Methodological foundation for improving the quality of intelligent decision-making system software

Abstract

On the basis of a detailed analysis, existing terminological interpretations of the concept of "software quality" have been generalized, conclusions are drawn about the correspondence of the terms used to assess the quality of general software in the process of assessing the quality of software of intelligent decision-making systems (IDMS). It has been proved that the quality of the IDMS software is a complex multi-criteria indicator that takes into account not only the performance of the individual software module as a subsystem, but also the causal relationships of the elements of the software system itself. The main differences in software quality assessment between the functional and formal approaches are shown. The structure of the criterion of guarantor capacity of decision-making systems software has been investigated and conclusions have been drawn on the influence of its main components on the evaluation of IDMS software and on the provision of reliable computing process. On the basis of the analysis of the list of attributes and the quality metric of the IDMS software, it is established that the guarantee is determined by the reliability of the software structure itself and is characterised by the restoration of the functional state after failures or failures. The interrelationship and influence of IDMS software design quality indicators on the characteristics and sub-characteristics of the IDMS software is established, an example of the interrelationship between characteristics (factors) and quality indicators, the method of measuring quality indicators and design processes is given. On the basis of the conducted research, IDMS software denial regimes have been defined and their impact on the decision-making process has been shown. Detailed classes of failures and their influence on compliance of IDMS software with the task of development are shown. It has been shown that the reliability of IDMS is a dynamic concept, manifested in time, and is strongly dependent on the presence / absence of defects in the interaction. A detailed analysis of methods of software quality assurance and control has been carried out, and conclusions have been drawn on the possibility of their application IDMS software. The maturity model of the IDMS software has been improved and validated, and the maturity structure of the software as an indicator of the quality of the IDMS has been introduced.

Keywords

• automated control systems, decision support, intelligent system software, knowledge base, intelligent decision-making system.