Code Complexity Metrics Derived from Software Design: A Framework and Theoretical Evaluation

2020 ◽  
pp. 326-340
Author(s):  
Omar Masmali ◽  
Omar Badreddin
Keyword(s):  
Software Design ◽  
Theoretical Evaluation ◽  
Complexity Metrics ◽  
Code Complexity

scholarly journals An approach to assessment of dynamic software variability in mobile applications development

2018 ◽  
Keyword(s):  
Machine Learning ◽  
Programming Language ◽  
Mobile Applications ◽  
Product Line ◽  
Number Of Children ◽  
Java Programming ◽  
Complexity Metrics ◽  
Programming Tools ◽  
Dynamic Software ◽  
Code Complexity

The article describes the approach to the assessment of code reuse in Dynamic Product Line lines (DSPL). Some existing mechanisms to realize software variability in DSPL, such as machine learning, adaptive configurations based on Java programming tools which allow developing DSPL, especially in mobile applications domain, have been reviewed. During the development, some methods for the implementation of the variability specific to the selected programming language have been tested. For each of these mechanisms, such as Weighted Methods per Class, Response for a Class, Depth of Inheritance Tree, Coupling Between Objects, Number of Children, the code complexity metrics have been calculated. Based on these results the code reusability extent can be estimated for each of given variation mechanisms.

Program Comprehension and Code Complexity Metrics: An fMRI Study

2021 ◽  
Author(s):  
Norman Peitek ◽  
Sven Apel ◽  
Chris Parnin ◽  
Andre Brechmann ◽  
Janet Siegmund
Keyword(s):  
Program Comprehension ◽  
Complexity Metrics ◽  
Fmri Study ◽  
Code Complexity

Development of the test module code complexity metrics

2017 ◽  
pp. 33-36
Author(s):  
G. M. Rudakova ◽  
◽  
D. O. Kozhevnikov ◽  
Keyword(s):  
Complexity Metrics ◽  
Code Complexity ◽  
Test Module
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