SPEM on Test: the  SODA Case Study


pagemagnifierBibTeX_logo.pngmagnifierpage_white_acrobatmagnifier

Elena Nardini, Ambra Molesini, Andrea Omicini, Enrico Denti

Roger L. Wainwright, Hisham M. Haddad, Ronaldo Menezes, Mirko Viroli (a cura di)
“23th ACM Symposium on Applied Computing (SAC 2008)”, pp. 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

Pubblicazione

— autori/autrici

— a cura di

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

— stato

pubblicato

— tipo

articolo in atti

— data di pubblicazione

16-20 March 2008

— volume

23th ACM Symposium on Applied Computing (SAC 2008)

— volume

1

— pagine

700-706

— dove

SAC'98

— indirizzo

Fortaleza, Ceara, Brazil

URL

pagina originale

identificatori

— 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

note

— nota

Special Track on Software Engineering

Partita IVA: 01131710376 — Copyright © 2008–2023 APICe@DISI – PRIVACY