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Title

Customizing AOSE methodologies by reusing AOSE features

Author(s)

Juan, Thomas;  Sterling, Leon;  Martelli, Maurizio;  Mascardi, Viviana

Abstract

Future large-scale software development projects will require engineering support for a diverse range of software quality attributes, such as privacy and openness. It is not feasible to create one monolithic methodology to support all possible quality attributes. Instead, we expect AOSE methodologies to be created and reused in a modular way. A modular approach enables developers to build custom project-specific methodologies from AOSE features in the same way applications are built from reusable off-the-shelf components. In this paper, we provide a conceptual framework for creating and reusing modular methodologies. This conceptual framework is based on the concept of an AOSE feature, which performs one or more development activities, such as analysis, and addresses one or more quality attributes, such as privacy. An AOSE feature encapsulates software engineering techniques, models, supporting CASE tools and development knowledge such as design patterns. We illustrate the applicability of our approach by modularizing four existing methodologies, Prometheus, ROADMAP, CaseLP and the conventional OO approach, into AOSE features.

Publication type

Conference paper

Source

Proceedings of the Second International Conference on Autonomous Agents and Multiagent Systems (AAMAS '03), Melbourne, Australia, 14-18 July 2003 / J. S. Rosenschein, T. Sandholm, M. Wooldridge, and M. Yakoo (eds.), Vol. 2, pp. 113-120

Publication year

2003

Keyword(s)

Agent Oriented Software Engineering;  AOSE;  Artificial intelligence;  Computer aided software engineering;  Computer science;  Computer simulation;  Knowledge engineering;  Network protocols;  Optimisation;  Software agents;  Software engineering

Publisher

ACM

ISBN

1581136838

Publisher URL

http://doi.acm.org/10.1145/860575.860594

Copyright

Copyright © 2003 ACM. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of AAMAS, 2003. http://doi.acm.org/10.1145/860575.860594.

Full text

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