An Approach to Mutation-Based Test Data Generation
| Autor: | Shu Fang Lee, Tian Hua Zheng, Fang Wang, Ri Na Wu |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Smoke testing (software)
Model-based testing Test data generation business.industry Integration testing Computer science White-box testing Risk-based testing Software performance testing Manual testing General Medicine Test harness Reliability engineering Test script Keyword-driven testing Software System under test Non-regression testing Software construction Regression testing Mutation testing Software reliability testing Test Management Approach business Test data |
| Zdroj: | Applied Mechanics and Materials. :491-495 |
| ISSN: | 1662-7482 |
| Popis: | Software testing is an important technology used to assure the quality of software. The design of test data is very important, which determines the testing effect in the software testing. Existing design approach to test data cant simulate the fault in software run-environment systematically. Mutation testing is an effective software testing method, which can simulate software defects systematically. Using mutation testing for reference, this paper proposes an approach to mutation-based test data generation. By analyzing the demands of test data, such as coverage rate, fault simulation, we design a series of data mutation operators, which can accomplish design of test data systematically. Experiments are carried out on the supporting tool to validate the effectiveness of this approach. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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