Pub Date : 2018-06-19DOI: 10.1109/SYSOSE.2018.8428698
J. Axelsson, Joakim Fröberg, Peter S. Eriksson
Road construction is a very large business segment, consuming enormous public funding every year and with significant environmental impacts. However, the rate of efficiency improvement during the last few decades has been negligible, whereas other industries, such as manufacturing, have seen very large improvements by applying automation and Leanbased flow optimization across the production system. In this paper, we outline a system-of-systems concept for road construction which applies similar principles as have previously proved successful in other industries. The paper identifies efficiency attributes and wastes in current practices, which lead to a conceptual solution that focuses on improved coordination of working machines. Technical elements from Industry 4.0 are considered as potential building blocks in this concept, identifying similarities and differences between the construction domain and other industries. Finally, challenges are identified, in particular within knowledge representation and information management.
{"title":"Towards a System-of-Systems for Improved Road Construction Efficiency Using Lean and Industry 4.0","authors":"J. Axelsson, Joakim Fröberg, Peter S. Eriksson","doi":"10.1109/SYSOSE.2018.8428698","DOIUrl":"https://doi.org/10.1109/SYSOSE.2018.8428698","url":null,"abstract":"Road construction is a very large business segment, consuming enormous public funding every year and with significant environmental impacts. However, the rate of efficiency improvement during the last few decades has been negligible, whereas other industries, such as manufacturing, have seen very large improvements by applying automation and Leanbased flow optimization across the production system. In this paper, we outline a system-of-systems concept for road construction which applies similar principles as have previously proved successful in other industries. The paper identifies efficiency attributes and wastes in current practices, which lead to a conceptual solution that focuses on improved coordination of working machines. Technical elements from Industry 4.0 are considered as potential building blocks in this concept, identifying similarities and differences between the construction domain and other industries. Finally, challenges are identified, in particular within knowledge representation and information management.","PeriodicalId":314200,"journal":{"name":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131353012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/SYSOSE.2018.8428708
F. K. Simo, D. Lenne
We concentrate in this paper on a requirement to the successful engineered systems (of systems—SoS), which is the goal of the system engineering process. The requirement is the need for a common communication system. We begin with an overview of Systems Engineering whereof we finally point out that not all systems to engineer give rise to the same relative difficulty of the Systems Engineering Process (SEP). We also point out some theoretic computational complexity of the design process and raise the importance of a descriptive (the Kolmogorov) complexity. Next, we study how the basic facts related to the technical and programmatic processes can be explained and communicated throughout the SEP. Finally, we present the scope of the necessary common communication system for which we eventually elaborate on its architecture.
{"title":"On the Systems Engineering Process of some Systems (of Systems)","authors":"F. K. Simo, D. Lenne","doi":"10.1109/SYSOSE.2018.8428708","DOIUrl":"https://doi.org/10.1109/SYSOSE.2018.8428708","url":null,"abstract":"We concentrate in this paper on a requirement to the successful engineered systems (of systems—SoS), which is the goal of the system engineering process. The requirement is the need for a common communication system. We begin with an overview of Systems Engineering whereof we finally point out that not all systems to engineer give rise to the same relative difficulty of the Systems Engineering Process (SEP). We also point out some theoretic computational complexity of the design process and raise the importance of a descriptive (the Kolmogorov) complexity. Next, we study how the basic facts related to the technical and programmatic processes can be explained and communicated throughout the SEP. Finally, we present the scope of the necessary common communication system for which we eventually elaborate on its architecture.","PeriodicalId":314200,"journal":{"name":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115280546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/SYSOSE.2018.8428742
P. Hershey, Michael Sica
The flood of data from Multi-Intelligence sources (e.g., air and space sensors, street cameras, and social media) is overwhelming mission operators who manually or semi-autonomously ingest and make decisions on these data. This data glut is driving the development of Systems of Systems (SoS) solutions that exhibit emergent behavior evolving to fully autonomous methods that allow end users to focus on critical data first in order to make timely decisions and assure mission success.
