation Due date of deliverable: 31/03/2013 Actual submission date: 28/03/2013 Start date of the project: 01/07/2011 Duration: 36 months Project coordinator name: Stefan Voget Organization name of lead contractor for this deliverable: fortiss Editor: Maged Khalil (fortiss GmbH) Contributors: Maged Khalil (fortiss GmbH), Eduard Metzker (Vector Informatik GmbH) Reviewers: Eduard Metzker (Vector Informatik GmbH) 2013 The SAFE Consortium 1 (50) SAFE – an ITEA2 project D3.1.3 Revision chart and history log Version Date Reason 0.1 2012-09-19 Initialization of document 0.2 2012-10-18 Input to Introduction Section 4 0.3 2012-11-07 Input to Overview on ISO Section 5 0.4 2012-11-16 Input to EAST-ADL Overview Section 7 0.5 2012-11-16 Input to Overview on ISO Section 5 0.6 2012-11-23 Input to Methodology Section 6 0.7 2012-11-29 Further Input to Methodology Section 6 0.8 2012-12-20 Editing and Input in various sections 0.9 2013-02-13 Input to SAFE Meta-model Contribution Section 8 0.10 2013-02-15 Introduction of Patterns Section 6.3 0.11 2013-03-08 Editing and Input in various sections 0.12 2013-03-24 First version ready for review 0.13 2013-03-26 Incorporation of first review comments 0.14 2013-03-27 Updated version reviewed. -
Systems Theoretic Process Analysis (STPA): a Bibliometric and Patents Analysis
ORIGINAL ARTICLE Systems Theoretic Process Analysis (STPA): a bibliometric and patents analysis Modelo teórico - Sistêmico de Análise de Processos (STPA): uma análise bibliométrica e de patentes Sarah Francisca De Souza Borges1 , Marco Antônio Fontoura De Albuquerque1 , Moacyr Machado Cardoso Junior1 , Mischel Carmen Neyra Belderrain1 , Luís Eduardo Loures Da Costa1 1Área de Gestão Tecnológica do Programa de Ciências e Tecnologias Espaciais – CTE/G, Instituto Tecnológico De Aeronáutica - ITA, São José dos Campos, SP, Brasil. E-mail: [email protected]; [email protected]; [email protected]; [email protected]; [email protected] How to cite: Borges, S. F. S., Albuquerque, M. A. F., Cardoso Junior, M. M., Belderrain, M. C. N. & Costa, L. E. L. (2021). Systems Theoretic Process Analysis (STPA): a bibliometric and patents analysis. Gestão & Produção, 28(2), e5073. https://doi.org/10.1590/1806-9649-2020v28e5073 Abstract: The Systemic Theoretical Process Analysis (STPA) model is used for hazard analysis and accident prevention, based on systemic thinking and the identification of causal scenarios, created by Professor Nancy Leveson of the Institute of Technology of Massachusetts (MIT). The purpose of this article is to perform a bibliometric and patent analysis of the STPA model. Since bibliometry is an important tool in the analysis of scientific production, this method is used as a descriptive statistic, for the purposes of this study, the concepts of Goffman's Epidemic Theory were highlighted, under a mainly qualitative analysis, for a study of decline and ascent scientific method. For the bibliometric analysis, the main page of Professor Nancy Leveson was used in MIT's Web site, besides the Web of Science, Mendeley, ResearchGate, Village of Engineering and Scientific Electronic Library Online (SciELO). -
An Annotated Bibliography for ISO/IEC/IEEE 42010
An Annotated Bibliography for ISO/IEC/IEEE 42010 version 4.4.b October 15, 2020 Introduction An annotated bibliography of papers, reports and books on topics pertaining to ISO/IEC/- IEEE 42010:2011 (revision of the former IEEE Std 1471:2000). Originally prepared for ISO/IEC JTC1/SC7 WG42, the Architecture Working Group of the Systems and Software Engineering Subcommittee of ISO. Currently the bibliography is undergoing a major up- date as ISO/IEC/IEEE 42010 is being revised. The current draft is a work-in-progress; it has many new entries, but these are not necessarily complete. The bibliography includes 1) items which were inspirations for the Standard; 2) items citing or about the Standard or its development; and 3) items inspired by or built upon the Standard and its concepts. Note: with version 4.x, we switch to producing the bibliography using the biblatex package. There may be errors. Please send corrections and additions to [email protected]. References 12th Working IEEE/IFIP Conference on Software Architecture (WICSA 2015), 4–7 May 2015, Montr´eal,Qu´ebec,Canada. IEEE Computer Society, Apr. 2015. A. Anwar et al. “A Formal Approach to Model Composition Applied to VUML”. In: 2011 16th IEEE International Conference on Engineering of Complex Computer Systems. Keywords: graph grammars, process algebra, model composition, MBSE. Apr. 2011, pp. 188–197. DOI: 10.1109/ICECCS.2011.26. Annotations: -. 1 Abstract: Several approaches adopted by the software engineering community rely on the principle of multi-modeling which allows to separate concerns and to model a sys- tem as a set of less complex sub-models. -
Manuscript Instructions/Template
Safety Analysis in Early Concept Development and Requirements Generation1 Nancy G. Leveson Massachusetts Institute of Technology 77 Massachusetts Ave, Cambridge MA 02139 617-258-0505 http://[email protected] [email protected] Copyright © 2018 by Nancy G. Leveson. Published and used by INCOSE with permission. Abstract. This paper shows how a new hazard analysis technique, STPA (System Theoretic Process Analysis), can be used to generate high-level safety requirements early in the concept development phase that can then assist in the design of the system architecture. These general, system-level requirements can be refined using STPA as decisions are made. The process goes hand-in-hand with design and the rest of the lifecycle as STPA can be used to provide information to assist in decision- making throughout the development and even operations phases. STPA also fits into a model-based engineering process as it works on a model of the system (which is also refined as design decisions are made) although that model is different than the architectural models usually proposed for model- based system engineering today. The process promotes traceability throughout the development process so decisions and designs can be changed with minimum requirements for redoing previous analyses. Finally, while this paper describes the approach with respect to safety, it can be applied to any emergent system property. Early Concept Exploration and Development Early concept development, shown at the top left of the V-model (Figure 1), is the first step in the usual system engineering process. While the label may differ in variants of the model, this stage includes such activities as stakeholder and user analysis (needs analysis), customer requirements generation, regulatory requirements review, feasibility studies, concept and tradespace exploration, and establishment of criteria for evaluation of the evolving and final design. -
