Test Data Generation for Web Applications: A Constraint and Knowledge-based Approach

نویسندگان

  • Hibiki Saito
  • Shingo Takada
  • Haruto Tanno
  • Morihide Oinuma
چکیده

Software testing is an important part of the software development process. Much work been has done on automating various parts of testing. In previous work, we had proposed a knowledge-based approach to generate test scenarios for Web applications. However, our previous work did not account for generation of actual test data. Thus, in order to execute the test scenarios, the user would need to (manually) create the test data. This paper proposes an approach to generate test data for our previously proposed test scenario generation tool. Our approach can generate two types of test data: constraint-based test data and database-based test data. Our tool can now automatically execute the combined test scenario and test data. We confirmed the usefulness of our approach through a case study. Keywords-test data generation; Web applications; test scenario

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تاریخ انتشار 2014