A multi-paradigm modelling &amp;amp; simulation approach for system of systems engineering: A case study

Ross, William A.; Ulieru, Mihaela; Gorod, Alex

doi:10.1109/sysose.2014.6892485

Cited by 11 publications

(5 citation statements)

References 8 publications

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“…The perspective of a blend of MAS within MPM approaches is appealing, both for the intrinsic agent features and because of the chance, provided by SPE, to build ad-hoc development processes by combining process fragments rooted into different paradigms: this is an open research area. The emergence of the SoS paradigm (Nielsen, Fitzgerald, Woodcock, & Peleska, 2015), where multi-paradigm approaches are also investigated (Ross, Ulieru, & Gorod, 2014), opens another promising conceptual and technical framework for agent-oriented abstractions, technologies, and methodologies.…”

Section: Discussionmentioning

confidence: 99%

“…An example is represented by the so-called System of Systems (SoS) (Nielsen, Fitzgerald, Woodcock, & Peleska, 2015)-basically, a set of ad-hoc systems that put their resources and skills together, so that the resulting system provides more features and services than the simple sum of its parts. SoS move from the idea that "the growing interdependency of systems contributes to an ever-emerging complexity" (Ross, Ulieru, & Gorod, 2014): the use of multiparadigm approach in that field is under investigation. A key challenge in this context is "to identify the boundaries of the overall SoS and of its independent constituent systems" (Nielsen, Fitzgerald, Woodcock, & Peleska, 2015), where "boundaries" refers both to technical (interfaces definition, integration, testing) and organizational aspects (governance, stakeholders).…”

Section: The Intriguing Case Of Systems Of Systemsmentioning

confidence: 99%

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MDE and MDA in a Multi-Paradigm Modeling Perspective

Molesini

Denti

Omicini

2021

Advances in Systems Analysis, Software Engineering, and High Performance Computing

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Since most complex software systems are intrinsically multi-paradigm, their engineering is a challenging issue. Multi-paradigm modeling (MPM) aims at facing the challenge by providing concepts and tools promoting the integration of models, abstractions, technologies, and methods originating from diverse computational paradigms. In this chapter, the authors survey the main MPM approaches in the literature, evaluate their strengths and weaknesses, and compare them according to three main criteria—namely, (1) the software development process, (2) the adoption of meta-model techniques, (3) the availability of adequate supporting tools. Furthermore, the authors explore the adoption of other promising approaches for the engineering of multi-paradigm systems, such as multi-agent systems (MAS) and systems of systems (SoS), and discuss the role of situational process engineering (SPE) in the composition of multi-paradigm software processes.

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Section: Discussionmentioning

confidence: 99%

Section: The Intriguing Case Of Systems Of Systemsmentioning

confidence: 99%

MDE and MDA in a Multi-Paradigm Modeling Perspective

Molesini

Denti

Omicini

2021

Advances in Systems Analysis, Software Engineering, and High Performance Computing

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“…Ross et al (2014) define three SoS views, Social, Physical and Social-Physical. For the social view "the modeller is interested in individual attributes and because the interactivities at a given time within the social level are unknown" ABM is the suggested approach.…”

Section: Hybrid Modelling Approachesmentioning

confidence: 99%

A model based approach to system of systems risk management

Kinder

Henshaw

Siemieniuch

2015

2015 10th System of Systems Engineering Conference (SoSE)

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The failure of many System of Systems (SoS) enterprises can be attributed to the inappropriate application of traditional Systems Engineering (SE) processes within the SoS domain, because of the mistaken belief that a SoS can be regarded as a single large, or complex, system. SoS Engineering (SoSE) is a sub-discipline of SE; Risk Management and Modelling and Simulation (M&S) are key areas within SoSE, both of which also lie within the traditional SE domain. Risk Management of SoS requires a different approach to that currently taken for individual systems; if risk is managed for each component system then it cannot be assumed that the aggregated affect will be to mitigate risk at the SoS level.A literature review was undertaken examining three themes: (1) SoS Engineering (SoSE), (2) M&S and (3) Risk.Theme 1 of the literature provided insight into the activities comprising SoSE and its difference from traditional SE with risk management identified as a key activity.The second theme discussed the application of M&S to SoS, providing an output, which supported the identification of appropriate techniques and concluding that, the inherent complexity of a SoS required the use of M&S in order to support SoSE activities.Current risk management approaches were reviewed in theme 3 as well as the management of SoS risk. Although some specific examples of the management of SoS risk were found, no mature, general approach was identified, indicating a gap in current knowledge. However, it was noted most of these examples were underpinned by M&S approaches.It was therefore concluded a general approach SoS risk management utilising M&S methods would be of benefit.In order to fill the gap identified in current knowledge, this research proposed a new model based approach to Risk Management where risk identification was supported by a framework, which combined SoS system of interest dimensions with holistic risk types, where the resulting risks and contributing factors are captured in a causal network.Analysis of the causal network using a model technique selection tool, developed as part of this research, allowed the causal network to be simplified through the replacement of groups of elements within the network by appropriate supporting models.The Bayesian Belief Network (BBN) was identified as a suitable method to represent SoS risk.Supporting models run in Monte Carlo Simulations allowed data to be generated from which A Model Based Approach to System of Systems Risk Management iii the risk BBNs could learn, thereby providing a more quantitative approach to SoS risk management. A method was developed which provided context to the BBN risk output through comparison with worst and best-case risk probabilities.The model based approach to Risk Management was applied to two very different case studies: Close Air Support mission planning and the Wheat Supply Chain, UK National Food Security risks, demonstrating its effectiveness and adaptability.The research established that the SoS SoI is essential for effective SoS risk i...

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“…More recently, models produced by the three M&S approaches together are also presented in the literature. 7, 12, 27,42,43 However, these multi-paradigm simulation studies do not always establish a relevant conceptual framework prior to the model implementation and do not justify the reasons for using each particular M&S paradigm. 12, 44, 45…”

Section: Introductionmentioning

confidence: 99%

A modeling framework for the application of multi-paradigm simulation methods

Mykoniatis

Angelopoulou

2019

SIMULATION

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Decisions about modeling and simulation (M&S) of real-world systems need to be evaluated prior to implementation. Discrete Event, System Dynamics, and Agent Based are three different modeling and simulation approaches widely applied to enhance decision-making of M&S of these systems. Combining and/or integrating these methods can provide solutions to a plethora of systems’ problems. However, current solutions and frameworks do not provide guidance for selecting and deploying M&S models. Hence, the aim of this work is to present a generic modeling framework for combining and/or integrating Discrete Event, System Dynamics, and Agent Based simulation approaches. The framework is termed multi-paradigm modeling framework (MPMF). In this paper, we describe the research methodology that was followed for the development of MPMF, the different phases of MPMF, and the generic relationships of forming and deploying multi-paradigm simulation models. Then we evaluate the framework by using it for the implementation of a universal task analysis simulation model (UTASiMo). The MPMF provided guidance on what methods need to be incorporated into the UTASiMo models, what information is exchanged among those models, and how these models are connected and interact with each other.

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A multi-paradigm modelling & simulation approach for system of systems engineering: A case study

Cited by 11 publications

References 8 publications

MDE and MDA in a Multi-Paradigm Modeling Perspective

MDE and MDA in a Multi-Paradigm Modeling Perspective

A model based approach to system of systems risk management

A modeling framework for the application of multi-paradigm simulation methods

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