National Repository of Grey Literature 2 records found  Search took 0.01 seconds. 
Automated Detection of Relations in Data Structures
Nováček, Pavel ; Fiedor, Tomáš (referee) ; Smrčka, Aleš (advisor)
This thesis deals with automated knowledge acquisition from structured data, precisely it includes detections of relations of data types in tree-structured data. The thesis is a part of Testos platform, which aims at software testing automation. The goal was to design and implement a solution that would automatically plan and execute detections over samples of real data structures. Detections would be handled by external modules called detectors that would cooperate with the solution. The final tool is a service which implements a algorithm for communicating with detectors via well-defined protocol, sending them requests in parallel to perform detections and handling results of detections. The service can be managed and tasked via created HTTP API. The results of detections, i.e. meanings and relations of input data, are used by other tools of Testos platform for the purpose of generating new test data with structure corresponding to input samples of real data.
Automated Detection of Relations in Data Structures
Nováček, Pavel ; Fiedor, Tomáš (referee) ; Smrčka, Aleš (advisor)
This thesis deals with automated knowledge acquisition from structured data, precisely it includes detections of relations of data types in tree-structured data. The thesis is a part of Testos platform, which aims at software testing automation. The goal was to design and implement a solution that would automatically plan and execute detections over samples of real data structures. Detections would be handled by external modules called detectors that would cooperate with the solution. The final tool is a service which implements a algorithm for communicating with detectors via well-defined protocol, sending them requests in parallel to perform detections and handling results of detections. The service can be managed and tasked via created HTTP API. The results of detections, i.e. meanings and relations of input data, are used by other tools of Testos platform for the purpose of generating new test data with structure corresponding to input samples of real data.

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