Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: The Effectiveness of Supervised Machine Learning Algorithms in
  Predicting Software Refactoring   Refactoring is the process of changing the internal structure of software to
improve its quality without modifying its external behavior. Empirical studies
have repeatedly shown that refactoring has a positive impact on the
understandability and maintainability of software systems. However, before
carrying out refactoring activities, developers need to identify refactoring
opportunities. Currently, refactoring opportunity identification heavily relies
on developers' expertise and intuition. In this paper, we investigate the
effectiveness of machine learning algorithms in predicting software
refactorings. More specifically, we train six different machine learning
algorithms (i.e., Logistic Regression, Naive Bayes, Support Vector Machine,
Decision Trees, Random Forest, and Neural Network) with a dataset comprising
over two million refactorings from 11,149 real-world projects from the Apache,
F-Droid, and GitHub ecosystems. The resulting models predict 20 different
refactorings at class, method, and variable-levels with an accuracy often
higher than 90%. Our results show that (i) Random Forests are the best models
for predicting software refactoring, (ii) process and ownership metrics seem to
play a crucial role in the creation of better models, and (iii) models
generalize well in different contexts.

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The categories of this paper are: hep-ph
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The categories of this paper are: math-ph
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The categories of this paper are: funct-an
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The categories of this paper are: econ
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The categories of this paper are: comp-gas
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The categories of this paper are: alg-geom
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The categories of this paper are: q-fin
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The categories of this paper are: dg-ga
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The categories of this paper are: q-bio
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The categories of this paper are: plasm-ph
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The categories of this paper are: physics
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The categories of this paper are: chao-dyn
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The categories of this paper are: stat
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The categories of this paper are: quant-ph
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The categories of this paper are: cond-mat
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The categories of this paper are: solv-int