FUNCTIONAL DIAGRAM AND APPLICATION LOGIC OF THE QUALITY PLANNING MODULE FOR ESTIMATES OF STOCHASTIC PARAMETERS OF THE INFORMATION SYSTEM OF TESTING SUPPORT

Abstract

The important operations while testing weapons and military equipment samples are the calculation of quantitative plans for measuring stochastic quantities. A feature of weapons and military equipment testing is the desire to ensure the estimation maximum quality of the stochastic parameters of the tested sample with significant limitations in the possibility of conducting a full series of experiments due to a number of reasons. As a result, there is a need to assess the quality and reliability of the obtained test results. In addition, the calculation of quantitative test plans for a fairly large number of stochastic parameters can take quite a lot of time and distract researchers from other important tasks. Automation of the calculating processes of the number of experiments repetitions and determining the quality of the received estimates of stochastic parameters is aimed at minimizing time losses and possible errors.
 The article considers the issue of creating a module for planning the quality of stochastic value estimates. It is expected to be implemented as a part of the information system for supporting weapons and military equipment tests. In order to form a functional scheme, the cases of the need to calculate the number of repetitions of the experiment when measuring stochastic quantities and the cases of the need to form indicators of the quality of the stochastic quantity assessment were formalized. The information links of the assessment quality planning module with the components of the conceptual model of the test support information system have been defined and specified. The algorithm for the functioning of the stochastic value estimation quality planning module is proposed, which is aimed at maximum automation of computing operations and minimal operator intervention both in determining the number of experiments when measuring the stochastic parameters of a sample, and when setting the quality parameters of stochastic value estimation.
 It is assumed that the implementation of the quality planning module as part of the test support information system will significantly reduce the time spent on calculation operations, will provide support for the production process of test engineers for test planning and evaluation of the obtained results, will significantly simplify communications at the stages of approval and correction of test methods, drawing up the program tests, formation of a test plan, and also creates an opportunity to shorten a series of tests under certain conditions.