To translate this post, click on the title to open it and then click on your flag in the right menu.

To translate this post click on your flag in the right menu.

Quality assurance is a characteristic that systems have, whether they include human action or not, to provide the accurate result to the point of being substituted by alternative systems in case of failure.
Nothing is absolutely certain by definition within the scope of science. When we refer to certainty we mean that there are at least three alternative plans in case of failure and that alternative processes have been designed to have a probability of failure of less than 0,01.
In order to assure this level of certainty it is necessary to count on a verification process in real conditions that ensure the result or output.

Concept
The Quality Assurance concept implies that in the activity, which must bring about an added value, there is a Redundant Functionality and a Self-exclusion System within a framework of a Redundant Operative Method.
In order for knowledge to be certain, the basis for the use to produce elements, it is necessary to have been ‘redundant” from different objective perspectives, be clear as to the scope of such knowledge (think and say “I don’t know” is to have a self-exclusion system that promotes certainty of what one knows), and count on a method that permits reaching a certain knowledge as of different points of view.
Quality assurance is of vital importance in the life sciences fields. In those fields in which the lack of quality is not a life or death, success or failure determinant, the possibility of conceiving a Quality Assurance process turns distant.
There is only quality assurance in those cultures and activities in which there is the attitude that things should be functionally right and certain as far as the value they add.

Access more information at: http://www.unicist.org/deb_odd.php

The Editor

To translate this post click on your flag in the right menu.

The history of the “Unicist Extreme Design” taxonomical research began in the early eighties.  A unicist ontological design of a given reality requires the knowledge of the involved concepts. Therefore, the discovery of conceptual structures precedes the design activity.

It took many years to research the conceptual structures of most of the objects related to human activity. Now, with the available conceptual knowledge bank, the design of complex solutions has been made possible without needing to research while designing.

The major problems of human designs are their incompatibility with the nature of the objects being designed.

When designing solutions, there is usually insufficient time to research the concepts involved. To solve this problem, the operational function of the object is usually considered as representative of its concept. This solution is very practical but insufficient when designing differentiated objects.

The knowledge of concepts is unnecessary when designing objects ruled by common sense (conventional wisdom).

This technology was named Unicist XD – Extreme Design – because of its homologous relation with the XP – Extreme Programming – technology.
The Unicist XD technology

The use of the Unicist XD methodology sustains the simplicity and reliability of design processes. The design process can be accelerated by the use of the Unicist XD. It was developed to approach complexity and the solution of problems in an uncertain or risky environment.

Unicist XD is essentially analogous to Extreme Programming. It can be considered as one of the existing concept-driven design methodologies.
It helps to catalyze the functionality of matrix organizations.

The Unicist XD methodology has been used since 1981. It was basically applied to the development of business objects.

Diego Belohlavek

To translate this post click on your flag in the right menu.

Fundamental analysis is the core of conceptual IT design. Fundamental analysis is the approach that defines the limits of the possibilities of the evolution of a given reality. Fundamentals define the boundaries implicit in the functionality of that given reality.
Although adaptive systems and complex systems have open boundaries, they can only be managed when limits have been defined.
Defining limits based on the fundamentals of a given reality implies dealing with its nature and accepting its evolution laws. In the short or the long run the evolution of a given reality will drive towards its nature.
Fundamental analysis provides the tools to describe the nature of a reality in order to forecast its evolution. Evolution can be inhibited and catalyzed by human ac-tions; but it cannot be changed.

The Editor