1.4.4 Towards a Collaborative Engineering Environment to Support Capability Engineering

Robbins, Wayne; Lam, Sylvia; Lalancette, Claire

doi:10.1002/j.2334-5837.2005.tb00663.x

Cited by 6 publications

(5 citation statements)

References 3 publications

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“…However, cost prediction is not provided neither an assessment of multiple coalitions or capabilities. TLCM (Through Life Capability Management) [Urwin et al 2010] and CapDEM [Robbins et al 2005] are examples of approaches that rely on capability-based planning for predicting acquisition cost. However, those processes do not address an anticipation of the results exhibited by those coalitions measured in terms of quality attributes.…”

Section: Related Workmentioning

confidence: 99%

S.O.B (Save Our Budget) - A Simulation-Based Method for Prediction of Acquisition Costs of Constituents of a System-of-Systems

Neto

Horita

Santos

et al. 2019

iSys

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Software economics, acquisition, and pricing are important con- cerns for Systems-of-Systems (SoS). SoS are alliances of independent software- intensive systems combined to offer holistic functionalities as a result of the con- stituents interoperability. SoS engineering involves separately acquiring con- stituents and combining them to form the SoS. Despite the existence of cost pre- diction techniques, predicting SoS acquisition costs at design-time should also include the analysis of different suppliers of constituents, their respective prices and quality. However, known methods cover only two out of these three param- eters. The main contribution of this article is to present the S.O.B. (Save Our Budget) method, a novel simulation-based method to predict, at design-time, the acquisition cost of constituents, while still considering quality attributes and different suppliers. Results of a case study in the Smart Building domain re- vealed that S.O.B. method supports a precise prediction of acquisition cost of constituents to build a SoS for that domain. Furthermore, it also contributes to estimate the cost based on a pre-established quality attribute (functional suit- ability), as well as to support the selection of coalition that exhibits better results through the analysis of cost-benefit ratio.

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Section: Related Workmentioning

confidence: 99%

S.O.B (Save Our Budget) - A Simulation-Based Method for Prediction of Acquisition Costs of Constituents of a System-of-Systems

Neto

Horita

Santos

et al. 2019

iSys

View full text Add to dashboard Cite

show abstract

“…SoS acquisition processes are often based on capability-based planning approaches, i.e., an optimization procedure that searches for a good solution that balances the set of desired capabilities and potential coalitions [Burton et al 2014]. TLCM (Through Life Capability Management) [Urwin et al 2010] and CapDEM [Robbins et al 2005] are examples of approaches that rely on capability-based planning for predicting acquisition cost. However, those processes do not address an anticipation of the results exhibited by those coalitions measured in terms of quality attributes.…”

Section: Related Workmentioning

confidence: 99%

How Much Does It Cost? A Simulation-Based Method for Cost Prediction in Systems-of-Systems Acquisition Processes

Neto¹,

Horita²,

Santos³

et al. 2018

Anais Do Workshop Sobre Aspectos Sociais, Humanos E Econômicos De Software (WASHES)

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Software economics, acquisition, and pricing are important concerns, in particular for Systems-of-Systems (SoS). SoS are alliances of independent software-intensive systems combined to offer holistic functionalities as a result of the constituents interoperability. SoS engineering involves separately acquiring constituents and combining them to form the SoS. Despite the existence of cost prediction techniques at Systems Engineering practice, predicting SoS acquisition costs at design-time should include: 1) an analysis of the minimum set of constituents that offer a 'good enough' result, and 2) an analysis of the compatibility between the constituents to deliver the expected result. The main contribution of this paper is proposing a novel simulation-based method for cost prediction in constituents acquisition process, while considering the effectiveness of constituents combination to offer the intended functionalities, and predicting the lowest configuration, at design-time. We adopt a simulation model to predict, at design-time, the results that shall be yielded by the constituents during SoS operation. Preliminary results point out the success of our method to predict such costs while still supporting a selection of the best architectural configurations.

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“…A permanent enterprise repository should hold all 'As-Is' and 'To-Be' operational and SoS architectures of all capabilities enabling maximum reuse of previous work and reduction of effort. These architectures are developed using an appropriate set of collaborative tools (Robbins et al 2005).…”

Section: The Processes: Speeding Up Delivery Of Optionsmentioning

confidence: 99%

“…In order to make these gears turn smoothly, interfaces between these processes are essential. The technical issues of these interfaces are complicated (Robbins et al 2005). But, moreover, the people interaction is complex and critical.…”

Section: The Roles: Implementing a Team To Get Sound Optionsmentioning

confidence: 99%

“…The People axis investigates the concept of a cross-functional, multidisciplinary team committed to applying and managing the process (Waruszynski, 2004). The Materiel axis studies a collaborative engineering environment consisting of a set of tools, technologies and facilities that will help enable information exchange and collaboration among engineers, subject matter specialists and managers at multiple, geographically distributed locations (Robbins et al 2005). The current paper does not address these two axes in any great detail.…”

Section: Introduction: Setting the Effort Contextmentioning

confidence: 99%

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3.4.2 Capability engineering for strategic decision making

Lizotte

Nécaille

Lalancette

2006

INCOSE International Symp

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Abstract. The current paper summarizes the Capability Engineering Process (CEP) being developed to help decision making on strategic investments and divestments for the Canadian Forces and Department of National Defence. This effort is part of a technology demonstration effort called the Collaborative, Capability, Definition, Engineering and Management (CapDEM). The CEP introduces ways to increase strategic agility capability management in a world in constant evolution. A CEP application provides a set of options addressing a given capability gap. Among benefits, this process: (1) provides decision makers with timely strategic information through an iterative and incremental approach; (2) reduces time spent on unrealistic options by continuously pruning the solution space as early as possible; (3) provides operationally acceptable strategic options with direct involvement of the operational community into the solution development; and (4) provides feasible options by ensuring commitment and participation in developing solutions involving all of the organization's functional components: Personnel, R&D, Infrastructure, Concept development, Information management, and Equipment (known as PRICIE components in Canada).

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1.4.4 Towards a Collaborative Engineering Environment to Support Capability Engineering

Cited by 6 publications

References 3 publications

S.O.B (Save Our Budget) - A Simulation-Based Method for Prediction of Acquisition Costs of Constituents of a System-of-Systems

S.O.B (Save Our Budget) - A Simulation-Based Method for Prediction of Acquisition Costs of Constituents of a System-of-Systems

How Much Does It Cost? A Simulation-Based Method for Cost Prediction in Systems-of-Systems Acquisition Processes

3.4.2 Capability engineering for strategic decision making

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