Authors:
Thayse Alencar
1
;
Mariela Cortés
1
;
Nécio Veras
2
and
Lui Magno
1
Affiliations:
1
State University of Ceará, Brazil
;
2
Federal Institute of Education and Science and Technology of Ceará, Brazil
Keyword(s):
Software Project Management, Risk Management, Multi-agent Systems, MAS, Metrics.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Distributed and Mobile Software Systems
;
Enterprise Information Systems
;
Group Decision Support Systems
;
Intelligent Agents
;
Internet Technology
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Multi-Agent Systems
;
Software Engineering
;
Strategic Decision Support Systems
;
Symbolic Systems
;
Web Information Systems and Technologies
Abstract:
Software project management is a complex and demanding task full of threats or negative risks that lead to the delay or the failure of the project. Risks stem from many different internal sources as well as external ones in the company and the project. In addition, these events can originate in any phase of the project life cycle, and thereby increase the complexity of the decisions for the project manager. Aiming to reduce the negative consequences caused by these events, we propose an approach that extends a multi-agent system to provide support for risk management in software projects by using metrics and contingency reserves. The approach is evaluated with a feasibility study demonstrating that agent-oriented approaches are promising solutions that support risk management processes.