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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)

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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)Choosing the fitness function for the job: Automated generation of test suites that detect real faults., , and . Softw. Test. Verification Reliab., (2019)Learning How to Search: Generating Effective Test Cases Through Adaptive Fitness Function Selection., and . CoRR, (2021)Using Search-Based Test Generation to Discover Real Faults in Guava., , and . SSBSE, volume 10452 of Lecture Notes in Computer Science, page 153-160. Springer, (2017)Learning How to Search: Generating Exception-Triggering Tests Through Adaptive Fitness Function Selection., and . ICST, page 63-73. IEEE, (2020)Choosing the fitness function for the job: Automated generation of test suites that detect real faults., , and . Softw. Test. Verification Reliab., (2020)Design a Compact Non-linear S-Box with Multiple-Affine Transformations., , , and . ACRIT, volume 1174 of Communications in Computer and Information Science, page 439-452. Springer, (2019)Generating Diverse Test Suites for Gson Through Adaptive Fitness Function Selection., and . SSBSE, volume 12420 of Lecture Notes in Computer Science, page 246-252. Springer, (2020)An Effective Hybrid Model for Skin Cancer Detection Using Transfer Learning., , , , and . DeSE, page 840-845. IEEE, (2023)