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Ускорение операций над множествами в дедуктивном методе моделирования неисправностей

Ускорение операций над множествами в дедуктивном методе моделирования неисправностей

Abstract

Виконано аналіз структур даних і алгоритмів при виконанні операцій теорії множин над списками дефектів в дедуктивному методі моделювання несправностей цифрових систем. Запропоновано 4 типа структур даних та процедури їх обробки, що забезпечують максимальну швидкодію базових операцій, необхідних для ефективної програмної реалізації метода. This paper analyzes data structures and algorithms for performing set theory operations upon defects lists within deductive fault simulation method of digital systems. Suggested 4 types of data structures and calculation procedures, which provide maximum performance for base operations required for effective software implementation of the method.

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Keywords

бинарные деревья, характеристические векторы, связные списки, структуры данных, автоматическая генерация тестов, хэш-таблицы, программируемая логика

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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