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Filtering by: Creator Li, B. S. Degree Level Doctoral Resource Type Technical Report

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:

0.58 (shown by the circled vertical line in (a) at a lag of 7. Similarly, (b) in figure 4 shows the
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

Full Text:

formally, this problem can be stated as follows: Given a set of discrete classifiers S that are on the ROC