Реєстраційний номер
2124U014471, Матеріали видань та локальних репозитаріїв
Категорія
Тези
Назва роботи
Modeling and Optimization of Software Reliability using Fuzzy-Algorithmic Approach
Автор
Rakytyanska H. B.
Prus B. V.
Ракитянська Г. Б.
Прус Б. В.
Дата публікації
05-12-2024
Постачальник інформації
Вінницький національний технічний університет
Першоджерело
https://ir.lib.vntu.edu.ua//handle/123456789/43694
Видання
University of Žilina
Опис
An approach to software reliability modeling and optimization based
on the algebra of processes and fuzzy logic is proposed. The software development
events related to the introduction, detection and removal of errors is modeled using
logical-algorithmic structures "work - control - correction", which correspond to the
processes of development, testing and debugging. The logical-algorithmic model
corresponds to the fuzzy knowledge base, which connects correctness levels of the
working, testing and debugging stages with the decision classes interpreted as
correct or incorrect execution of the task. To provide the best quality product within
a limited time (cost), improving substitutions are embedded into the logicalalgorithmic model. Improving substitutions aimed at selecting patterns of the
development stages determine the structure and parameters of the software
reliability model. Controllable variables associated with improving substitutions are
interpreted as identifiers of implementation options of the development stages. Each
variant is a logical algorithmic structure with controllable variables related to the
quality of execution of the working, control and correction operations. Then the
optimization problem arises, which is formulated in a direct and dual statement. It is
necessary to find the implementation options, as well as controllable variables
related to the quality of execution of logic-algorithmic structures, which ensure the
constrained or extreme levels of software reliability and development time. A method
of software reliability optimization based on multi-criteria analysis of variants is
proposed. Software faultlessness criteria are considered as fuzzy sets defined on a
universal set of variants using membership functions. For each stage, membership
functions of fuzzy reliability estimates are constructed by means of a pairwise
comparison of variants using the Saaty scale. Ranking of implementation options is
carried out by intersecting fuzzy sets of criteria corresponding to the Bellman-Zadeh
scheme. The ranks of the criteria which define the parameters of concentration of
fuzzy sets correspond to the quality indicators of working, checking and correction
operations. The synthesis of the logical-algorithmic model that ensures acceptable
levels of software reliability and development time is carried out by selecting
controllable variables associated with improving substitutions. The genetic
algorithm is used to determine the structure of the reliability model by selecting the
implementation options of the development stages. To ensure compliance with the
requirements, the gradient method is used to adjust the parameters of the reliability
model by selecting the ratios of repeated inspections and corrections.
Додано/оновлено в НРАТ
2026-09-27
