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dc.contributor.advisorShing, Man-Tak
dc.contributor.authorCummings, Mary Ann
dc.dateSep-15
dc.date.accessioned2015-11-06T18:22:10Z
dc.date.available2015-11-06T18:22:10Z
dc.date.issued2015-09
dc.identifier.urihttp://hdl.handle.net/10945/47243
dc.descriptionApproved for public release; distribution is unlimiteden_US
dc.description.abstractThe U.S. Department of Defense builds many weapons systems as Systems of Systems (SoSs). Operational testing is used to test capabilities in these SoSs, but testing all configurations of the SoSs may not be possible due to cost and the environment. Modeling and simulation (M&S) is an alternative to operationally testing all functionality and interfaces in these SoSs. An inherent deficiency of existing M&S approaches, however, lies in the emergent behavior that occurs as a result of interactions among the component systems. Applying M&S to individual components cannot detect this emergent behavior, but not detecting emergent behavior of an SoS as a whole diminishes its testing process. This dissertation develops a software architecture for an M&S framework, based on Ziegler’s theory, that makes the identification and quantification of emergent behavior possible in an SoS M&S by providing a collector of SoS metrics. This software architecture has a great advantage over the current approaches because it supports swappable and configurable components to make simulation possible over different models and parameters without costly reprogramming. This dissertation also develops an improved process for the analyst to identify and quantify emergent behavior in an SoS M&S.en_US
dc.description.urihttp://archive.org/details/identifyingndqua1094547243
dc.publisherMonterey, California: Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleIdentifying and quantifying emergent behavior through system of systems modeling and simulationen_US
dc.typeThesisen_US
dc.contributor.departmentComputer Science
dc.contributor.departmentComputer Scienceen_US
dc.subject.authorsystem of systemsen_US
dc.subject.authormodeling and simulationen_US
dc.subject.authorsimulatorsen_US
dc.subject.authorexperimental framesen_US
dc.subject.authoremergent behavioren_US
dc.subject.authormetrics collectoren_US
dc.subject.authorSoS metricsen_US
dc.description.serviceCivilian, Department of the Navyen_US
etd.thesisdegree.nameDoctor of Philosophy in Software Engineeringen_US
etd.thesisdegree.levelDoctoralen_US
etd.thesisdegree.disciplineSoftware Engineeringen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US


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