{"title":"System of Systems for Tripwires Activation of Algorithms and Reasoning (STAAR) for Analysis of Mission Success","authors":"P. Hershey, Michael Sica","doi":"10.1109/SYSOSE.2018.8428742","DOIUrl":"https://doi.org/10.1109/SYSOSE.2018.8428742","url":null,"abstract":"The flood of data from Multi-Intelligence sources (e.g., air and space sensors, street cameras, and social media) is overwhelming mission operators who manually or semi-autonomously ingest and make decisions on these data. This data glut is driving the development of Systems of Systems (SoS) solutions that exhibit emergent behavior evolving to fully autonomous methods that allow end users to focus on critical data first in order to make timely decisions and assure mission success.","PeriodicalId":314200,"journal":{"name":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116784286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/SYSOSE.2018.8428701
Amer Surkovic, Dzana Hanic, Elena Lisova, Aida Čaušević, David Wenslandt, Carl Falk
In context of safety-critical Systems of Systems (SoS) that are built as a collection of several systems capable of fulfilling their own function as well as the overall SoS function, increase production efficiency and decrease human effort in such systems, one has to be able to guarantee critical properties such as safety and security. It is not sufficient to analyze and guarantee these critical properties isolated one from another, but one has to be able to provide joint analysis and guarantees on safety and security. This paper is our initial effort towards building a common safety and security assurance approach for complex SoS, where we start from identification and analysis of attack models and connecting them to the already identified functional safety requirements. In this way we will be able to assess system assets and vulnerabilities, and identify ways how an attacker could exploit them. We aim to connect attack modeling process to safety process by aligning mitigation strategies with safety requirements.
{"title":"Towards Attack Models in Autonomous Systems of Systems","authors":"Amer Surkovic, Dzana Hanic, Elena Lisova, Aida Čaušević, David Wenslandt, Carl Falk","doi":"10.1109/SYSOSE.2018.8428701","DOIUrl":"https://doi.org/10.1109/SYSOSE.2018.8428701","url":null,"abstract":"In context of safety-critical Systems of Systems (SoS) that are built as a collection of several systems capable of fulfilling their own function as well as the overall SoS function, increase production efficiency and decrease human effort in such systems, one has to be able to guarantee critical properties such as safety and security. It is not sufficient to analyze and guarantee these critical properties isolated one from another, but one has to be able to provide joint analysis and guarantees on safety and security. This paper is our initial effort towards building a common safety and security assurance approach for complex SoS, where we start from identification and analysis of attack models and connecting them to the already identified functional safety requirements. In this way we will be able to assess system assets and vulnerabilities, and identify ways how an attacker could exploit them. We aim to connect attack modeling process to safety process by aligning mitigation strategies with safety requirements.","PeriodicalId":314200,"journal":{"name":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127210329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/SYSOSE.2018.8428706
C. French
The introduction of the Programs construct within the Australian Department of Defence in 2016 has resulted in several different and collaborative work streams. The work streams all work to understand, define and make use of the Program by applying System of Systems principles. Existing work has provided direction regarding the People, Processes, Tools, Information, Governance, and Culture, supported by an Evidence-based approach. This paper summarises and captures work performed against the above items and references them towards the common, holistic approach being sought to ensure Program success. Initial implementations of the concepts have been undertaken to build the internal acceptance of the approaches, which will also be discussed.
