Using UML to build knowledge management and decision support tools: the case of dynamically allocating roles in software engineering teams

Dafoulas, George ORCID logoORCID: https://orcid.org/0000-0003-2638-8771, Pateli, Ada and Turega, Mike (2002) Using UML to build knowledge management and decision support tools: the case of dynamically allocating roles in software engineering teams. In: ISIICT 2002: International Symposium on Innovation in Information & Communication Technology. . [Conference or Workshop Item]

Abstract

The aim of this paper is to describe how the Unified Modelling Language (UML) is used to build knowledge management and decision support tools. This attempt is part of a research project being sponsored by British Telecommunications. This paper defines the process of dynamic role allocation, explains the need for monitoring this process in software engineering teams, and justifies its importance to industry. It also outlines the factors affecting the dynamic role allocation in software engineering teams, and identifies the requirements for a system supporting the overall process. Furthermore, it presents the key concepts and design issues that lead in following an Object Oriented approach and using UML, and it describes the implementation and evaluation of such a prototype. Finally it discusses the issues rising from using UML in this specific domain, and especially for modelling notions such as cultural differences, personality characteristics, and individual preferences.

Item Type: Conference or Workshop Item (Paper)
Research Areas: A. > School of Science and Technology > Computer Science
A. > School of Science and Technology > Computer Science > Intelligent Environments group
Item ID: 8773
Depositing User: George Dafoulas
Date Deposited: 18 May 2015 15:27
Last Modified: 27 Sep 2019 16:04
URI: https://eprints.mdx.ac.uk/id/eprint/8773

Actions (login required)

View Item View Item

Statistics

Activity Overview
6 month trend
0Downloads
6 month trend
403Hits

Additional statistics are available via IRStats2.