An Experiment to Measure the Cognitive Weights of Code Control Structures

Tools and Acknowledgements

Commonly used software complexity measures do not consider code comprehension

Cognitive complexity measures have been proposed to handle this

Web app presents users with code snippets and tracks response times

14 participants (computer science grad students), 22 code snippets, 3 snippets for each control structure

Normalize for length of snippets

t(C_i) = \sum_{j=1}^{n_{attempts}} t(att_j) + t(att_{correct})

t(C_i) = \sum_{j=1}^{n_{attempts}} t(att_j) + t(att_{correct})

Participant response time for code snippet i.

Normalized response time for code snippet i across all participants

Cognitive weight of a particular control structure

Control Structure Response Times

[1] J. Shao and Y. Wang. A new measure of software complexity. 2003.

[2] Y. Wang. A new measure of software complexity. 2006.

[3] P. A. McQuaid. The profile metric and software quality. 1997.

Additional control structures e.g. exception handling

Eye-tracking data may provide additional insight

Web app may be adapted for different purposes

Experiments with other programming paradigms e.g. functional and logic programming