Dobrynin A.S., Koynov R.S., Kulakov S.M., Gudkov M.Y. —
On the domain (situational) identification of complex non-stationary technological objects
// Cybernetics and programming. – 2018. – ¹ 4.
– P. 52 - 59.
DOI: 10.25136/2644-5522.2018.4.26861
URL: https://en.e-notabene.ru/kp/article_26861.html
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Abstract: The subject of the research are approaches to the identification of structurally distributed and complex non-stationary technological objects of automated control. The object of study is a non-stationary automated control system. The authors consider in detail the approach of domain identification of objects of automated control based on key (control) points. Special attention is paid to the issues of determining the adequacy of the model for a non-stationary object of automated control. The proposed approach allows iteratively correcting (refining) the object model upon the occurrence of control points (significant changes in the parameters of a multifactorial environment). The main methods of research were used elements of system analysis, natural-mathematical modeling. Additionally, known identification methods were used, incl. using test influences and conversion math models. The main conclusion of the study is the statement that a complex non-stationary technological object cannot be adequately described by a single mathematical model, therefore the identification of such an object must be done several times. The novelty of the research lies in the use of new elements of the domain identification of non-stationary technological objects at the control points, which allows adapting the control to the conditions for changing the multi-factor environment.
Dobrynin A.S., Koynov R.S., Kulakov S.M., Purgina M.V. —
On the practical application of flexible mechanisms of software development
// Software systems and computational methods. – 2018. – ¹ 3.
– P. 45 - 53.
DOI: 10.7256/2454-0714.2018.3.26877
URL: https://en.e-notabene.ru/itmag/article_26877.html
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Abstract: The subject of the study are life cycle models and approaches to software development in the face of significant time and financial constraints. A software development workflow is considered using a flexible methodology and an iterative life-cycle model. The objects of research are modern approaches to the development of software and increasing the efficiency of labor through the proposed incentive mechanisms, based on customer requirements. The authors also pay attention to the organization of labor in software development. We used the methods of system analysis, approaches to collective decision-making under uncertainty, including survey methods and expert assessments. The authors propose an incentive mechanism for software developers working in an iterative model of an incomplete life cycle. An important result of the study is the conclusion about the effectiveness of the incentive approach, based on the implemented functionality in the current iteration of the development. The presented approach allows an objective assessment of the contribution of each developer to the solution of individual project tasks.