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dc.contributor.advisorDaniel Jackson.en_US
dc.contributor.authorSeater, Robert Morrisonen_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2009-10-01T15:41:28Z
dc.date.available2009-10-01T15:41:28Z
dc.date.copyright2009en_US
dc.date.issued2009en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/47777
dc.descriptionThesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009.en_US
dc.descriptionIncludes bibliographical references (p. 301-308).en_US
dc.description.abstractA method is introduced for structuring and guiding the development of end-to-end dependability arguments. The goal is to establish high-level requirements of complex software-intensive systems, especially properties that cross-cut normal functional decomposition. The resulting argument documents and validates the justification of system-level claims by tracing them down to component-level substantiation, such as automatic code analysis or cryptographic proofs. The method is evaluated on case studies drawn from the Burr Proton Therapy Center, operating at Massachusetts General Hospital, and on the Pret a Voter cryptographic voting system, developed at the University of Newcastle.en_US
dc.description.statementofresponsibilityby Robert Morrison Seater.en_US
dc.format.extent308 p.en_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleBuilding dependability arguments for software intensive systemsen_US
dc.typeThesisen_US
dc.description.degreePh.D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc428978125en_US


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