Thesis (Ph. D.)--University of Washington, 2003. / Vita. Includes bibliographical references (leaves 134-139).

Thesis (Ph. D.)--University of Missouri-Columbia, 2003. / Typescript. Vita. Includes bibliographical references (leaves 186-201). Also available on the Internet.

Thesis (Ph. D.)--University of Missouri-Columbia, 2003. / Typescript. Vita. Includes bibliographical references (leaves 186-201). Also available on the Internet.

Thesis (M.S. in Computer Science)--Naval Postgraduate School, December 2003. / Thesis advisor(s): Bill Ray, Shing Man Tak. Includes bibliographical references (p. 215). Also available online.

Thesis (Ph. D.)--University of Hong Kong, 2002. / Includes bibliographical references (leaves 136-143).

Thesis (M. S.)--Mechanical Engineering, Georgia Institute of Technology, 2010. / Committee Chair: Dr. Michael Leamy; Committee Member: Dr. Karim Sabra; Committee Member: Dr. Aldo Ferri. Part of the SMARTech Electronic Thesis and Dissertation Collection.

Thesis (Ph. D.)--University of Missouri-Columbia, 2002. / Typescript. Vita. Includes bibliographical references (leaves 134-137). Also available on the Internet.

Thesis (Ph. D.)--University of Missouri-Columbia, 2002. / Typescript. Vita. Includes bibliographical references (leaves 134-137). Also available on the Internet.

There are two popular approaches when developing a software system, the first being System Analysis/System Design (SA/SD) and the second being an Object-Oriented (00) approach. In either approach a poor design inevitably produces a poor application. Thus, being able to evaluate the quality of a systems design is advantageous.The Design Metrics Research Team at Ball State University has developed metrics that measure the quality of software systems. From this research the metric D(G) (a composite of the metrics De and D) has been shown to be very effective when used to determine fault prone modules in a system. However, D(G) has been primarily applied to systems developed using the SA/SD approach. This thesis translated D(G) to an 00 setting and empirically evaluated D(G) to determine if D(G) is a good predictor of error-prone classes. The results indicate that De and Di are indeed good predictors of error-prone classes. Of the classes highlighted by De, 67% had errors, while 100% of the classes highlighted by D; had errors. / Department of Computer Science

This study extends a recently-developed [1] cellular automata (CA) elastodynamic modeling approach to arbitrary two-dimensional geometries through development of a rule set appropriate for triangular cells. The approach is fully object-oriented (OO) and exploits OO conventions to produce compact, general, and easily-extended CA classes. Meshes composed of triangular cells allow the elastodynamic response of arbitrary two-dimensional geometries to be computed accurately and efficiently. As in the previous rectangular CA method, each cell represents a state machine which updates in a stepped-manner using a local "bottom-up" rule set and state input from neighboring cells. The approach avoids the need to develop partial differential equations and the complexity therein. Several advantages result from the method's discrete, local and object-oriented nature, including the ability to compute on a massively-parallel basis and to easily add or subtract cells in a multi-resolution manner. The extended approach is used to generate the elastodynamic responses of a variety of general geometries and loading cases (Dirichlet and Nuemann), which are compared to previous results and/or comparison results generated using the commercial finite element code, COMSOL. These include harmonic interior domain loading, uniform boundary traction, and ramped boundary displacement. Favorable results are reported in all cases, with the CA approach requiring fewer degrees of freedom to achieve similar or better accuracy, and considerably less code development.