Bug localization in C#

This page contains the online appendix to the MSc. dissertation “Exploring structured information retrieval for bug localization in C# software projects” .

Dataset

Programs and data used in the experiments — issues, commits, and preprocessed source files — are available at the Replication page.

Results

RQ1: Are BLUiR, BLUiR+, and AmaLgam effective to locate bugs in C# projects?

Without dataset preparation steps

Summarized results

With dataset preparation steps

Summarized results

Statistical tests

Complete results

• BLUiR
• BLUiR+
• AmaLgam

RQ2: Does the addition of more program constructs increase the effectiveness of bug localization on C# projects?

Summarized results

Statistical tests

Complete results (with AmaLgam)

• Default mode
• Complete mode
• Mixed mode

RQ3: Which program constructs contribute more to the effectiveness of bug localization on C# projects?

Figure 4 – Variance corresponding to each principal component	Figure 5 – Correlation between variables and principal components

Input data and partial results

• PCA input: Scores of buggy files ranked in top 10 positions (Complete mode).
• Descriptive statistics of PCA input
• Contributions (eigenvalues) of principal components

RQ4: Does the effectiveness of bug localization increase with the suppression of constructs with the lowest contributions?

Summarized results

Statistical tests

RQ5: Does the effectiveness of bug localization increase with the emphasis on constructs with the highest contributions?

Summarized results (single weights)

Summarized results (combined weights)

Statistical tests

Contact

If you have questions, please contact Marcelo Garnier.