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MASSIVE USER ENABLED EVOLVING WEB SYSTEMS
by
Qingfeng Anna Li
________________________________________________________________________
A Dissertation Presented to the
FACULTY OF THE GRADUATE SCHOOL
UNIVERSITY OF SOUTHERN CALIFORNIA
In Partial Fulfillment of the
Requirements for the Degree
DOCTOR OF PHILOSOPHY
(COMPUTER SCIENCE)
August 2008
Copyright 2008 Qingfeng Anna Li
Object Description
| Title | Massive user enabled evolving web system |
| Author | Li, Qingfeng Anna |
| Author email | qingfenl@usc.edu |
| Degree | Doctor of Philosophy |
| Document type | Dissertation |
| Degree program | Computer Science |
| School | Viterbi School of Engineering |
| Date defended/completed | 2008-05-22 |
| Date submitted | 2008 |
| Restricted until | Unrestricted |
| Date published | 2008-07-02 |
| Advisor (committee chair) | Lu, Stephen C.-Y. |
| Advisor (committee member) |
Boehm, Barry Jin, Yan |
| Abstract | User-Generated Content Websites[1], or "social media" Websites[2], such as YouTube[3] or Flickr[4], have gained tremendous success for their ability to use user-generated meta-content to further their user experience. However, current UGC developments resemble the ad-hoc Web developments of the 1990s and Software developments of the 1960s[5]. Past history has shown what these approaches can lead to, and there are already failed UGC developments caused by these uninformed approaches. In this thesis, the research will be geared towards finding a theoretical framework that target the unique behavior of UGCs, and discovering means to remedy their problems and complexities.; The ad-hoc approaches to UGC developments are caused by a lack of fundamental understanding these systems' behaviors. This work will illustrate that these UGCs are Massive User Enabled Evolving Web Systems (MUEEWS), where user-generated meta-content are used to evolve system functionalities. By making users a key stakeholder in enabling its functionalities, MUEEWS creates an evolution that occurs during the usage phase of the software. Current Software and Web Engineering models do not explain the effects of this phenomenon[6], and current UGC research target specific applications that are difficult to apply extensively. Since the evolutions of the functionalities are dependent on the contributions of very large group, MUEEWScontains a number of collective action issues that can create system failures.; The lack of fundamental understanding creates many complexities for MUEEWS in both the development and usage phase. Therefore, for the improvement of future MUEEWS developments, this work will provide a theoretical framework to guide its development and manage its complexities. The theoretical framework is evaluated using functional complexity analysis and validated through simulations and test scenarios. The findings illustrate that the application of the theoretical framework can greatly reduce the probability of system failure in MUEEWS and can improve its meta-content and system functionality performances. This thesis focuses on the users' contributions, and how to leverage those contributions to improve system functionality. Since the current field of UGC is not focused on theoretical or system approaches of MUEEWS, this research topic can be used to make various important contributions to the field of UGC. |
| Keyword | collaborative tagging |
| Language | English |
| Part of collection | University of Southern California dissertations and theses |
| Publisher (of the original version) | University of Southern California |
| Place of publication (of the original version) | Los Angeles, California |
| Publisher (of the digital version) | University of Southern California. Libraries |
| Type | texts |
| Legacy record ID | usctheses-m1316 |
| Rights | Li, Qingfeng Anna |
| Repository name | Libraries, University of Southern California |
| Repository address | Los Angeles, California |
| Repository email | http://www.usc.edu/isd/libraries/services/ask_a_librarian/email/ |
| Filename | etd-Li-20080702 |
| Archival file | uscthesesreloadpub_Volume29/etd-Li-20080702.pdf |
Description
| Title | Page 1 |
| Full text | MASSIVE USER ENABLED EVOLVING WEB SYSTEMS by Qingfeng Anna Li ________________________________________________________________________ A Dissertation Presented to the FACULTY OF THE GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Fulfillment of the Requirements for the Degree DOCTOR OF PHILOSOPHY (COMPUTER SCIENCE) August 2008 Copyright 2008 Qingfeng Anna Li |
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