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Applis, L.H. (author), Panichella, A. (author), Marang, R.J. (author)
More machine learning (ML) models are introduced to the field of Software Engineering (SE) and reached a stage of maturity to be considered for real-world use; But the real world is complex, and testing these models lacks often in explainability, feasibility and computational capacities. Existing research introduced meta-morphic testing to...
conference paper 2023
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Gissurarson, Matthías Páll (author), Applis, L.H. (author), Panichella, A. (author), van Deursen, A. (author), Sands, David (author)
Automatic program repair (APR) regularly faces the challenge of overfitting patches — patches that pass the test suite, but do not actually address the problems when evaluated manually. Currently, overfit detection requires manual inspection or an oracle making quality control of APR an expensive task. With this work, we want to introduce...
conference paper 2022