SPEM on Test: the  SODA Case Study


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Elena Nardini, Ambra Molesini, Andrea Omicini, Enrico Denti

Roger L. Wainwright, Hisham M. Haddad, Ronaldo Menezes, Mirko Viroli (eds.)
“23th ACM Symposium on Applied Computing (SAC 2008)”, pages 700-706
ACM, Fortaleza, Ceara, Brazil
16-20 March 2008

In the Software Engineering (SE) research field, several efforts are underway aimed at developing appropriate meta-models for SE methodologies. Meta-models are meant to check and verify both the software development process and the completeness and expressiveness of methodologies.

In this context, in order to provide a uniform way to represent, compare and reuse methodologies, Software Process Engineering Meta-model (SPEM) — an OMG object-oriented standard — is a natural candidate. In order to put the SPEM meta-modelling power to test, and emphasise its benefits and limitations, in this paper we apply SPEM to a more articulated context than the object-oriented one where it was initially conceived — that is, Agent- Oriented Software Engineering (AOSE) methodologies. In particular, we take the SODA methodology as a significant case study in order to assess strengths and limitations of SPEM, given the peculiar SODA focus on the modelling and engineering of information social issues and (ii) application environment — essential aspects in the engineering of complex software systems.

(keywords) AOSE methodology, SODA, SPEM, agent-oriented software engineering, multiagent system

Special Track on Software Engineering

Publication

— authors

— editors

Roger L. Wainwright, Hisham M. Haddad, Ronaldo Menezes, Mirko Viroli

— status

published

— sort

paper in proceedings

— publication date

16-20 March 2008

— volume

23th ACM Symposium on Applied Computing (SAC 2008)

— volume

1

— pages

700-706

— venue

SAC'98

— address

Fortaleza, Ceara, Brazil

URLs

original page

identifiers

— DOI

10.1145/1363686.1363853

— ACM

1363853

— IRIS

11585/62494

— Scopus

2-s2.0-56749097328

— WoS / ISI

000268392200128

— print ISBN

978-1-59593-753-7

notes

— note

Special Track on Software Engineering

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