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Filtering by: Creator Yasuda, Dean D. Degree Level Doctoral Commencement Year Unknown

Understanding Software-2.0: A Study of Machine Learning library usage and evolution

Creator:

Dilhara, Malinda, Ketkar, Ameya, and Dig, Danny

Abstract:

Enabled by a rich ecosystem of Machine Learning (ML) libraries, programming using learned models, i.e., Software-2.0, has gained substantial adoption. However, we do not know what challenges developers encounter when they use ML libraries. With this knowledge gap, researchers miss opportunities to contribute to new research directions, tool builders do...

Resource Type:

Research Paper

Full Text:

(b) Python files 106710 138099 (c) Commits 373 5076 (d) Contributors 21 22 (e) Languages Fig