9.4.1 Lessons Learned From Industrial Validation of COSYSMO

Valerdi, Ricardo; Roedler, Garry; Rieff, John; Wheaton, Marilee J.; Gan, Wang

doi:10.1002/j.2334-5837.2007.tb02966.x

Cited by 12 publications

(8 citation statements)

References 4 publications

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“…It has demonstrated the potential to bridge a long-time gap between system complexity and its corresponding systems engineering effort estimate. Organizations have made various attempts to pilot the model and apply it to practical applications [21], [28].…”

Section: Introductionmentioning

confidence: 99%

Reuse in Systems Engineering

Gan

Valerdi

Fortune

2010

IEEE Systems Journal

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Reuse in systems engineering is a frequent but poorly understood phenomenon. Nevertheless, it has a significant impact on system development and on estimating the appropriate amount of systems engineering effort with models like the Constructive Systems Engineering Cost Model (COSYSMO). Practical experience showed that the initial version of COSYSMO, 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 the four COSYSMO size drivers-requirements, interfaces, algorithms, and operational scenarios. It fundamentally modifies the driver counting rules and updates its definition of system size. It provides an enabling framework for estimating a system under incremental and spiral development. 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 to be 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. He is a Principal Investigator for system-of-systems engineering and integration strategic initiatives at BAE Systems, Reston, VA. He has been engaged in the research and development of decision support methods and life cycle cost modeling and practice for systems engineering and enterprise-level, system-ofsystems engineering and management. Prior to joining BAE Systems, he spent many years developing real-time geospatial data visualization applications for mission planning and rehearsal, battlefield command and control (C2), flight simulation, and aircrew training systems. He also developed control systems and aircraft simulation models for various man-in-the-loop flight training systems. He has over 20 years of experience in systems engineering, software development, research and development, and engineering management involving complex, software-intensive systems.Dr. Wang is a member of INCOSE and PMI.Ricardo Valerdi (M'95) received the B.S. degree in electrical engineering from the University of San Diego, San Diego, CA, in 1999, and the M.S. and

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Section: Introductionmentioning

confidence: 99%

Reuse in Systems Engineering

Gan

Valerdi

Fortune

2010

IEEE Systems Journal

Self Cite

View full text Add to dashboard Cite

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Section: Introductionmentioning

confidence: 99%

2.3.2 COSYSMO Reuse Extension

Gan

Ankrum

Valerdi

et al. 2008

INCOSE International Symp

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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

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“…Valerdi [2005] also noticed that accurate and precise effort estimation was of importance and went on to develop one validated system engineering effort estimation technique, Constructive Systems Engineering Cost Model (COSYSMO). COSYSMO has been further studied since 2005 [Valerdi 2007] and recently a revised model, COSYSMO 2 [Fortune 2009], was developed. COSYSMO is based on Constructive Cost Model (COCOMO), which is a functional point (FP) software effort estimation technique [Valerdi 2005].…”

Section: Topic Significance To System Engineeringmentioning

confidence: 99%

“…Since that time Valerdi and others have published many articles on COSYSMO which summarizes the effort of continuous refinement to COSYSMO. The research regarding COSYSMO is important to this research as it has uncovered many attributes needed for a successful system effort estimation model through lessons learned [Valerdi 2007]. The success of COSYSMO, especially since it is based on a software estimation tool COCOMO, encourages this research topic and provides evidence that a useful effort estimate model for systems can transpire from a software cost estimation tool like COCOMO [Lane 2009] and UCP.…”

Section: Current System Effort Estimation Techniquesmentioning

confidence: 99%

1.4.3 Applying Systems Engineering Modeling Language (SysML) to System Effort Estimation Utilizing Use Case Points

Bone

Cloutier

2011

INCOSE International Symp

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This paper proposes that as model based systems engineering begins to play a larger role in system development it may be utilized in estimating systems effort, making model based systems engineering more valuable to system engineering. This paper proposes to extend the Use Case Points (UCP) estimating approach, used by some software engineers, to SysML for estimating the systems engineering effort. The paper reviews literature that encourages the notion of a UCP method for Systems Engineering (UCPSE). Finally the paper maps out the research plan to develop and validate the UCPSE method.

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9.4.1 Lessons Learned From Industrial Validation of COSYSMO

Cited by 12 publications

References 4 publications

Reuse in Systems Engineering

Reuse in Systems Engineering

2.3.2 COSYSMO Reuse Extension

1.4.3 Applying Systems Engineering Modeling Language (SysML) to System Effort Estimation Utilizing Use Case Points

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