Thesis Details
A Library for Detection of Semantic Properties of Tree Structures
Testing multicomponent systems in IT and IoT that process the streams of different messages is a complicated task. Why it is complicated? Because of the number of components, asynchronous interaction, different combinations of actions to test, test environment differs from the real environment and others. This thesis introduces an idea of how to generate complex input data for system testing while requiring minimum intervention from a developer. The test data generation is based on the analysis of traces of communication in a real system, and the reproduction of similar traces for testing purposes. The paper also proposes a framework for the initial analysis of messages transferred within the recorded communication. It can be solved using different abstract models: the message model, the communication model. The result of this work is the implemented library for creating a message model with a set of operations for working with this model.
SCADA, Abstract data structures, Testing, IoT, Prefix tree, Digital twin.
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Hradiš Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Hrubý Martin, Ing., Ph.D. (DITS FIT BUT), člen
Kočí Radek, Ing., Ph.D. (DITS FIT BUT), člen
Rozman Jaroslav, Ing., Ph.D. (DITS FIT BUT), člen
@mastersthesis{FITMT22423,
author = "Sergey Panov",
type = "Master's thesis",
title = "A Library for Detection of Semantic Properties of Tree Structures",
school = "Brno University of Technology, Faculty of Information Technology",
year = 2020,
location = "Brno, CZ",
language = "english",
url = "https://www.fit.vut.cz/study/thesis/22423/"
}