Impact Factor: ISRA (India) = 4.971 ISI (Dubai, UAE) = 0.829 GIF (Australia) = 0.564 JIF = 1.500 SIS (USA) = 0.912 РИНЦ (Russia) = 0.126 ESJI (KZ) = 8.997 SJIF (Morocco) = 5.667 ICV (Poland) = 6.630 PIF (India) = 1.940 IBI (India) = 4.260 OAJI (USA) = 0.350 Philadelphia, USA 390
The severity of these problems can be
significantly reduced through the use of modern
structural methods, among which structural analysis
methodologies are central.
3. PRINCIPLES OF STRUCTURAL ANALYSIS It is customary to call a structural analysis a
method for studying a system, which begins with its
general overview and then details it, acquiring a
hierarchical structure with an increasing number of
levels. All structural analysis methodologies are based
on some general principles and guidelines.
The following two basic principles are used: the
principle of "divide and conquer" and the principle of
hierarchical ordering. The first principle means
breaking complex and time consuming tasks into
many smaller independent subproblems. The second
declares the organization of parts of the system into
tree-like hierarchical structures, i.e. the system can be
understood and built in levels, each of which adds new
details.
In addition to two basic principles, there are a
number of others, no less important. Some of them
are: the principle of abstraction, formalization,
conceptual generality, consistency, etc.
DATA-FOCUSED
STRUCTURAL
ANALYSIS METHODOLOGIES
There are many methodologies for structural
analysis designed to solve specific problems. Since we
are interested in information systems development,
we will only consider data-driven methodologies. The
development of an enterprise-wide information
system is a rather laborious and lengthy process. The
combination of these two factors - the laboriousness
of the development process and the information
content (data orientation) of the software being
developed - most often determines the choice of one
of the existing DBMS as a development tool and
method of presenting information.