{"title":"Understanding the implementation of a Programs construct in order to establish an information structure and communicate the rich picture","authors":"C. French","doi":"10.1109/SYSOSE.2018.8428706","DOIUrl":"https://doi.org/10.1109/SYSOSE.2018.8428706","url":null,"abstract":"The introduction of the Programs construct within the Australian Department of Defence in 2016 has resulted in several different and collaborative work streams. The work streams all work to understand, define and make use of the Program by applying System of Systems principles. Existing work has provided direction regarding the People, Processes, Tools, Information, Governance, and Culture, supported by an Evidence-based approach. This paper summarises and captures work performed against the above items and references them towards the common, holistic approach being sought to ensure Program success. Initial implementations of the concepts have been undertaken to build the internal acceptance of the approaches, which will also be discussed.","PeriodicalId":314200,"journal":{"name":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123555559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/SYSOSE.2018.8428738
A. Seghiri, F. Belala, Zakaria Benzadri, N. Hameurlain
Systems of Systems (SoS) are an emergent class of complex systems where the process of architecting and/or developing these systems differs in important ways from other types of complex systems. Usually, SoS are built from components that are large-scale systems in their own right. SoS concerns, such as dispersion, dynamic evolution and emergent behaviour are closely related to communications nature that may exist between sub components. This paper explores an architectural modeling method where communications and relationships in SoS are explicitly and well defined. An Architectural Description Language (called ArchSoS) dedicated to the specification of SoS is proposed. Then a formal semantics based on rewriting logic, through its high-level implementation language Maude, is associated to all SoS architectural elements. This semantic ensures the connectivity (over time) of SoS sub-systems, and the emergence of new SoS services. An illustration of our approach on a Maritime Transport case study is described.
{"title":"A Maude based Specification for SoS Architecture","authors":"A. Seghiri, F. Belala, Zakaria Benzadri, N. Hameurlain","doi":"10.1109/SYSOSE.2018.8428738","DOIUrl":"https://doi.org/10.1109/SYSOSE.2018.8428738","url":null,"abstract":"Systems of Systems (SoS) are an emergent class of complex systems where the process of architecting and/or developing these systems differs in important ways from other types of complex systems. Usually, SoS are built from components that are large-scale systems in their own right. SoS concerns, such as dispersion, dynamic evolution and emergent behaviour are closely related to communications nature that may exist between sub components. This paper explores an architectural modeling method where communications and relationships in SoS are explicitly and well defined. An Architectural Description Language (called ArchSoS) dedicated to the specification of SoS is proposed. Then a formal semantics based on rewriting logic, through its high-level implementation language Maude, is associated to all SoS architectural elements. This semantic ensures the connectivity (over time) of SoS sub-systems, and the emergence of new SoS services. An illustration of our approach on a Maritime Transport case study is described.","PeriodicalId":314200,"journal":{"name":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125342984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/SYSOSE.2018.8428783
Marc F. Austin, Donald M. York
All too often, System of Systems (SoS) development efforts are undertaken without a proper enterprise understanding. The lack of an enterprise approach to System of Systems development has the potential to yield multiple, concurrent, stovepiped programs. The four simple questions posed in this paper form a framework that provides the necessary enterprise approach to any SoS development effort. The questions tie together Development, Systems Engineering, and Corporate Portfolio Management in a measurable and accountable fashion. In effect, these four questions constitute a litmus test for SoS development and the answers provide a definitive indication of risk for the development journey. In the enterprise approach espoused by this paper, all programs are analyzed taking into consideration future strategic objectives which results in improved capabilities, reduced duplicative efforts, and potentially significant cost savings.
{"title":"Bucketology and an Enterprise Approach to System of Systems Development","authors":"Marc F. Austin, Donald M. York","doi":"10.1109/SYSOSE.2018.8428783","DOIUrl":"https://doi.org/10.1109/SYSOSE.2018.8428783","url":null,"abstract":"All too often, System of Systems (SoS) development efforts are undertaken without a proper enterprise understanding. The lack of an enterprise approach to System of Systems development has the potential to yield multiple, concurrent, stovepiped programs. The four simple questions posed in this paper form a framework that provides the necessary enterprise approach to any SoS development effort. The questions tie together Development, Systems Engineering, and Corporate Portfolio Management in a measurable and accountable fashion. In effect, these four questions constitute a litmus test for SoS development and the answers provide a definitive indication of risk for the development journey. In the enterprise approach espoused by this paper, all programs are analyzed taking into consideration future strategic objectives which results in improved capabilities, reduced duplicative efforts, and potentially significant cost savings.","PeriodicalId":314200,"journal":{"name":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","volume":"557 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124686743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/SYSOSE.2018.8428739
C. Quesada, P. Villon, A. Salsac
A novel inverse analysis procedure based on diffuse approximation is presented to characterize the mechanical behavior of microcapsules. The method consists in flowing a dilute suspension of capsules through a prismatic microfluidic channel with a cross-section size comparable to the capsule diameter. For each capsule, we record its deformed profile and deduce from it a series of geometrical quantities and the capsule velocity. The unknowns are the membrane mechanical properties and the exact mean velocity of the background flow when the capsule is captured. A full mechanical model of the motion and deformation of a capsule is used to generate an exhaustive database of simulated profiles for different values of the input parameters: the capillary number and the size ratio. From the set of quantities obtained experimentally as well as the precomputed database, diffuse approximation efficiently estimates the unknown values of the input parameters of the flowing capsule. The shear modulus can then be determined with high precision provided that the capsule is sufficiently deformed to exhibit a parachute shape at the rear.
