The Experts below are selected from a list of 537135 Experts worldwide ranked by ideXlab platform
Ricardo Valerdi - One of the best experts on this subject based on the ideXlab platform.
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heuristics for Systems Engineering cost estimation
IEEE Systems Journal, 2011Co-Authors: Ricardo ValerdiAbstract:Engineering cannot wait until all phenomena are explained. Engineers may work effectively, often for centuries, with heuristics. This paper provides thirty one heuristics that have been inspired by the development and application of a Systems Engineering cost estimation model. The objective of this paper is to present such heuristics in a simple manner so that they can benefit Systems Engineering researchers and practitioners that develop, calibrate, and use cost models.
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empirical research in Systems Engineering challenges and opportunities of a new frontier
Systems Engineering, 2009Co-Authors: Ricardo Valerdi, Heidi L DavidzAbstract:This paper aims to advance the pedagogy of Systems Engineering by identifying opportunities and challenges in empirical research in the field. After an introduction to how empirical research could be further utilized in Systems Engineering, this paper discusses challenges faced when conducting empirical research in the field, threats to validity associated with Systems Engineering data collection, and considerations for empirical mixed-methods research. Two recently completed Systems Engineering empirical studies are used to illustrate specific examples. Finally, suggestions are given on how a professional society might provide additional support for researchers completing empirical research in Systems Engineering. The overarching goal of this paper is to describe how the increased use of empirical methods can be used to enrich the quality of research results which will in turn enhance the position of Systems Engineering as a widely recognized academic field. It is proposed that utilizing well-grounded, valid theory will improve understanding of Systems Engineering phenomena and advance the maturity of the field. © 2008 Wiley Periodicals, Inc. Syst Eng
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Systems Engineering cost estimation for space Systems
AIAA SPACE 2007 Conference & Exposition, 2007Co-Authors: Ricardo Valerdi, Marilee J Wheaton, Jared FortuneAbstract:The applicability of COSYSMO, a Systems Engineering cost model, is explored in the context of space Systems through the analysis of two main assumptions. First, the WBS elements of the model are mapped to a prototypical WBS for space Systems. Second, the life cycle phases assumed in the model are mapped to the phases outlined in the latest National Security Space acquisition policy. Through the analysis of these assumptions, the applicability of COSYSMO to space Systems can be improved. Moreover, techniques for performing partial estimation of Systems Engineering by Systems Engineering activity and life cycle phase are provided to further the applicability of COSYSMO to space Systems.
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1 4 3 challenges in the development of Systems Engineering as a profession
17th Annual International Symposium of the International Council on Systems Engineering INCOSE 2007, 2007Co-Authors: Indrajeet Dixit, Ricardo ValerdiAbstract:This paper explores a fundamental and important question: is Systems Engineering a profession? It is fundamental because of the current existential crisis in the discipline and it is important because it helps in defining our role in the context of the greater technical community. By observing Systems Engineering through the theoretical lens of the professionalization literature rooted in sociology, we propose five key challenges to Systems Engineering as a profession. Firstly, defining the problem space, secondly, understanding the state of the body of knowledge, thirdly, the impact of lifecycle perspective, fourthly, the falsification of Systems Engineering theories and lastly, the question of standard of proof for Systems Engineering. The need for our thesis is motivated by understanding the current body of knowledge and proposing a direction that will enable the profession to overcome key challenges.
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advancing an ontology for Systems Engineering to allow consistent measurement
2006Co-Authors: Eric Honour, Ricardo ValerdiAbstract:Past analysis has shown that there is a quantifiable correlation between the amount, types and quality of Systems Engineering efforts used during a program and the success of the program. For any given program, an amount, type and quality of Systems Engineering effort can be selected from the quantified correlations. The optimal nature of these selections, however, has not yet been explored. An ongoing project, Systems Engineering Return on Investment (SE-ROI), aims to quantify the correlations by gathering data on current and completed programs. It is the purpose of this paper to advance an ontology that can support useful quantification of the desired correlations. This ontology is based on a review of current Systems Engineering standards, historical Systems Engineering activities, and data gathered on the COSYSMO and Value of Systems Engineering projects. In this paper, the ontology is further explored to create broadly-based definitions of key terms such as "Systems Engineering effort," "amount of effort," "type of effort," "quality," "success," and "optimum." The SE-ROI project is continuing to convert the ontology into a methodology for measuring Return on Investment. This measurement will yield more specific relationships between Systems Engineering activities, such as requirements management effort, and the cost/schedule compliance of the program. 1
Justin B Grossman - One of the best experts on this subject based on the ideXlab platform.
