Thesis Details
Automatizovaná detekce závislostí datových struktur
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.
structured data, analysis, abstract data tree, tree data structure, reporter, detector, JSON, Testos, .NET Core, data-driven testing
Kekely Lukáš, Ing., Ph.D. (DCSY FIT BUT), člen
Křivka Zbyněk, Ing., Ph.D. (DIFS FIT BUT), člen
Rogalewicz Adam, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Španěl Michal, Ing., Ph.D. (DCGM FIT BUT), člen
@bachelorsthesis{FITBT22816, author = "Pavel Nov\'{a}\v{c}ek", type = "Bachelor's thesis", title = "Automatizovan\'{a} detekce z\'{a}vislost\'{i} datov\'{y}ch struktur", school = "Brno University of Technology, Faculty of Information Technology", year = 2020, location = "Brno, CZ", language = "czech", url = "https://www.fit.vut.cz/study/thesis/22816/" }