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Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering
Software testing is an important and time-consuming task that is often done manually. In the last decades, researchers have come up with techniques to generate input data (e.g., fuzzing) and automate the process of generating test cases (e.g., search-based testing). However, these techniques are known to have their own limitations: search-based testing does not generate highly-structured data; grammar-based fuzzing does not generate test case structures. To address these limitations, we combinedoi:10.1145/3324884.3418930 fatcat:cts6vx2wsjaytab4yxjad2usgm