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integrating cognitive Systems Engineering throughout the Systems Engineering process
Journal of Cognitive Engineering and Decision Making, 2008Co-Authors: James W Gualtieri, James S Tittle, Jay E Peffer, Samantha Szymczak, Brian Mckenna, Justin B GrossmanAbstract:In order for cognitive Systems Engineering (CSE) to deliver the benefits of recent theoretical advances in actual Systems being developed, the insights of CSE must be transformed into pragmatic Engineering practices. The CSE Engineering practices described in this article (using the applied cognitive Systems Engineering methodology as an exemplar) are typical of just such an Engineering adaptation of rev- olutionary science and represent Engineering practices that are dedicated to building effective Systems. CSE research insights can have a significant impact on their corre- sponding Systems Engineering (SE) practices by expanding SE's concept of a system from just the technology components to a joint cognitive system (Hollnagel & Woods, 2005) and expanding the associated SE practices appropriately. This article uses the Department of Defense system life cycle and the SE V-model (Forsberg & Mooz, 1992) as SE process exemplars to illustrate how CSE Engineering practices can be integrated into the SE process. Specifically, we propose four key integration points where CSE can contribute significantly to the SE process: concept refinement, software development, testing, and postsystem development (i.e., operations support, training, and mainte- nance). Our approach shows that the practice of CSE does not compete with SE but, instead, augments current SE practices to ensure that the technology components are engineered with the users' cognitive needs in mind.
Bradley N Doebbeling - One of the best experts on this subject based on the ideXlab platform.
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applying Systems Engineering principles in improving health care delivery
Journal of General Internal Medicine, 2007Co-Authors: Renata Kopachkonrad, Mike Criswell, Imran Hasan, Bradley N Doebbeling, Santanu Chakraborty, Joseph F. Pekny, Mark LawleyAbstract:Background In a highly publicized joint report, the National Academy of Engineering and the Institute of Medicine recently recommended the systematic application of Systems Engineering approaches for reforming our health care delivery system. For this to happen, medical professionals and managers need to understand and appreciate the power that Systems Engineering concepts and tools can bring to redesigning and improving health care environments and practices.
James W Gualtieri - One of the best experts on this subject based on the ideXlab platform.
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integrating cognitive Systems Engineering throughout the Systems Engineering process
Journal of Cognitive Engineering and Decision Making, 2008Co-Authors: James W Gualtieri, James S Tittle, Jay E Peffer, Samantha Szymczak, Brian Mckenna, Justin B GrossmanAbstract:In order for cognitive Systems Engineering (CSE) to deliver the benefits of recent theoretical advances in actual Systems being developed, the insights of CSE must be transformed into pragmatic Engineering practices. The CSE Engineering practices described in this article (using the applied cognitive Systems Engineering methodology as an exemplar) are typical of just such an Engineering adaptation of rev- olutionary science and represent Engineering practices that are dedicated to building effective Systems. CSE research insights can have a significant impact on their corre- sponding Systems Engineering (SE) practices by expanding SE's concept of a system from just the technology components to a joint cognitive system (Hollnagel & Woods, 2005) and expanding the associated SE practices appropriately. This article uses the Department of Defense system life cycle and the SE V-model (Forsberg & Mooz, 1992) as SE process exemplars to illustrate how CSE Engineering practices can be integrated into the SE process. Specifically, we propose four key integration points where CSE can contribute significantly to the SE process: concept refinement, software development, testing, and postsystem development (i.e., operations support, training, and mainte- nance). Our approach shows that the practice of CSE does not compete with SE but, instead, augments current SE practices to ensure that the technology components are engineered with the users' cognitive needs in mind.
Anne Bruseberg - One of the best experts on this subject based on the ideXlab platform.
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human views for modaf as a bridge between human factors integration and Systems Engineering
Journal of Cognitive Engineering and Decision Making, 2008Co-Authors: Anne BrusebergAbstract:The paper describes the human views for the UK Ministry of Defence Architectural Framework (MODAF) as essential concepts to enable a common modeling approach between the fields of Systems Engineering and human factors integration. Human views express high-level human factors design decisions through a Systems Engineering modeling approach to better communicate human-related design concerns to engineers and to enable early application of human factors methods in the Systems Engineering process. Integration barriers attributable to differing approaches between human factors integration and Systems Engineering are outlined. Cognitive Systems Engineering is considered under the umbrella of human factors integration. The paper discusses how selected cognitive Systems Engineering approaches and methods provide an invaluable resource in supporting the underlying philosophy and application of the human views as part of MODAF.
