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In the practical implementation of projects for the development of software and hardware complexes for managing unmanned aerial vehicle groupings within the SCRUM technological system, not only issues of a systematic and logical determination of the architectural and technological aspects of the quality of the hardware platform and software being developed are important, but also the effective development of specific recommendations on quality improvement measures in the current process conditions. The method of developing recommendations on ensuring the quality of the isolated components of the software and hardware complexes for controlling the groupings of unmanned aerial vehicles, which in essence is the correct localization of the method of structuring the quality functions (Quality Function Deployment: QFD method) to the subject area of development and creation, is aimed precisely at ensuring the indicated efficiency hardware-software complexes, software within the framework of the SCRUM technological system.

The quality of higher education is the most important factor and condition for providing the national economy with highly qualified and competitive staff. As the employers’ requirements to specialists are constantly growing, the university has to train students by anticipating the competences which will be demanded in the future. This article reveals the specifics of designing a strategic planning system development programme for universities on the example of Saint Petersburg State University of Aerospace Instrumentation. The article justifies the significance of priorities and goals of the university for social and economic development of the region and the state. Additionally, it emphasizes the need to understand the global problems of our time for the effective functioning of the university

Regional innovation ecosystem – a set of institutions located in the territory, which determine the level of regional innovation development and its scientific, technical and industrial specialization. Elements of the innovation system are formed, mainly, evolutionarily, depending on the conditions for the development of the territory. The article makes a historical analysis of the factors that form the elements of the ecosystem at the regional level, making the main contribution to the overall potential of the Russian economy. The features of the development of innovative ecosystems of large cities, as well as specialized regional entities (technopolises, academic campuses, technology-innovative zones) are highlighted. Based on statistical data, it is shown that there is a relationship between the saturation of the innovation ecosystem with the main elements and the level of innovation activity in the region. The authors raise questions about the criteria that determine the specialization of regions in terms of innovation development, about the necessary level of sovereignty of ecosystems, and the mechanisms of interaction between regions.

The article considers the issues of evaluating the organizational effect of the intelligent decision support system functioning for the control of complex technical systems. An approach to the indicator formation of the organizational effect of the intelligent system functioning at the level of a technological control system is proposed. A diagram illustrating the proposed approach is presented. It combines, an organizational goal and objectives of introducing an intelligent system, its main functional capabilities, a system of factors that significantly affect the magnitude of a positive effect, a system of sources used to implement certain factors, qualitative assessment criteria potential positive effects from the implementation of the system, the system of indicators of the organizational effect and mathematical models and methods of their calculation by cause-and-effect relationships. A comparative evaluation method was applied to determine the organizational effect of the intelligent system functioning. It is based on the values comparison (difference) of the generalized indicators of the effect of the technological control system functioning with and without the intelligent system. In comparison with the existed methods, the proposed approach to evaluating the effectiveness of an intelligent decision support system is based on a hierarchical system of indicators characterizing the organization of the technological control system for complex technical systems. The obtained theoretical results can be applied in the development and implementation of information systems to evaluate the preliminary, potential, planned and actual effect and organizational efficiency.