Vavilov I. Improving models of processes of measuring and evaluating the quality of business information systems based on ISO 25000 standards.

Українська версія

Thesis for the degree of Candidate of Sciences (CSc)

State registration number

0416U001408

Applicant for

Specialization

  • 05.01.02 - Стандартизація, сертифікація та метрологічне забезпечення

26-02-2016

Specialized Academic Board

Д 41.113.01

ODESSA STATE ACADEMY OF TECHNICAL REGULATION AND QUALITY

Essay

In this thesis devoted to scientific problem solving to develop a comprehensive method for assessing the quality of the enterprise information system based on genetic coding and clustering quality properties. Solution of the problem allows to complement existing methods of assessing the quality of 24 hardware and software, to combine them within the existing standards and update them, expanding the theoretical and practical limits of general principles of assessing the quality of the information system. In the process, we have been resolved following main objectives: 1) gives an overview and analysis of advanced systems and quality assurance standards of information systems; 2) Set the basic principle of quality assessment based on existing concepts and standards; 3) the analysis of the network OSI-model in order to select a basis for assessing the quality of information systems from the point of view of measurement; 4) A model quality information system and to develop methods for determining the quality and method of measurement; 5) developed an integrated method of gene coding and clustering properties of the quality of the enterprise information system based on the definition of tree multiple quality properties, the model construction and model construction of wood quality measurements; 6) developed a model of the processes of measuring and assessing the quality of business information systems. To develop an integrated method of gene coding and clustering properties of the quality of the information system used by multiple quality properties of certain trees, model construction and model construction of wood quality measurements. They are based on the method of binary encoding successive genome phylogenetic tree model properties quality system; model and binary method of clustering, which is based on the exclusion of incidental encoding phylogenetic tree; method of discrete intervals, which is based on a comparison of binary degree of membership and methods of measuring the measurement task. It provided an opportunity to: define the relationship characteristics and properties of the quality of purposeful evolutionary process; automatically build properties tree, whose roots can be any of the quality characteristics; automate the selection of appropriate methods and means for the implementation of the measurement process. A model of the process of measuring and assessing the quality of business information systems. The basis of the model tree building process of measuring the quality of property values and the principles of coding basics of phylogenetic analysis. This provided an opportunity to present the measurement process in the form of automatically generated tree internal structure of the relevant quality properties. Receive technology improvements metrological maintenance of enterprise information system based on the series of standards ISO 25000. The technology has provided the possibility of practical use of modern regulatory framework for the development of principles and methods of information security, information and financial and economic security of enterprises and organizations in the sphere of economy, business and finance, as well as other spheres of human activity, where appropriate use of information systems in enterprises of various kinds. The developed a comprehensive model of the processes of measuring and assessing the quality of business information systems. The basis of the model of the gene encoding the principles and the basis of phylogenetic analysis. This made it possible to introduce quality assessment process, in the form of automatically generated tree internal structure of the relevant quality properties.

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