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Utah State UniversityDigitalCommons@USU All Graduate Theses and DissertationsGraduate Studies82011Test Data Extraction and Comparison with Test Data Generation Ali Gaza Utah State UniversityFollow
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01
Identify the data needed for testing, such as input data, expected output, and test scenarios.
02
Create a test data extraction plan, outlining the sources of data and the methods for extraction.
03
Collect the necessary data from databases, files, APIs, or other sources according to the plan.
04
Ensure data integrity by validating and cleaning the extracted data before using it for testing.
05
Map the extracted data to test cases and execute the tests using the extracted data.
06
Analyze the test results and make any necessary adjustments to the test data extraction process.

Who needs test data extraction and?

01
Software testers who are responsible for conducting test cases and ensuring the quality of software applications.
02
Developers who need realistic data to validate the functionality and performance of their applications.
03
QA engineers who need to automate testing processes and require reliable test data for their scripts.
04
Business analysts who need data for conducting user acceptance testing and verifying business requirements.
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Test data extraction is the process of retrieving relevant data from a database or system to be used for testing purposes.
Any organization or individual conducting testing that requires specific data from a database or system is required to file test data extraction.
Test data extraction forms can typically be filled out online or submitted electronically through a designated platform.
The purpose of test data extraction is to provide testers with the necessary data to conduct accurate and thorough testing of a system or application.
Test data extraction forms typically require details such as the type of data needed, the source of the data, and the intended use of the data for testing purposes.
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