Method for estimating the reliability index of automated system software for aircraft control data preparation
Authors: Andreev A.G., Kazakov G.V., Koryanov V.V.
Published in issue: #6(78)/2018
DOI: 10.18698/2308-6033-2018-6-1771
Category: Aviation and Rocket-Space Engineering | Chapter: Aircraft Dynamics, Ballistics, Motion Control
The most complicated component of automated system for aircraft control data preparation is software. The likely reason for the interruption of the data preparation process is the presence of errors in the software, which may take a long time to resolve.Early elimination of these errors is an extremely important task. The degree of error elimination is determined by the value of the reliability index. The problem of assessment of the software reliability index is up to date, since there is no generally accepted technique for estimating this indicator. Based on the results of the analysis of existing software reliability models, it is shown that none of them can be used to estimate the software reliability index of an automated data preparation system. The proof of the correctness of using the methods of probability theory for the estimation of the indicator under consideration is presented. The theorem about a bijection (one-to-one correspondence) between the set of variants of input data and the set computational trajectories is proved. The possibility of applying the method of probability theory in the geometric interpretation of the probability of occurrence of an event (error) for estimating the software reliability index follows from the theorem. The use of this method is correct, but it requires infinite time resources, which makes it unsuitable for practical application. A fundamentally different method for estimating the software reliability index is proposed. Using this method it is necessary to have a documentary evidence of the coverage level by test variants of the entire input data area from the permissible region. The advantage of the proposed method is that it does not require any assumptions, and the initial data for estimating the software reliability index have a clear physical meaning and can be obtained in practice
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