Thesis (Ph. D.)--Ohio State University, 2004. / Title from first page of PDF file. Document formatted into pages; contains xv, 147 p.; also includes graphics. Includes abstract and vita. Advisors: Paolo A.G. Sivilotti and Bruce W. Weide, Dept. of Computer and Information Science. Includes bibliographical references (p. 140-147).

Thesis (M.S.)--Worcester Polytechnic Institute. / Keywords: component adaptations; active interfaces; blackbox component adaptation; component specification language; software reuse. Includes bibliographical references.

published_or_final_version / abstract / toc / Computer Science and Information Systems / Master / Master of Philosophy

Thesis (M.S. in Computer Science)--Washington State University. / Includes bibliographical references.

Thesis (Ph.D. in computer science)--Washington State University, August 2005. / Includes bibliographical references.

Thesis (Ph. D.)--West Virginia University, 2005. / Title from document title page. Document formatted into pages; contains ix, 132 p. : ill. (some col.). Vita. Includes abstract. Includes bibliographical references (p. 114-116).

Thesis (M.App.Sc.) - Carleton University, 2005. / Includes bibliographical references (p. 162-166). Also available in electronic format on the Internet.

Thesis (M.S.)--West Virginia University, 2002. / Title from document title page. Document formatted into pages; contains vii, 62 p. : ill. (some col.). Vita. Includes abstract. Includes bibliographical references (p. 26-27).

Thesis (M.S.)--Worcester Polytechnic Institute. / Keywords: intelligent tutoring systems; component based software engineering Includes bibliographical references.

Cai Xia. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2002. / Includes bibliographical references (leaves 105-110). / Abstracts in English and Chinese. / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Component-Based Software Development and Quality Assurance Issues --- p.1 / Chapter 1.2 --- Our Main Contributions --- p.5 / Chapter 1.3 --- Outline of This Thesis --- p.6 / Chapter 2 --- Technical Background and Related Work --- p.8 / Chapter 2.1 --- Development Framework for Component-based Software --- p.8 / Chapter 2.1.1 --- Common Object Request Broker Architecture (CORBA) --- p.9 / Chapter 2.1.2 --- Component Object Model (COM) and Distributed COM (DCOM) --- p.12 / Chapter 2.1.3 --- Sun Microsystems's JavaBeans and Enterprise JavaBeans --- p.14 / Chapter 2.1.4 --- Comparison among Different Frameworks --- p.17 / Chapter 2.2 --- Quality Assurance for Component-Based Systems --- p.199 / Chapter 2.2.1 --- Traditional Quality Assurance Issues --- p.199 / Chapter 2.2.2 --- The Life Cycle of Component-based Software Systems --- p.255 / Chapter 2.2.3 --- Differences between components and objects --- p.266 / Chapter 2.2.4 --- Quality Characteristics of Components --- p.27 / Chapter 2.3 --- Quality Prediction Techniques --- p.32 / Chapter 2.3.1 --- ARMOR: A Software Risk Analysis Tool --- p.333 / Chapter 3 --- A Quality Assurance Model for CBSD --- p.35 / Chapter 3.1 --- Component Requirement Analysis --- p.38 / Chapter 3.2 --- Component Development --- p.39 / Chapter 3.3 --- Component Certification --- p.40 / Chapter 3.4 --- Component Customization --- p.42 / Chapter 3.5 --- System Architecture Design --- p.43 / Chapter 3.6 --- System Integration --- p.44 / Chapter 3.7 --- System Testing --- p.45 / Chapter 3.8 --- System Maintenance --- p.46 / Chapter 4 --- A Generic Quality Assessment Environment: ComPARE --- p.48 / Chapter 4.1 --- Objective --- p.50 / Chapter 4.2 --- Metrics Used in ComPARE --- p.53 / Chapter 4.2.1 --- Metamata Metrics --- p.55 / Chapter 4.2.2 --- JProbe Metrics --- p.57 / Chapter 4.2.3 --- Application of Metamata and Jprobe Metrics --- p.58 / Chapter 4.3 --- Models Definition --- p.61 / Chapter 4.3.1 --- Summation Model --- p.61 / Chapter 4.3.2 --- Product Model --- p.62 / Chapter 4.3.3 --- Classification Tree Model --- p.62 / Chapter 4.3.4 --- Case-Based Reasoning Model --- p.64 / Chapter 4.3.5 --- Bayesian Network Model --- p.65 / Chapter 4.4 --- Operations in ComPARE --- p.66 / Chapter 4.5 --- ComPARE Prototype --- p.68 / Chapter 5 --- Experiments and Discussions --- p.70 / Chapter 5.1 --- Data Description --- p.71 / Chapter 5.2 --- Experiment Procedures --- p.73 / Chapter 5.3 --- Modeling Methodology --- p.75 / Chapter 5.3.1 --- Classification Tree Modeling --- p.75 / Chapter 5.3.2 --- Bayesian Belief Network Modeling --- p.80 / Chapter 5.4 --- Experiment Results --- p.83 / Chapter 5.3.1 --- Classification Tree Results Using CART --- p.83 / Chapter 5.3.2 --- BBN Results Using Hugin --- p.86 / Chapter 5.5 --- Comparison and Discussion --- p.90 / Chapter 6 --- Conclusion --- p.92 / Chapter A --- Classification Tree Report of CART --- p.95 / Chapter B --- Publication List --- p.104 / Bibliography --- p.105