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We propose Guided Random Testing (GRT), which uses static and dynamic analysis to include information on program types, data, and dependencies in various stages of automated test generation. Static analysis extracts knowledge from the system under test. Test coverage is further improved through state fuzzing and continuous coverage analysis. We evaluated GRT on 32 real-world projects and found that...
While being highly automated and easy to use, existing techniques of random testing suffer from low code coverage and defect detection ability for practical software applications. Most tools use a pure black-box approach, which does not use knowledge specific to the software under test. Mining and leveraging the information of the software under test can be promising to guide random testing to overcome...
GRT (Guided Random Testing) is an automatic test generation tool for Java code, which leverages static and dynamic program analysis to guide run-time test generation. In this paper, we summarize competition results and experiences of GRT in participating in SBST 2015, where GRT ranked first with a score of 203.73 points over 63 Java classes from 10 packages of 9 open-source software projects.
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