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The present findings may be thought of in terms of the adaptive relevance of cognitive complexity.
Cognitive techniques are well suited for managing systems of such complexity, citing recent trends of using cognitive techniques for code mapping and optimization support.
These results suggest that manipulations of “cognitive complexity” can be dissociated, suggesting that “cognitive complexity” in not a unitary construct that affects a single psychological process.
PHPs must manage cognitive cases carefully, not only in their clinical complexity but also in their psychosocial aspects.
Therefore cognitive information complexity measure can be used to understand the cognitive information complexity and the information coding efficiency of the software.
Analysis in this paper shows the significant flaw of current cognitive complexity measures that they quantify the factors without considering the dependencies among them.
It has been found that all the nine properties have been satisfied by cognitive information complexity measure and hence establishes cognitive information complexity measure based on information contained in the software as a robust and well-structured one.
Proceedings ArticleDOI
Yingxu Wang, Jingqiu Shao 
18 Aug 2003
81 Citations
Therefore, the cognitive functional size provides a novel, stable and practical software complexity measurement and is helpful to explain the fundamental nature of software complexity in the phase of design, implementation, or maintenance in software engineering.
The results support an over-all positive effect of cognitive complexity on performance.
Powers, Jordan, and Street recently presented evidence suggesting that assessments of cognitive complexity obtained from a widely used procedure may be significantly influenced by general loquacity and verbal complexity.