Entity Life Cycle Models and their Applicability to Information Systems Development Life Cycles: A Framework for Information Systems Design and Implementation
Author(s) -
Celia Rosenquist
Publication year - 1982
Publication title -
the computer journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.319
H-Index - 64
eISSN - 1460-2067
pISSN - 0010-4620
DOI - 10.1093/comjnl/25.3.307
Subject(s) - computer science , documentation , information system , software engineering , notation , process (computing) , frame (networking) , systems development life cycle , set (abstract data type) , information model , system lifecycle , systems engineering , software development process , programming language , software development , software , engineering , telecommunications , arithmetic , mathematics , application lifecycle management , electrical engineering
This paper presents a set of tools for analysis, design and implementation of information systems. The tools presented have all been proven practically during several major international information systems development projects. The tools include a set of meta languages or documentation conventions which have been designed for maximal ease of use and understanding. The documentation notations are related to a common reference frame and to the usage of a systems encyclopaedia. The main emphasis of the paper is an attempt to illustrate the application of finite machine theory to the description of entity lifecycles in an information system environment. A method is provided for extending the finite state machine model from the systems analysis stage through systems design to the final implementation of an event driven information system. The main objective of the paper is to prove the applicability of computer science to the early stages of information systems development projects, where the advantages and the impact of such tools matters most. It is hoped that this will aid the process of eliminating the 'L'art pour Tart' which is too often attached to computer science.
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