Download from an Unknown Website Cannot Be Said to Be ‘Safe’ Just Because It Happens Not to Harbor a Virus
A direct path to dependable software The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation Jackson, Daniel. “A direct path to dependable software.” Commun. ACM 52.4 (2009): 78-88. As Published http://dx.doi.org/10.1145/1498765.1498787 Publisher Association for Computing Machinery Version Author's final manuscript Citable link http://hdl.handle.net/1721.1/51683 Terms of Use Attribution-Noncommercial-Share Alike 3.0 Unported Detailed Terms http://creativecommons.org/licenses/by-nc-sa/3.0/ A Direct Path To Dependable Software Daniel Jackson Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology What would it take to make software more dependable? Until now, most approaches have been indirect: some practices – processes, tools or techniques – are used that are believed to yield dependable software, and the argument for dependability rests on the extent to which the developers have adhered to them. This article argues instead that developers should produce direct evidence that the software satisfies its dependability claims. The potential advantages of this approach are greater credibility (since the ar- gument is not contingent on the effectiveness of the practices) and reduced cost (since development resources can be focused where they have the most impact). 1 Why We Need Better Evidence Is a system that never fails dependable? Not necessarily. A dependable system is one you can depend on – that is, in which you can place your reliance or trust. A rational person or organization only does this with evidence that the system’s benefits outweigh its risks. -
Machine Learning Testing: Survey, Landscapes and Horizons
1 Machine Learning Testing: Survey, Landscapes and Horizons Jie M. Zhang*, Mark Harman, Lei Ma, Yang Liu Abstract—This paper provides a comprehensive survey of techniques for testing machine learning systems; Machine Learning Testing (ML testing) research. It covers 144 papers on testing properties (e.g., correctness, robustness, and fairness), testing components (e.g., the data, learning program, and framework), testing workflow (e.g., test generation and test evaluation), and application scenarios (e.g., autonomous driving, machine translation). The paper also analyses trends concerning datasets, research trends, and research focus, concluding with research challenges and promising research directions in ML testing. Index Terms—machine learning, software testing, deep neural network, F 1 INTRODUCTION The prevalent applications of machine learning arouse inherently follows a data-driven programming paradigm, natural concerns about trustworthiness. Safety-critical ap- where the decision logic is obtained via a training procedure plications such as self-driving systems [1], [2] and medical from training data under the machine learning algorithm’s treatments [3], increase the importance of behaviour relating architecture [8]. The model’s behaviour may evolve over to correctness, robustness, privacy, efficiency and fairness. time, in response to the frequent provision of new data [8]. Software testing refers to any activity that aims to detect While this is also true of traditional software systems, the the differences between existing and required behaviour [4]. core underlying behaviour of a traditional system does not With the recent rapid rise in interest and activity, testing typically change in response to new data, in the way that a has been demonstrated to be an effective way to expose machine learning system can. -
An Architecture Framework Modification Supporting the Acquisition Stakeholders
University of Wollongong Research Online Faculty of Engineering and Information Faculty of Engineering and Information Sciences - Papers: Part A Sciences 1-1-2014 An Architecture Framework Modification Supporting the Acquisition Stakeholders Farid Shirvani University of Wollongong, [email protected] Mahmoud Efatmaneshnik University of Wollongong, [email protected] Allan P. Campbell University of Wollongong, [email protected] Follow this and additional works at: https://ro.uow.edu.au/eispapers Part of the Engineering Commons, and the Science and Technology Studies Commons Recommended Citation Shirvani, Farid; Efatmaneshnik, Mahmoud; and Campbell, Allan P., "An Architecture Framework Modification Supporting the Acquisition Stakeholders" (2014). Faculty of Engineering and Information Sciences - Papers: Part A. 6473. https://ro.uow.edu.au/eispapers/6473 Research Online is the open access institutional repository for the University of Wollongong. For further information contact the UOW Library: [email protected] An Architecture Framework Modification Supporting the Acquisition Stakeholders Abstract Architectural modeling is gaining support for urban system development to help governments, local agencies and large enterprises acquire, maintain and develop complex infrastructure. This paper proposes a modification ot TRAK (The Rail Architecture frameworK) to make it more suitable for acquisition of the general class of urban infrastructure systems. In this paper four of the main system stakeholders, namely acquirer, developer, investor and regulator are chosen and their concerns are identified. In order to identify the gaps, the procurement viewpoints of TRAK are investigated and analyzed to show their inefficiencies in expressing acquisition scenarios and addressing the concerns of those stakeholders. The first main gap is the lack of equirr ement traceability as there is no viewpoints showing the flow of equirr ements from acquirer to developers.