Date of Award
2011-01-01
Degree Name
Master of Science
Department
Electrical Engineering
Advisor(s)
Eric D. Smith
Abstract
Cost estimation for engineering projects has advanced beyond the bottom-up counting of costs and the top-down use of analogies. Parametric cost estimation is now employed to estimate volatile software costs, as well as the cost of Systems Engineering (SE) effort in engineering projects. The Constructive Systems Engineering Cost Model (COSYSMO) estimates the number of Person-Months (PM) necessary to complete systems engineering projects by using project size and cost parameters. On re-examining the nature of systems engineering and the structures of complex projects that must be built in an orderly fashion on a variety of scales, it is apparent that a parametric formula that employs fractal dimensionality principles should be well suited for their cost estimation. This thesis therefore develops the connections between fractal dimensionality and cost estimation with COSYSMO. The result is Fractal-COSYSMO, a novel cost estimating formulation that can be used to determine the cost of developing systems that show complexity on a broad scale.
Language
en
Provenance
Received from ProQuest
Copyright Date
2011
File Size
129 pages
File Format
application/pdf
Rights Holder
Manish Shivram Khadtare
Recommended Citation
Khadtare, Manish Shivram, "Fractal-COSYSMO Systems Engineering Cost Estimation for Complex Projects" (2011). Open Access Theses & Dissertations. 2326.
https://scholarworks.utep.edu/open_etd/2326