Integration and Test Sequencing for Complex Systems

Boumen, R.; Jong, I.S.M. de; Mestrom, J.M.G.; Mortel-Fronczak, J.M. van de; Rooda, J.E.

doi:10.1109/tsmca.2008.2006374

Cited by 11 publications

(5 citation statements)

References 11 publications

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“…Ahmadi and Wang (1999) formulated a nonlinear program that minimizes verification costs for the desired level of system verification. Boumen et al (2008Boumen et al ( , 2009 used dynamic programming to determine risk-minimizing verification strategy for lithographic machines. To allocate resources for verification in an efficient manner, Shabi and Reich (2012) developed an analytical model to determine the optimal verification strategy given the design maturity under cost and risk constraints.…”

Section: Literature Reviewmentioning

confidence: 99%

Coordination of verification activities with incentives: a two-firm model

2020

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In systems engineering, verification activities evaluate the extent to which a system under development satisfies its requirements. In large systems engineering projects, multiple firms are involved in the system development, and hence verification activities must be coordinated. Self-interest impedes the implementation of verification strategies that are beneficial for all firms while encouraging each firm to choose a verification strategy beneficial to itself. Incentives for verification activities can motivate a single firm to adopt verification strategies beneficial to all firms in the project, but these incentives must be offered judiciously to minimize unnecessary expenditures and prevent the abuse of goodwill. In this paper, we use game theory to model a contractor-subcontractor scenario, in which the subcontractor provides a component to the contractor, who further integrates it into their system. Our model uses belief distributions to capture each firm’s epistemic uncertainty in their component’s state prior to verification, and we use multiscale decision theory to model interdependencies between the contractor and subcontractor’s design. We propose an incentive mechanism that aligns the verification strategies of the two firms and using our game-theoretic model, we identify those scenarios where the contractor benefits from incentivizing the subcontractor’s verification activities.

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Section: Literature Reviewmentioning

confidence: 99%

Coordination of verification activities with incentives: a two-firm model

2020

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“…The goal of integration and test sequencing is to determine a sequence of integration and test activities according to certain optimization criteria like lead time, total test time, test costs, and remaining risk in the system. Integration and test sequencing is another research topic in the TANGRAM project (Boumen et al 2006b), and has been successfully applied to several industrial I&T problems (Boumen et al 2007).…”

Section: Figure 3 Development and Integration Of δ-Functionality In mentioning

confidence: 99%

“…In this section, we give a basic example of how the integration and test sequencing method from (Boumen et al 2006b) can be used for both the integration and test sequencing problem and for the trade-off analysis between modeling investment and potential profit as described in the previous section. For this example, we defined a fictitious but representative I&T problem, in which models of the software and hardware components are available before the realizations.…”

Section: Integration Sequencing and Trade-off Analysismentioning

confidence: 99%

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2.3.2 Model‐based techniques for intelligent integration and testing in industry*

Braspenning

Ploeg

Mortel-Fronczak

et al. 2007

INCOSE International Symp

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The effort required for integration and testing of high‐tech multi‐disciplinary systems is increasing with each new or upgraded system that is developed. To counter this trend of increasing integration and test lead time and costs, we propose a model‐based integration and testing (MBI&T) method, where formal and executable models of the system components are used to replace the component realizations for early integration and system testing. In this paper, we describe how the integration and testing process currently used in industry can be made more intelligent by applying model‐based techniques from the MBI&T method. We also show how to analyze the necessary trade‐off between the investments needed for model development and the potential effort reduction, using a systematic and automatic integration sequencing method.

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“…To this kind of complex system modeling and adaptive management problem, is not only be concerned in the water conservancy engineering field, but also be concerned in the field of management science at current. The research of the complex system which involves people and social factors are still seeking a set of efficient solutions [4][5][6][7][8][9][10][11]. For the modeling and simulation of such a complex system, the researchers assumed a series of state causality based on subjective understanding.…”

Section: Introductionmentioning

confidence: 99%

A Computational Experiments Mode for the ERSNWTP Configuration and Scheduling

Wei

Huang

et al. 2012

AMM

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The Calculated experimental research mode and induction intervention regulation management methods of the Eastern Route Water Resources Configuration and scheduling of the South-to-North Water Transfers with are proposed based on the Complex adaptive system paradigm in the paper. We use "communication" to replace pure "technical economic optimization", and it has the characteristic of interactive-coordination-adaptation. Through the researching on non-traditional (based on calculated experimental and data driven) complexity theory and method of modeling which was different with the traditional accurate modeling, designed the "data-analytic-identify-regulation" feedback circular Agent calculation experimental mode, as the basis of multistage information calculation and simulation.Then we proposed the Induction of intervention control management method use Multi-Agent collaborative computing technology, in order to control and improve the current performance of logistics, information flow, capital flow for water transfer system .

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Integration and Test Sequencing for Complex Systems

Cited by 11 publications

References 11 publications

Coordination of verification activities with incentives: a two-firm model

Coordination of verification activities with incentives: a two-firm model

2.3.2 Model‐based techniques for intelligent integration and testing in industry*

A Computational Experiments Mode for the ERSNWTP Configuration and Scheduling

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