Document Type


Date of Award

Spring 5-31-2000

Degree Name

Doctor of Philosophy in Computing Sciences - (Ph.D.)


Computer and Information Science

First Advisor

Franz J. Kurfess

Second Advisor

Daochuan Hung

Third Advisor

David Nassimi

Fourth Advisor

Pengcheng Shi

Fifth Advisor

Yongming Tang

Sixth Advisor

Ke Liu


To solve the problems coming with the current software development methodologies, component-based software engineering has caught many researchers' attention recently. In component-based software engineering, a software system is considered as a set of software components assembled together instead of as a set of functions from the traditional perspective. Software components can be bought from third party vendors as off-the-shelf components and be assembled together.

Component-based software engineering, though very promising, needs to solve several core issues before it becomes a mature software development strategy. The goal of this dissertation is to establish an infrastructure for component-based software development. The author identifies and studies some of the core issues such as component planning, component building, component assembling, component representation, and component retrieval.

A software development process model is developed in this dissertation to emphasize the reuse of existing software components. The software development process model addresses how a software system should be planned and built to maximize the reuse of software components. It conducts domain engineering and application engineering simultaneously to map a software system to a set of existing components in such a way that the development of a software system can reuse the existing software components to the full extent. Besides the planning of software development based on component technology, the migration and integration of legacy systems, most of which are non-component-based systems, to the component-based software systems are studied. A framework and several methodologies are developed to serve as the guidelines of adopting component technology in legacy systems.

Component retrieval is also studied in this dissertation. One of the most important issues in component-based software engineering is how to find a software component quickly and accurately in a component repository. A component representation framework is developed in this dissertation to represent software components. Based on the component representation framework, an efficient searching method that combines neural network, information retrieval, and Bayesian inference technology is developed. Finally a prototype component retrieval system is implemented to demonstrate the correctness and feasibility of the proposed method.



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