Abstract
The assessment of the "practicality" and "correctness" of special software of the automated military information systems is consider in the article. It’s shown that the information resource of the high-precision weapons must have a full set of software as active and passive protection against attacks on its information systems, and its active and passive influences on all existing and promising weapons systems. Among the problems associated with the creation of special software (SS) of the automated information military systems, there are two main ones: the problem of creating high-quality special software; the problem of rationalizing the efficiency of the participants of the SS life cycle. One of the promising areas of their solution is the implementation of the regulated technological process. The systematic approach is to reduce software errors by detecting and locating them in the timely manner, reducing the complexity of detecting and correcting them through clear and orderly structures and connections. A characteristic of the SS’s practicality is the studied, that is characterized by efforts required for users to master the conditions, procedures and rules of application of the software. They are described by the following indicators: the average time of development of the software product by service personnel, the completeness coefficient of the demo version, the completeness and flexibility coefficient of the help system. The characteristics of ease operation and correctness of SS is characterized by ease of preparation of input data and start-up of SS. The quantitative assessment is characterized by the following indicators: the coefficient of the degree of automation of data entry control, the coefficient of use of effective means of data entry. The estimating of the necessary intellectual effort to create a program is characterized by the number of necessary basic solutions when creating program code, but it doesn’t take into account debugging actions, so the authors propose to introduce a factor of real complexity, that is to estimate the cost of program perception. The given metrics allow to receive their numerical values on the basis of that it’s possible to compare programs on these quality characteristics.
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