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National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
A Tool for Database Content Analysis for Testing Purposes
 Kropáč, František ; Šimková, Hana (referee) ; Smrčka, Aleš (advisor)
Acceptance testing of applications before the production includes testing of scenarios resembling situations of real usage of the application. Creating the test data is complicated matter since the data are specified by restrictions concerning the domain of the tested application and the specifications of the structural restrictions and the relations between these data. This thesis focuses on the issues of detecting the data constraints in an already created relational database. The outcome of the thesis is a tool which automatically controls and mediates the detection of the data constraints in a relational database. The detection result is a weight rating of the data restrictions, which represents both the data type and the relation between tables, columns in relational database. These restrictions can be used to generate a random testing data which would represent inputs for seemingly realistic scenarios of the usage of the application.
Detailed record
A Tool for Database Content Analysis for Testing Purposes
 Kropáč, František ; Šimková, Hana (referee) ; Smrčka, Aleš (advisor)
Acceptance testing of applications before the production includes testing of scenarios resembling situations of real usage of the application. Creating the test data is complicated matter since the data are specified by restrictions concerning the domain of the tested application and the specifications of the structural restrictions and the relations between these data. This thesis focuses on the issues of detecting the data constraints in an already created relational database. The outcome of the thesis is a tool which automatically controls and mediates the detection of the data constraints in a relational database. The detection result is a weight rating of the data restrictions, which represents both the data type and the relation between tables, columns in relational database. These restrictions can be used to generate a random testing data which would represent inputs for seemingly realistic scenarios of the usage of the application.
Detailed record

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