Methodological evaluation demonstrates data types streamline grammar-guided genetic programming interfaces, suggesting improved usability in software engineering tasks.
Genetic Programming (GP) is an heuristic method that can be applied to many Machine Learning, Optimization and Engineering problems. In particular, it has been widely used in Software Engineering for Test-case generation, Program Synthesis and Improvement of Software (GI).
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Espada et al. (2022) studied this question.
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