Cognitive Complexity Validation Data for Source Code Understandability

A release of data, code, and documentation from an empirical study validating cognitive complexity as a measure of source code understandability. The materials were created by Marvin Muñoz Barón at the University of Stuttgart to ensure reproducibility and transparency for the associated research paper.

Use Cases

• Replicate the empirical validation study based on the provided data and analysis code.
• Benchmark new code understandability metrics against the cognitive complexity data.
• Analyze the relationship between cognitive complexity and other software metrics implied by the study's focus.

Strengths

• Data and code are released specifically to ensure reproducibility and repeatability of the research.
• The dataset is published alongside a peer-reviewed academic paper, providing a formal context.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

University of Stuttgart

Collection Method

Generated by data analysis and literature search for an empirical validation study.