Published November 16, 2022
| Version v1
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An Empirical Evaluation of the "Cognitive Complexity" Measure as a Predictor of Code Understandability
Authors/Creators
- 1. Universita degli Studi dell'Insubria
- 2. American University in the Emirates
- 3. Hangzhou Dianzi University
Description
The paper provides an evaluation of the “Cognitive Complexity” measure as an indicator of code understandability.
The evaluation is performed via an empirical study.
""Cognitive Complexity" is compared with traditional code measure, like LoC and McCabe's complexity.
The data used in the empirical study are provided.
Files
correctness_Data.csv
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Additional details
References
- Luigi Lavazza, Abedallah Zaid Abualkishik, Geng Liu, Sandro Morasca, "An Empirical Evaluation of the "Cognitive Complexity" Measure as a Predictor of Code Understandability" (2022)