An empirical evaluation of the “Cognitive Complexity” measure as a predictor of code understandability

Author:

Lavazza LuigiORCID,Abualkishik Abedallah ZaidORCID,Liu Geng,Morasca Sandro

Funder

Università degli Studi dell'Insubria

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Software

Reference52 articles.

1. Syntax, predicates, idioms - what really affects code complexity?;Ajami;Empir. Softw. Eng.,2019

2. Barón, M.M., Wyrich, M., Wagner, S., 2020a. An Empirical Validation of Cognitive Complexity as a Measure of Source Code Understandability. In: Proceedings of the 14th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement. ESEM, pp. 1–12.

3. An empirical validation of cognitive complexity as a measure of source code understandability – Data, code and documentation;Barón,2020

4. A simple and effective measure for complex low-level dependencies;Beyer,2010

5. The role of method chains and comments in software readability and comprehension - An experiment;Börstler;IEEE Trans. Softw. Eng.,2016

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