|
|
Web Application Testing with Mocked Data
Bruckner, Tomáš ; Lichtner, Ondrej (referee) ; Pluskal, Jan (advisor)
This work deals with creating and providing mocked data for applications that use REST interface to communicate between the client and server parts. From the various implementations of the REST interface, the work focuses only on OData standard. The project itself is mainly for SAP company. Naturally, even the libraries that are used in the final solution are from SAP. Primaly JavaScript framework SAPUI5 is used. The merit of this work is a library that facilitates the development of the client side of web applications. It fully supports CRUD operations over OData calls. Compared to other libraries creating mocked data that always return the same static data, this one simulates the behavior of the real server. So, when DELETE method is called for a specific entity, the given entity is deleted. This functionality is enabled by the client-side database created directly in the web browser, which corresponds to the database on the server side. A similar library for OData protocol does not exist, so it is a unique solution. The solution is verified using prepared web application.
|
|
|
Automatic Generation of Synthetic XML Documents
Betík, Roman ; Holubová, Irena (advisor) ; Svoboda, Martin (referee)
The aim of this thesis is to research the current possibilities and limitations of automatic generation of synthetic XML and JSON documents used in the area of Big Data. The first part of the work discusses the properties of the most used XML data generators, Big Data and JSON generators and compares them. The next part of the thesis proposes an algorithm for data generation of semistructured data. The main focus of the algorithm is on the parallel execution of the generation process while preserving the ability to control the contents of the generated documents. The data generator can also use samples of real data in the generation of the synthetic data and is also capable of automatic creation of simple references between JSON documents. The last part of the thesis provides the results of experiments with the data generator exploited for the purpose of testing database MongoDB, describes its added value and compares it to other solutions. Powered by TCPDF (www.tcpdf.org)
|
|
|
Web Application Testing with Mocked Data
Bruckner, Tomáš ; Lichtner, Ondrej (referee) ; Pluskal, Jan (advisor)
This work deals with creating and providing mocked data for applications that use REST interface to communicate between the client and server parts. From the various implementations of the REST interface, the work focuses only on OData standard. The project itself is mainly for SAP company. Naturally, even the libraries that are used in the final solution are from SAP. Primaly JavaScript framework SAPUI5 is used. The merit of this work is a library that facilitates the development of the client side of web applications. It fully supports CRUD operations over OData calls. Compared to other libraries creating mocked data that always return the same static data, this one simulates the behavior of the real server. So, when DELETE method is called for a specific entity, the given entity is deleted. This functionality is enabled by the client-side database created directly in the web browser, which corresponds to the database on the server side. A similar library for OData protocol does not exist, so it is a unique solution. The solution is verified using prepared web application.
|
|
|
Comparison of Approaches to Synthetic Data Generation
Šejvlová, Ludmila ; Šimůnek, Milan (advisor) ; Pavlíčková, Jarmila (referee)
The diploma thesis deals with synthetic data, selected approaches to their generation together with a practical task of data generation. The goal of the thesis is to describe the selected approaches to data generation, capture their key advantages and disadvantages and compare the individual approaches to each other. The practical part of the thesis describes generation of synthetic data for teaching knowledge discovery using databases. The thesis includes a basic description of synthetic data and thoroughly explains the process of their generation. The approaches selected for further examination are random data generation, the statistical approach, data generation languages and the ReverseMiner tool. The thesis also describes the practical usage of synthetic data and the suitability of each approach for certain purposes. Within this thesis, educational data Hotel SD were created using the ReverseMiner tool. The data contain relations discoverable with SD (set-difference) GUHA-procedures.
|
|
|
Automatic Generation of Synthetic XML Documents
Betík, Roman ; Holubová, Irena (advisor) ; Svoboda, Martin (referee)
The aim of this thesis is to research the current possibilities and limitations of automatic generation of synthetic XML and JSON documents used in the area of Big Data. The first part of the work discusses the properties of the most used XML data generators, Big Data and JSON generators and compares them. The next part of the thesis proposes an algorithm for data generation of semistructured data. The main focus of the algorithm is on the parallel execution of the generation process while preserving the ability to control the contents of the generated documents. The data generator can also use samples of real data in the generation of the synthetic data and is also capable of automatic creation of simple references between JSON documents. The last part of the thesis provides the results of experiments with the data generator exploited for the purpose of testing database MongoDB, describes its added value and compares it to other solutions. Powered by TCPDF (www.tcpdf.org)
|
|
|
Automatic Generation of Synthetic XML Documents
Betík, Roman ; Holubová, Irena (advisor) ; Klímek, Jakub (referee)
The aim of this thesis is to research the current possibilities and limitations of automatic generation of synthetic XML documents. The first part of the work discusses the properties of the most used XML data generators and compares them to each other. The next part of the thesis proposes an algorithm for XML data generation which focuses on subset of the main XML data characteristics (number of elements, number of attributes, fan-out, mixed contents etc.). The main target of the algorithm is to generate XML documents using a set of settings which are easy to understand. The last part of the work compares the proposed solution with the existing ones. The comparison focuses on how easy it is to generate XML documents, what structures can be created and finally it compares properties of the similar XML data created using different XML data generators. Powered by TCPDF (www.tcpdf.org)
|
|
|
Automatic Generation of Synthetic XML Documents
Betík, Roman ; Holubová, Irena (advisor) ; Malý, Jakub (referee)
The aim of this thesis is to research the current possibilities and limitations of automatic generation of synthetic XML documents. The first part of the work discusses the properties of the most used XML data generators and compares them to each other. The next part of the thesis proposes an algorithm for XML data generation which focuses on subset of the main XML data characteristics (number of elements, number of attributes, fan-out, mixed contents etc.). The main target of the algorithm is to generate XML documents using a set of settings which are easy to understand. The last part of the work compares the proposed solution with the existing ones. The comparison focuses on how easy it is to generate XML documents, what structures can be created and finally it compares properties of the similar XML data created using different XML data generators. Powered by TCPDF (www.tcpdf.org)
|
guest ::
