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- W2894042455 abstract "Software frameworks are daily and extensively used in research, both for fundamental studies and applications. Researchers usually trust in the quality of these frameworks without any evidence that they are correctly build, indeed they could contain some defects that potentially could affect to thousands of already published and future papers. Considering the important role of these frameworks in the current state-of-the-art in research, their quality should be quantified to show the weaknesses and strengths of each software package." @default.
- W2894042455 created "2018-10-05" @default.
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- W2894042455 date "2018-01-01" @default.
- W2894042455 modified "2023-10-04" @default.
- W2894042455 title "Measuring the Quality of Machine Learning and Optimization Frameworks" @default.
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- W2894042455 doi "https://doi.org/10.1007/978-3-030-00374-6_13" @default.
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