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Filtering by: Creator Mulligan, Daniel M. Degree Field Computer Science 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
The Evolution of Software Entropy in Open Source projects: An Empirical Study

Creator:

Mannan, Umme Ayda

Abstract:

Software entropy impacts the overall quality of software systems. High entropy hinders developers from understanding the purpose of a piece of code and can cause developers to make sub-optimal changes and introduce bugs. Researchers have used entropy scores to measure the naturalness of code. However, thus far, no one has...

Resource Type:

Technical Report

Full Text:

Validation. 171–179. [19] Eirini Kalliamvakou, Georgios Gousios, Kelly Blincoe, Leif Singer, Daniel M German