{"title":"Identification of the mechanical properties of microcapsules using diffuse approximation","authors":"C. Quesada, P. Villon, A. Salsac","doi":"10.1109/SYSOSE.2018.8428739","DOIUrl":"https://doi.org/10.1109/SYSOSE.2018.8428739","url":null,"abstract":"A novel inverse analysis procedure based on diffuse approximation is presented to characterize the mechanical behavior of microcapsules. The method consists in flowing a dilute suspension of capsules through a prismatic microfluidic channel with a cross-section size comparable to the capsule diameter. For each capsule, we record its deformed profile and deduce from it a series of geometrical quantities and the capsule velocity. The unknowns are the membrane mechanical properties and the exact mean velocity of the background flow when the capsule is captured. A full mechanical model of the motion and deformation of a capsule is used to generate an exhaustive database of simulated profiles for different values of the input parameters: the capillary number and the size ratio. From the set of quantities obtained experimentally as well as the precomputed database, diffuse approximation efficiently estimates the unknown values of the input parameters of the flowing capsule. The shear modulus can then be determined with high precision provided that the capsule is sufficiently deformed to exhibit a parachute shape at the rear.","PeriodicalId":314200,"journal":{"name":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126709811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/SYSOSE.2018.8428753
Chao Fan, Cheng Zhang, A. Mostafavi
The objective of this paper is to establish a meta-network framework to identify constituents in Disaster Management System-of-Systems (DM-SoS), conceptualize relationships and interactions among the constituents, and formulate quantitative measurements of DM-SoS performance for achieving network-centric operation and coordination in the context of disasters. With increasingly serious impacts of disasters on interdependent and heterogeneous systems, the improvement of effective and integrative disaster response and coordination is needed. However, some existing literature only proposed some frameworks for modeling disaster management systems, while another stream of studies only examined the social network analysis (SNA) for understanding the interactions between stakeholders. Thus, quantitative and integrative measurements in DM-SoS are missing. To address this knowledge gap, the authors created and discussed a meta- network framework integrating various types of entities and relationships for quantitatively analyzing the performance of DM-SoS. First, this framework defined nodes and links in meta-metrics for abstracting constituents in disaster management. Second, some performance indicators (e.g., effectiveness, the extent of information sharing, and the extent of self-organization) were created to show the capacities of disaster systems, and the potential perturbations in disaster environment were translated by network theory. Finally, we examined the impacts of perturbations on the indicators and assessed the performance by integrating overall indicators. This study highlighted the significance of quantitative measurements and an integrative perspective on analyzing efficiency and effectiveness of disaster response and coordination. The study also provides implications for making comparisons of different response strategies for decision makers to achieve resilient disaster management systems.
