Masters Theses

Abstract

"Decision making is an important aspect of the collaborative software development process which usually involves complex process of conflict resolution. Stakeholders approach decision making process from multiple perspectives and their priorities play a vital role in it. The priority assessment methods used in the argumentation process so far are usually static. Priorities remain constant throughout the decision making process. In order to make the collaborative system more closely replicate real-world scenarios, this work incorporates dynamic priority assessment into a web-based collaborative system which is based on intelligent computational argumentation. It evaluates priorities dynamically for each cycle of decision process based on contribution of individual participant. The contribution is assessed based on the impact of each participant's arguments on a winning design alternative. More successful participants have higher priorities in argumentations during collaboration. An empirical case study is conducted to evaluate effectiveness of dynamic priority assessment in improving quality of the argumentation based decision making"--Abstract, page iii.

Advisor(s)

Liu, Xiaoqing Frank

Committee Member(s)

Cheng, Maggie Xiaoyan
Leu, M. C. (Ming-Chuan)

Department(s)

Computer Science

Degree Name

M.S. in Computer Science

Publisher

Missouri University of Science and Technology

Publication Date

Fall 2010

Pagination

viii, 49 pages

Note about bibliography

Includes bibliographical references (page 21).

Rights

© 2010 Maithili Satyavolu, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Subject Headings

Computational intelligence
Fuzzy logic
Groupware (Computer software)

Thesis Number

T 9754

Print OCLC #

732081327

Electronic OCLC #

752171234

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