The Architecture Tradeoff Analysis Method (ATAM) is an architecture evaluation technique currently evolving at the Software Engineering Institute (SEI). ATAM has been applied to a number of command and control, real-time, and information systems. As collaborative, autonomous agents become a significant software technology, the demand for evaluating the quality attributes of the architectures of agent-based systems will increase. Very broadly, agents may be thought of as software entities that have the ability to undertake action autonomously in their particular embedded environment, according to a typically general set of requests or desired goals, and that are able to communicate with other agents as determined by their own initiative. Given an agent-system architecture, we need scenarios that could be applicable for conducting ATAM evaluations on instances of that agent architecture. This report identifies a few features in agent-based systems that could be used to classify agent-system architectures and to guide the generation of scenarios applicable to these architectures.
This report is related to the following area(s) of work:
Software ArchitectureTechnical Report
CMU/SEI-99-TR-025
October 1999
SEI:
Woods, Steve; & Barbacci, Mario. Architectural Evaluation of Collaborative Agent-Based Systems (CMU/SEI-99-TR-025). Software Engineering Institute, Carnegie Mellon University, 1999. http://www.sei.cmu.edu/library/abstracts/reports/99tr025.cfm
IEEE:
S. Woods, and M. Barbacci, "Architectural Evaluation of Collaborative Agent-Based Systems," Software Engineering Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, Technical Report CMU/SEI-99-TR-025, 1999. http://www.sei.cmu.edu/library/abstracts/reports/99tr025.cfm
APA:
Woods, S., & Barbacci, M. (1999). Architectural Evaluation of Collaborative Agent-Based Systems (CMU/SEI-99-TR-025). Retrieved May 23, 2013, from the Software Engineering Institute, Carnegie Mellon University website: http://www.sei.cmu.edu/library/abstracts/reports/99tr025.cfm
CHI:
Woods, Steve, and Mario Barbacci. Architectural Evaluation of Collaborative Agent-Based Systems (CMU/SEI-99-TR-025). Pittsburgh, PA: Software Engineering Institute, Carnegie Mellon University, 1999. http://www.sei.cmu.edu/library/abstracts/reports/99tr025.cfm
MLA:
Woods, S., & Barbacci, M. 1999. Architectural Evaluation of Collaborative Agent-Based Systems (Technical Report CMU/SEI-99-TR-025). Pittsburgh: Software Engineering Institute, Carnegie Mellon University. http://www.sei.cmu.edu/library/abstracts/reports/99tr025.cfm
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