On the evaluation of agent-oriented software engineering methodologies: a statistical approach

  • Authors:

  • Abdel-Halim Hafez Elamy;Behrouz Far

  • Affiliations:

  • Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada;Department of Electrical and Computer Engineering, University of Calgary, Calgary, Alberta, Canada

  • Venue:
  • AOIS'06 Proceedings of the 8th international Bi conference on Agent-oriented information systems IV
  • Year:
  • 2006

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Abstract

Agent-based computing is one of the fastest growing areas of research and development in information technology. A large number of Agent-Oriented Software Engineering (AOSE) methodologies have been evolved in order to assist in building intelligent software. Nevertheless, the immaturity of this emerging technology can result in difficulties for a developer when deciding which methodology can best fit a prospective application. A limited number of studies have been conducted to address the comparison and evaluation of AOSE methodologies. However, such studies lack a reliable framework that can be implemented and generalized effectively; most of the proposed approaches are not capable of providing sufficient knowledge to support accurate decision-making. In this paper, we present a reliable framework based on adopting state-of-the-art statistical procedures to evaluate AOSE methodologies and come up with a set of metrics that can help in selecting the most appropriate methodology, or assembling more than one, to accommodate the anticipated features.