REQUIREMENTS ENGINEERING FOR ORGANISATIONAL MODELLING

Simon Tan

2004

Abstract

This paper explores a semiotic perspective to information systems engineering, using organisational modelling techniques rooted in organisational semiotics. The components and relationships of large corporations are highly complex, volatile and unstructured. Semiotic modelling techniques are therefore introduced to address these challenges posed by large enterprises. MEASUR, a suite of methods based on organisational semiotics, are used to address the IT and organisational requirements, needed to encapsulate behavioural patterns and to formalise the convoluted relationships. A case study illustrating the applicability of MEASUR is presented, to evaluate a crime reporting system from the Police Information Technology Organisation (PITO) in UK, and to examine its application and significance in the modelling of organisations. We focus on two key fundamental issues. Firstly we investigate the agent behaviour within the organisation. Secondly, we analyse the semantics of the relationships between these patterns of behaviour in building a normative model of a large organisation.

Paper Citation

in Harvard Style

Tan S. and Liu K. (2004). REQUIREMENTS ENGINEERING FOR ORGANISATIONAL MODELLING . In Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 3: ICEIS, ISBN 972-8865-00-7, pages 383-388. DOI: 10.5220/0002653003830388

in Bibtex Style

@conference{iceis04,
author={Simon Tan and Kecheng Liu},
title={REQUIREMENTS ENGINEERING FOR ORGANISATIONAL MODELLING},
booktitle={Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 3: ICEIS,},
year={2004},
pages={383-388},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002653003830388},
isbn={972-8865-00-7},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 3: ICEIS,
TI - REQUIREMENTS ENGINEERING FOR ORGANISATIONAL MODELLING
SN - 972-8865-00-7
AU - Tan S.
AU - Liu K.
PY - 2004
SP - 383
EP - 388
DO - 10.5220/0002653003830388