The objective of the International Council on Systems Engineering (INCOSE) Systems Engineering Handbook (SEH) is to describe key process activities performed by systems engineers and other engineering professionals throughout the life cycle of a system. It also describes a wide range of fundamental system concepts that broaden the thinking of the systems engineering practitioner, such as system thinking, system science, life cycle management, specialty engineering, system-of-systems, and complex systems. This handbook defines the discipline and practice of systems engineering for students and practicing professionals alike, providing an authoritative reference that is acknowledged world-wide.

This paper discusses a 3‐year initiative to transform classical systems engineering (SE) measures into leading indicators, including the resulting guidance information that has been developed and future research directions. Systems engineering leading indicators are measures for evaluating the effectiveness of the systems engineering activities on a program in a manner that provides information about impacts that are likely to affect the system or program performance objectives. A leading indicator may be an individual measure, or collection of measures, that is predictive of future system performance before the performance is realized. Contrary to simple status oriented measures typically used on most projects, leading indicators are intended to provide insight into the probable future state, allowing projects to improve the management and performance of complex programs before problems arise. This paper discusses the motivations and collaborative development of the SE leading indicators. It defines the leading indicator construct, introduces the initial set of 13 indicators, and provides guidance for implementation, analysis, and interpretation of these indicators. The initial set of indicators, developed through a collaboration of industry, government, and academia, has recently undergone validation through pilot studies and surveys. This work serves as a foundation for industry implementation and for further research to improve and expand the set of indicators, including development of a better understanding of how to best implement and use the leading indicators in a given program context. © 2008 Wiley Periodicals, Inc. Syst Eng

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Abstract. The objective of the International Council on Systems Engineering (INCOSE)Systems Engineering Handbook is to describe key process activities performed by systems engineers and other engineering professionals throughout the life cycle of a system. It also describes a wide range of fundamental system concepts that broaden the thinking of the systems engineering practitioner, such as system thinking, system science, life cycle management, specialty engineering, system-of-systems, and complex systems. This handbook defines the discipline and practice of systems engineering for students and practicing professionals alike, providing an authoritative reference that is acknowledged world-wide.Editors of the Systems Engineering Handbook will give an overview of Version 4 that is scheduled to be released in January of 2015. They will describe the overall impetus for change, highlight changes from the previous versions, and describe the new content added for this version. Brief Overview of the HandbookINCOSE defines systems engineering as an interdisciplinary approach and means to enable the realization of successful systems. It has become an essential discipline to ensure the system of interest is the right solution to meet the stakeholder needs, while being affordable across the life cycle of the system. Systems engineering considers both the business and the technical needs of all stakeholders with the goal of providing a quality product that meets those needs.The INCOSE Systems Engineering Handbook describes key process activities performed by systems engineers and other engineering professionals throughout the life cycle of a system. Version 4 of this handbook is consistent with ISO/IEC/IEEE 15288:2014 -Systems and software engineering -System life cycle processes -that is scheduled to be released in late 2014. This will ensure the handbook's usefulness across a wide range of application domains, man-made systems and products, as well as business and services. This handbook is also consistent with the latest version of the Guide to the Systems Engineering Body of Knowledge (SEBoK). The SE Handbook is planned to continue to evolve in a consistent manner with these other key technical references. In addition, for this version of the handbook, relevant INCOSE Working Groups provided updated inputs to their respective areas of systems engineering expertise that reflect the state-of-the practice in systems engineering.This handbook can serve as the definitive reference to system concepts and systems engineering practices and methods that have proven beneficial to the SE community at large.

Reuse in systems engineering is a frequent, but poorly understood phenomenon. Nevertheless, it has a significant impact on estimating the appropriate amount of systems engineering effort with models like the Constructive Systems Engineering Cost Model. Practical experience showed that the initial version of COSYSMO, a model based on a "build from the scratch" philosophy, needed to be refined in order to incorporate reuse considerations that fit today's industry environment. The notion of reuse recognizes the effect of legacy system definition in engineering a system and introduces multiple reuse categories for classifying each of the four COSYSMO size drivers -requirements, interfaces, algorithms, and operational scenarios. It fundamentally modifies the counting rules for the COSYSMO size drivers and updates the definition of system size in COSYSMO.In this paper, we present (1) the definition of the COSYSMO reuse extension and the approach employed to define this extension; (2) the updated COSYSMO size driver definitions that are consistent with the reuse model; (3) the method applied to defining the reuse weights used in the modified parametric relationship; (4) a practical implementation example that instantiates the reuse model by an industry organization and the empirical data that provided practical validation of the extended COSYSMO model; and (5) recommendations for organizational implementation and deployment of this extension. Close Next264 Next Prev First Next Prev First 270