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Learning how to search: generating effective test cases through adaptive fitness function selection., and . Empir. Softw. Eng., 27 (2): 38 (2022)Sharing experiments using open-source software., , and . Softw. Pract. Exp., 41 (3): 283-305 (2011)The integration of machine learning into automated test generation: A systematic mapping study., and . Softw. Test. Verification Reliab., (June 2023)How Closely are Common Mutation Operators Coupled to Real Faults?, and . ICST, page 129-140. IEEE, (2023)Understanding Problem Solving in Software Testing: An Exploration of Tester Routines and Behavior., , , and . ICTSS, volume 14131 of Lecture Notes in Computer Science, page 143-159. Springer, (2023)Implications of ceiling effects in defect predictors., , , , , and . PROMISE@ICSE, page 47-54. ACM, (2008)Search-Based Test Generation Targeting Non-Functional Quality Attributes of Android Apps., , and . GECCO, page 1518-1526. ACM, (2023)Efficient observability-based test generation by dynamic symbolic execution., , , , and . ISSRE, page 228-238. IEEE Computer Society, (2015)Improving the accuracy of oracle verdicts through automated model steering., , and . ASE, page 527-538. ACM, (2014)Automated oracle creation support, or: How I learned to stop worrying about fault propagation and love mutation testing., , and . ICSE, page 870-880. IEEE Computer Society, (2012)