{"title":"Meta-Network Framework for Analyzing Disaster Management System-of-Systems","authors":"Chao Fan, Cheng Zhang, A. Mostafavi","doi":"10.1109/SYSOSE.2018.8428753","DOIUrl":"https://doi.org/10.1109/SYSOSE.2018.8428753","url":null,"abstract":"The objective of this paper is to establish a meta-network framework to identify constituents in Disaster Management System-of-Systems (DM-SoS), conceptualize relationships and interactions among the constituents, and formulate quantitative measurements of DM-SoS performance for achieving network-centric operation and coordination in the context of disasters. With increasingly serious impacts of disasters on interdependent and heterogeneous systems, the improvement of effective and integrative disaster response and coordination is needed. However, some existing literature only proposed some frameworks for modeling disaster management systems, while another stream of studies only examined the social network analysis (SNA) for understanding the interactions between stakeholders. Thus, quantitative and integrative measurements in DM-SoS are missing. To address this knowledge gap, the authors created and discussed a meta- network framework integrating various types of entities and relationships for quantitatively analyzing the performance of DM-SoS. First, this framework defined nodes and links in meta-metrics for abstracting constituents in disaster management. Second, some performance indicators (e.g., effectiveness, the extent of information sharing, and the extent of self-organization) were created to show the capacities of disaster systems, and the potential perturbations in disaster environment were translated by network theory. Finally, we examined the impacts of perturbations on the indicators and assessed the performance by integrating overall indicators. This study highlighted the significance of quantitative measurements and an integrative perspective on analyzing efficiency and effectiveness of disaster response and coordination. The study also provides implications for making comparisons of different response strategies for decision makers to achieve resilient disaster management systems.","PeriodicalId":314200,"journal":{"name":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130677580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/SYSOSE.2018.8428736
Laurent Bobelin, K. Drira, Cédric Eichler
Systems of systems (SoSs) are composed of multiple operationally and managerially independent systems whose cooperation may lead to the apparition of emergent behaviors. Analysis of constituents and emergent properties is a cornerstone of SoSs. However, systems constituting a SoS may be arbitrarily complex. Therefore, precise modeling of SoSs may produce an enormous amount of information. Analyzing and modeling SoSs is thus a difficult task: how to conciliate complexity and provability of existence/absence of (emergent) properties ? Multiscale architecture modeling is appropriate for handling the inherent complexity of SoSs. Multiscale modeling enables to look at a problem simultaneously from different scales and different levels of detail. It takes advantage of data available at distinct scales, accordingly managing the complexity of behavior involved. Existing works regarding multiscale software architecture often specify a set of fixed views with loose definition of scales and scale dimensions, dramatically restricting scales usage. Furthermore, specification of scale changes have been mildly studied and are often handled as simple refinements. Yet, an adequate representation of model transformations is a key-factor for enabling system analysis. In this paper, we firstly present the formal definition of two scale dimensions: extend and grain. Extend allows to flexibly consider various subsystems, while grain specify different level of details. We formally define scale changes in this context and study their impact on system (emergent) properties.
{"title":"Toward a Formal Multiscale Architectural Framework for Emerging Properties Analysis in Systems of Systems","authors":"Laurent Bobelin, K. Drira, Cédric Eichler","doi":"10.1109/SYSOSE.2018.8428736","DOIUrl":"https://doi.org/10.1109/SYSOSE.2018.8428736","url":null,"abstract":"Systems of systems (SoSs) are composed of multiple operationally and managerially independent systems whose cooperation may lead to the apparition of emergent behaviors. Analysis of constituents and emergent properties is a cornerstone of SoSs. However, systems constituting a SoS may be arbitrarily complex. Therefore, precise modeling of SoSs may produce an enormous amount of information. Analyzing and modeling SoSs is thus a difficult task: how to conciliate complexity and provability of existence/absence of (emergent) properties ? Multiscale architecture modeling is appropriate for handling the inherent complexity of SoSs. Multiscale modeling enables to look at a problem simultaneously from different scales and different levels of detail. It takes advantage of data available at distinct scales, accordingly managing the complexity of behavior involved. Existing works regarding multiscale software architecture often specify a set of fixed views with loose definition of scales and scale dimensions, dramatically restricting scales usage. Furthermore, specification of scale changes have been mildly studied and are often handled as simple refinements. Yet, an adequate representation of model transformations is a key-factor for enabling system analysis. In this paper, we firstly present the formal definition of two scale dimensions: extend and grain. Extend allows to flexibly consider various subsystems, while grain specify different level of details. We formally define scale changes in this context and study their impact on system (emergent) properties.","PeriodicalId":314200,"journal":{"name":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127744165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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