The techniques of assessment of quality of university data processing systems

The article presents the method "Inspector" to be adapted for assessment of the levels of quality of data processing systems in universities. Included into the methodology fuzzy cognitive models of determining the required, estimating the current and "forecasted" levels of quality of data processing systems, as well as corresponding algorithms allow evaluating the system at the design stage and operation stage on the basis of expert information. Using the complex criterion of quality assessment makes it possible to increase the informativeness of the assessment, which, in turn, increases the efficiency of quality of data processing systems. Adapting methodology to the peculiarities of functioning of universities includes defining the main functions of the evaluated data processing systems; defining the elements of the sets of concepts of fuzzy cognitive models used in the methodology; verifying the existence of links between concepts of fuzzy cognitive models; filling the knowledge base necessary to assess the current level of information security of the data processing system. The methodology was approved in one of the leading higher educational institutions of the Volga region for assessment of the data processing system "Deccan". To adapt the methodology and directly assess the quality and information security of the data processing system, an expert commission was assembled, consisting of IT staff of the university, professors of profile departments of the university, employees of the dean's office. The work of the commission was organized through meetings. Discussion of each issue lasted until the experts made an agreed decision. According to the data obtained after application of the methodology, there were taken measures to elevate quality of the Deccan system to the level "above average". Approbation of the method "Inspector" showed its applicability for assessing the quality of data processing systems of universities.