Thesis Details
Automatizovaná detekce datových typů ve strukturách
This bachelor's thesis deals with data structure synthesis for software testing. In particular, the thesis focuses on analysis of real data in order to detect data types for further test data generation. Data analysis is performed in two layers: a control system for scheduling and invoking partial detections, and a set of data detectors. The thesis deals with analysis and implementation of tool consisting of set of data type detectors over tree structured data like JSON, YAML, or XML. The goal of the detectors is to determine a semantics of values of analysed structure and dependencies between data. The set can be easily expanded as needed, to detect even more complicated meanings and dependencies. The results of these analysis can be used to generate new test data for software testing.
analysis of structured data, structured data, tree data structure, data synthesis, testing, JSON
Grézl František, Ing., Ph.D. (DCGM FIT BUT), člen
Honzík Jan M., prof. Ing., CSc. (DIFS FIT BUT), člen
Kořenek Jan, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Smrčka Aleš, Ing., Ph.D. (DITS FIT BUT), člen
@bachelorsthesis{FITBT21837, author = "Martin Oh\'{a}\v{n}ka", type = "Bachelor's thesis", title = "Automatizovan\'{a} detekce datov\'{y}ch typ\r{u} ve struktur\'{a}ch", school = "Brno University of Technology, Faculty of Information Technology", year = 2019, location = "Brno, CZ", language = "czech", url = "https://www.fit.vut.cz/study/thesis/21837/" }