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Filtering by: Creator Remcho, Vincent T. Degree Level Doctoral Commencement Year Unknown

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:

Engineering, 2009. ICSE 2009. IEEE 31st International Conference on. IEEE, 78–88. [15] Vincent J Hellendoorn
Model Selection of Discrete Classifiers under Class and Cost Distribution Change: An Empirical Study

Creator:

Ahmed, Nahian and Hutchinson, Rebecca A.

Abstract:

A variety of important machine learning applications require predictions on test data with different characteristics than the data on which a model was trained and validated. In particular, test data may have a different relative frequency of positives and negatives (i.e., class distribution) and/or different mislabeling costs of false positive...

Resource Type:

Technical Report
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