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dc.contributor.advisorOlivier L. de Weck.en_US
dc.contributor.authorGiffin, Monica L. (Monica Lee)en_US
dc.contributor.otherSystem Design and Management Program.en_US
dc.date.accessioned2008-09-03T15:25:08Z
dc.date.available2008-09-03T15:25:08Z
dc.date.copyright2007en_US
dc.date.issued2007en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/42351
dc.descriptionThesis (S.M.)--Massachusetts Institute of Technology, System Design and Management Program, 2007.en_US
dc.descriptionIncludes bibliographical references (p. 76-77).en_US
dc.description.abstractPropagation of engineering changes has gained increasing scrutiny as the complexity and scale of engineered systems has increased. Over the past decade academic interest has risen, yielding some small-scale in-depth studies, as well as a variety of tools aimed at aiding investigation, analysis and prediction of change propagation. This thesis applies many of the methods and seeks to apply and extend prior reasoning through examination of a large data set from industry, including data from more than 41,000 change requests (most technical, but others not) over nearly a decade. Different methods are used to analyze the data from a variety of perspectives, in both the technical and managerial realms, and the results are compared to each other and evaluated in the context of previous findings. Macro-level patterns emerge independent of smaller scale data patterns, and in many cases offer clear implications for technical management approaches for large, complex systems development.en_US
dc.description.statementofresponsibilityby Monica L. Giffin.en_US
dc.format.extent110 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.subjectSystem Design and Management Program.en_US
dc.titleChange propagation in large technical systemsen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentSystem Design and Management Program.en_US
dc.identifier.oclc234177126en_US


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