2026-09-21T20:25:39Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/423512022-01-13T07:55:19Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Olivier L. de Weck.
Giffin, Monica L. (Monica Lee)
System Design and Management Program.
System Design and Management Program.
2008-09-03T15:25:08Z
2008-09-03T15:25:08Z
2007
2007
http://hdl.handle.net/1721.1/42351
234177126
Thesis (S.M.)--Massachusetts Institute of Technology, System Design and Management Program, 2007.
Includes bibliographical references (p. 76-77).
Propagation 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.
by Monica L. Giffin.
S.M.
110 p.
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by
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http://dspace.mit.edu/handle/1721.1/7582
System Design and Management Program.
Change propagation in large technical systems
Thesis
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