Open AccessAnalysis of Assessing the Reliability Quality of the Software Product Based on the Graphs Theory and Markov Chains
Author(s) -
E. Ormonova
Publication year - 2020
Publication title -
bûlletenʹ nauki i praktiki
Language(s) - English
Resource type - Journals
ISSN - 2414-2948
DOI - 10.33619/2414-2948/53/01
Subject(s) - software quality , computer science , markov chain , graph theory , software , graph , markov model , examples of markov chains , reliability theory , probabilistic logic , theoretical computer science , product (mathematics) , markov process , markov property , mathematics , software development , machine learning , programming language , artificial intelligence , statistics , geometry , combinatorics , failure rate
In this paper, we use graph theory and Markov chain methods to determine the quality of a software product based on a mathematical model. Since modern programming, developing a data structure and creating a mathematical model of a software product, we cannot do without graph theory. As an object of research, the PascalABC programming language is used. We have created a mathematical model of a software product using graph theory. The principles of software quality assessment by methods of graph theory, as well as Markov chains, are developed. Models of probabilistic assessment of the quality of computer programs using the Kolmogorov equations, based on graph theory.