ITM Web Conf.
Volume 50, 2022Fourth International Conference on Advances in Electrical and Computer Technologies 2022 (ICAECT 2022)
|Number of page(s)||11|
|Section||Recent Computer Technologies|
|Published online||15 December 2022|
Cognitive Complexity Beyond Generalization: A Subjective Rating for the Human Comprehension
Department of Information Technology, Sri Lanka Institute of Information Technology, 10115 Malabe, Sri Lanka
2 Department of Information Engineering, University of Colombo School of Computing, 00700 Colombo 7, Sri Lanka
* Corresponding author: firstname.lastname@example.org
The cognitive complexity of a software determines the comprehension effort of a particular individual faces when designing, developing and maintaining a software. The comprehension level tends to be varied with each human resulting the cognitive complexity a subjective measurement. Expressing the cognitive complexity as a form of metric quantifies the comprehensibility as a generic value, which does not imply the subjectivity of human factor. This study elaborates the significance of expressing the cognitive complexity as a form of a subjective rating. The cognitive complexity rating has been pioneered with respect to the human and programming dependent factors related to human cognition. The Divisive hierarchical clustering algorithm has been used to train and predict the cognition rating per user. It has been clearly elaborated the subjectivity of the cognitive ratings over the quantitative and static complexity values of current cognitive and software complexity metrics. Thereby, the concept of cognition rates has been proposed as a preliminary step of determining and expressing the cognitive complexity.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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