Cognitive complexity: A model for distributing equivalent programming problems

Dey, Samrat Kumar; Tariq, S. S. M.; Islam, Md. Shariful; Bashir, Golam Md. Muradul

doi:10.1109/ecace.2017.7913018

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…Gruhn and Laue had suggested that there should be three more BCS other than 10 mentioned in Table 1 [11], [14]. Nevertheless, there are issues with Cognitive metrics and tools based upon that.…”

Section: Cognitive Wieghts and Its Limitationsmentioning

confidence: 99%

“…Shao and wang proposed that different software constructs require different mental effort and hence proposed cognitive weights for various Basic control structure (BCS) [5], [6]. Based upon these cognitive weights many novel complexity measures were proposed by researchers [5]- [11]. But the problem of correct measurement of code complexity (and inversely problem of understanding program comprehension) persisted.…”

Section: Introductionmentioning

confidence: 99%

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Underlying Mental Factors Contributing to Software Complexity

Jain,

Singh

2020

IJEAT

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Software complexity and program comprehension are inversely related. Higher the code complexity, poorer the comprehension. But we neither have good software complexity measure, nor do we understand how the program comprehension took place in human mind. This is because we know so little about the working of the human brain; how it processes internal and external information. In this paper we have identified 5 mental factors which adds into the code complexity. In order to explain these factors, we took 10 code snippet pairs in C language (2 each for every factor). Code snippets in pair are identical - in terms of number of variables, operators, control structure- but we believe one of the snippets in pair is carrying the higher cognitive load due to underlying mental factor identified. To the best of our knowledge these factors identified here in this paper are not used in calculating the code or software complexity. We believe these identified mental factors can be validated by various brain imaging and Eye tracking techniques like EEG and fMRI. They can also be validated by conventional software experimental methods. We believe these identified factors will increase our understanding of Program comprehension as well as it will lead better software complexity measure. This could be very useful in computer science education. The very process of understanding how the human mind decode the software can be possibly understood. In long run this could help us in better understanding of the functioning of human brain.

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Section: Cognitive Wieghts and Its Limitationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Underlying Mental Factors Contributing to Software Complexity

Jain,

Singh

2020

IJEAT

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A Study And Experimental Assessment Of The Cognitive Weight, Base Of The Cognitive Metrics

Núñez-Varela

Pérez-González

Martínez-Pérez

et al. 2019

2019 7th International Conference in Software Engineering Research and Innovation (CONISOFT)

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Analysis of Existing Software Cognitive Complexity Measures

Misra

Adewumi

Damaševičius

et al. 2017

International Journal of Secure Software Engineering

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In order to maintain the quality of software, it is important to measure it complexity. This provides an insight into the degree of comprehensibility and maintainability of the software. Measurement can be carried out using cognitive measures which are based on cognitive informatics. A number of such measures have been proposed in literature. The goal of this article is to identify the features and advantages of the existing measures. In addition, a comparative analysis is done based on some selected criteria. The results show that there is a similar trend in the output obtained from the different measures when they are applied to different examples. This makes it easy for adopting organisations to readily choose from the options based on the availability of tool support.

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Cognitive complexity: A model for distributing equivalent programming problems

Cited by 3 publications

References 15 publications

Underlying Mental Factors Contributing to Software Complexity

Underlying Mental Factors Contributing to Software Complexity

A Study And Experimental Assessment Of The Cognitive Weight, Base Of The Cognitive Metrics

Analysis of Existing Software Cognitive Complexity Measures

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