Artifact for Probabilistic Delta Debugging: Software Testing Data

Guancheng Wang from Peking University created this artifact to accompany the research paper on Probabilistic Delta Debugging. The dataset likely contains structured outputs or logs from applying probabilistic methods to the delta debugging process for software testing. Its specific size, format, and column details are not provided in the metadata.

Use Cases

• Benchmarking probabilistic debugging algorithms against traditional delta debugging (inferred from domain, verify after download)
• Training machine learning models to predict fault-relevant test cases (inferred from domain, verify after download)
• Analyzing the efficiency and effectiveness of different test case reduction strategies (inferred from domain, verify after download)

Strengths

• Published on paperswithcode, a platform for machine learning research artifacts.
• Associated with a specific research paper and author from a known institution (Peking University).

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count, file formats, and column definitions are unknown, which limits suitability assessment.
• License is listed as closed, restricting reuse and distribution.

Provenance

Source

Guancheng Wang, Peking University

Collection Method

Likely generated as part of research on probabilistic delta debugging.