A Literature Survey of Cognitive Complexity Metrics for Statechart Diagrams

2019 ◽  
Author(s):  
Ann Wambui King’ori ◽  
Geoffrey Muchiri Muketha ◽  
Elyjoy Muthoni Micheni
Keyword(s):  
Cognitive Complexity ◽  
Literature Survey ◽  
Complexity Metrics

A Literature Survey of Cognitive Complexity Metrics for Statechart Diagrams

2019 ◽  
Vol 10 (4) ◽  
pp. 29-38
Author(s):  
Ann Wambui King’ori ◽  
Geoffrey Muchiri Muketha ◽  
Elyjoy Muthoni Micheni
Keyword(s):  
Cognitive Complexity ◽  
Literature Survey ◽  
Complexity Metrics

A Suite of Cognitive Complexity Metrics

2012 ◽  
pp. 234-247 ◽  
Author(s):  
Sanjay Misra ◽  
Murat Koyuncu ◽  
Marco Crasso ◽  
Cristian Mateos ◽  
Alejandro Zunino
Keyword(s):  
Cognitive Complexity ◽  
Complexity Metrics

scholarly journals A Suite of Object Oriented Cognitive Complexity Metrics

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 8782-8796 ◽  
Author(s):  
Sanjay Misra ◽  
Adewole Adewumi ◽  
Luis Fernandez-Sanz ◽  
Robertas Damasevicius
Keyword(s):  
Cognitive Complexity ◽  
Object Oriented ◽  
Complexity Metrics

Development of an Improved Cognitive Complexity Metrics for Object- Oriented Codes

2016 ◽  
Vol 18 (2) ◽  
pp. 1-11
Author(s):  
O Esther ◽  
O Stephen ◽  
O Elijah ◽  
A Rafiu ◽  
T Dimple ◽  
...  
Keyword(s):  
Cognitive Complexity ◽  
Object Oriented ◽  
Complexity Metrics

The Correlation among Cognitive Complexity Metrics in Algorithm Analysis

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
E. O. Isola
Keyword(s):  
Software Development ◽  
Cognitive Complexity ◽  
Early Stage ◽  
Pearson Correlation ◽  
Strong Relationship ◽  
Complexity Measure ◽  
Algorithm Analysis ◽  
Sorting Algorithm ◽  
Complexity Metrics ◽  
C Programming

In the early stage of software development, design complexity metrics are considered as useful indicators of a software testing effort and quality attributes. However, existing works made great efforts in establishing standardized metrics to evaluate the complexity of software, but there have not been significant efforts in finding the correlations among the cognitive complexity metrics. To address this challenge, this paper reviewed cognitive complexity metrics which includes: Improved Cognitive Complexity Measure (ICCM), New Cognitive Complexity of Program (NCCoP) and Modified Cognitive Complexity Measure (MCCM). The metrics were employed to analyse some selected sorting algorithms implemented in a procedural C programming language. The relationships among the aforementioned metrics were calculated using the Pearson Correlation Coefficient Method. The results of the comparative examination of ICCM, NCCoP and MCCM revealed that ICCM had more responsive measurements and that there exists a strong relationship among the specified metrics. ICCM had the strongest significance among the considered metrics based on the efforts in comprehending the information contained in the sorting algorithm codes. The study contributed significantly to understanding and addressing the complexity emanating from software development.

Applicability of three cognitive complexity metrics

2013 ◽  
Author(s):  
D. I. De Silva ◽  
N. Weerawarna ◽  
K. Kuruppu ◽  
N. Ellepola ◽  
N. Kodagoda
Keyword(s):  
Cognitive Complexity ◽  
Complexity Metrics
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