Supplementary Material - Mining Billions of AST Nodes to Study Actual and Potential Usage of Java Language Features
by Robert Dyer, Hridesh Rajan, Hoan Anh Nguyen, and Tien N. Nguyen
Table of Contents
- Introduction
- Section 2 - JLS Background
- Section 4.2 - Dataset Metrics
- Section 5.1 - RQ1 - Do projects use new language features before the features are released?
- Section 5.2 - RQ2 - How frequently is each language feature used?
- Section 5.3 - RQ3 - How did committers adopt and use language features?
- Section 5.3.1 - RQ3.1 - How many committers adopted and used new features over time?
- Section 5.3.2 - RQ3.2 - How much did committers use each feature?
- Section 5.3.3 - RQ3.3 - Did committers adopt features on an individual basis or as a team?
- Section 5.3.4 - RQ3.4 - Did committers use all new features?
- Section 5.4 - RQ4 - Were there missed opportunities to use language features?
- Section 5.5 - RQ5 - Was old code converted to use new language features?
Section 4.2 - Dataset Metrics
Boa Program: counts.boa
Raw Data: counts.txt
Figure 2 Generator: counts.java
This material generates the dataset metrics from Figure 2.
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