Wyniki wyszukiwania - BazTech

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Semi-automated Algorithm for Complex Test Data Generation for Interface-based Regression Testing of Software Components

Potuzak Tomas, Lipka Richard

Annals of Computer Science and Information Systems

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2021

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Vol. 25

501--510

EN

This paper describes in detail the Complex Object Generation (COG) algorithm, which is a semi-automated algorithm for the generation of instances of classes (i.e., objects) with a complex inner structure for Java and similar languages designed for black-box testing (i.e., without available source code). The algorithm was developed and tested as a stand-alone algorithm and can be used as such (e.g., during unit testing). However, we plan to use it to generate the parameter values of generated method invocations, which is a vital part of our interface-based regression testing of software components.

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Information granule system induced by a perceptual system

Bryniarska Anna

Annals of Computer Science and Information Systems

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2019

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Vol. 18

19--27

EN

Knowledge represented in the semantic network, especially in the Semantic Web, can be expressed in attributive language AL. Expressions of this language are interpreted in different theories of information granules: set theory, probability theory, possible data sets in the evidence systems, shadowed sets, fuzzy sets or rough sets. In order to unify the interpretations of expressions for different theories, it is assumed that expressions of the AL language can be interpreted in a chosen relational system called a granule system. In this paper, it is proposed to use information granule database and it is also demonstrated that this database can be induced by the measurement system of the adequacy of information retrieval, called a perceptual system. It can simplify previous formal description of the information granule system significantly. This paper also shows some examples of inducing rough and fuzzy granule databases by some perceptual systems.

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Development trends of semantic web information technology: the case study of organisational structure ontology

Sołtysik-Piorunkiewicz A., Krysiak M.

Information Systems in Management

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2017

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Vol. 6, No. 2

154--165

EN

The paper describes stages of development of the Semantic Web, classifies them, and describes proposed methods of utilizing the Internet in the future. It delves into issues pertaining the Web-based technology, and the mechanisms which, perfected and popularized, will lead to creation of Web 4.0. The observed rapid increase in the amount of data available on the Internet leads to difficulties in fast selection of content relevant to the user. The nature of the human language causes considerable obstacles for machine pattern recognition of information contained within the given content. This results in slow and inefficient extraction of valuable data. The basis for proper machine recognition of patterns contained on the Internet is the process of creating ontologies. The paper describes the most important features of ontologies and methods of describing information in such a way that its structure is clear to agents and multi-agent systems. The authors also present the issues of improving the quality of human life by proper management of information on the Internet. As its basis the paper uses a case study of ontology of City Hall of Częstochowa.