Information systems
development: a rule-based
approach
F Van Assche*, P Layzellt, P Loucopoulost and G Speltincx*
This paper seeks to demonstrate an approach to software
engineering for information systems that will lead not only
to good information system creation, but will also expli-
citly maintain the representation of the business knowledge
so as to allow for more effective system evolution and
its active exploitation at run time. A rule-based develop-
ment environment, known as RUBRIC, is described, which
serves as the means of achieving these objectives.
Keywords: software engineering, software tools, informa-
tion systems, programming environment, RUBRIC
The growing complexity of information systems, and the
ensuing problems of software engineering, have high-
lighted the inadequacy of the informal way of construct-
ing such systems. These problems manifest themselves
in computer systems which are often unmanageable,
unreliable, inflexible, and hence difficult to maintain ~-3.
The response to these problems has been the
emergence of a number of system development methods,
each of which seeks to provide a coherent development
path by providing a mechanism through which the
desired aspects of a system can be modelled, an underly-
ing philosophy and approach by which models can be
developed, and a set of development steps by which
resources can be organized and allocated. Furthermore,
many methods now have associated computer-based
tools, aimed at improving productivity, e.g. Information
Engineering 4, JSD s, NIAM 6, SADT 7, SASD s and
STRADIS 9.
One major shortcoming of these methods is that the
modelling of the real-world is achieved only in informa-
tion systems terms, i.e. processes and data, rather than
in terms more appropriate to the problem space environ-
ment. The result is that, whereas end users perceive and
often define a business system in terms of policies or
rules and exceptions applying to these rules, such a view
*James Martin Associates, Rue de Geneve 10, Evere, 1140, Belgium
tDepartment of Computation, University of Manchester Institute of
Science and Technology, PO Box 88, Manchester, UK.
is not directly visible in the derived system specification,
using contemporary methods.
An information system is directly related to the
business system within which it operates, and is thus
a manifestation of some business requirements for opera-
tional control and the support of decision making.
Current approaches, by concentrating solely on the in-
formation system aspects, fail to represent the effects
of the business environment on the information system
itself, i.e. the rules which govern the behaviour of an
information system (the business rules) are not explicitly
represented (if represented at all), but instead are hard-
coded into program sources.
This low level representation of business rules results
in computer systems which are difficult to maintain,
as maintenance staff, who receive requirement changes
in terms of the business environment, must first translate
the requirement into the same terms in which the infor-
mation system is described and represented. This there-
fore provides a wide scope for poor translation and
misunderstanding, leading to systems which fail to meet
their requirements' o.
Hence, a new paradigm is required. This paradigm
states that development of an information system should
be viewed as the task of developing or augmenting an
organization's knowledge base 11-~ a.
In order to realize this, an integration of database
technology and techniques in the domain of knowledge
representation is employed. The integration is based on
concepts derived from the theory on deductive
databases, object-oriented databases, usage of rules,
semantic networks and frames for modelling information
systems. Existing and proven techniques, applied in
software engineering, offer a reference framework to
achieve this integration.
The paradigm that emerged from this allows them
to model the knowledge on the organization explicitly
as the basis for the development of information systems.
In particular, the need for explicit policy to be identify-
able throughout the development of a system, and to
remain distinct from the procedures and elementary data
operations necessary to implement the policy, is being
recognized.
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Vol 1 No 4 September 1988 227