Analysis of Existing Software Cognitive Complexity Measures

2017 ◽  
Vol 8 (4) ◽  
pp. 51-71
Author(s):  
Sanjay Misra ◽  
Adewole Adewumi ◽  
Robertas Damasevicius ◽  
Rytis Maskeliunas

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.

Author(s):  
Sanjay Misra ◽  
Adewole Adewumi

This chapter presents the analysis of ten recently proposed object-oriented metrics based on cognitive informatics. The metrics based on cognitive informatics use cognitive weight. Cognitive weight is the representation of the understandability of the piece of software that evaluates the difficulty experienced in comprehending and/or performing the piece of software. Development of metrics based on Cognitive Informatics (CI) is a new area of research, and from this point of view, for the analysis of these metrics, it is important to know their acceptability from other existing evaluation and validation criteria. This chapter presents a critical review on existing object-oriented cognitive complexity measures. In addition, a comparative study based on some selected attributes is presented.


Author(s):  
Sanjay Misra ◽  
Adewole Adewumi

This chapter presents the analysis of ten recently proposed object-oriented metrics based on cognitive informatics. The metrics based on cognitive informatics use cognitive weight. Cognitive weight is the representation of the understandability of the piece of software that evaluates the difficulty experienced in comprehending and/or performing the piece of software. Development of metrics based on Cognitive Informatics (CI) is a new area of research, and from this point of view, for the analysis of these metrics, it is important to know their acceptability from other existing evaluation and validation criteria. This chapter presents a critical review on existing object-oriented cognitive complexity measures. In addition, a comparative study based on some selected attributes is presented.


2018 ◽  
pp. 1324-1347
Author(s):  
Sanjay Misra ◽  
Adewole Adewumi

This chapter presents the analysis of ten recently proposed object-oriented metrics based on cognitive informatics. The metrics based on cognitive informatics use cognitive weight. Cognitive weight is the representation of the understandability of the piece of software that evaluates the difficulty experienced in comprehending and/or performing the piece of software. Development of metrics based on Cognitive Informatics (CI) is a new area of research, and from this point of view, for the analysis of these metrics, it is important to know their acceptability from other existing evaluation and validation criteria. This chapter presents a critical review on existing object-oriented cognitive complexity measures. In addition, a comparative study based on some selected attributes is presented.


2021 ◽  
Author(s):  
Nicole Andra Wilson

This thesis research seeks to provide insight into the corporate environmental disclosure practices of multinational agrochemical parent corporations, their public subsidiaries in India and domestic Indian agrochemical corporations. The study analyzes whether environmental disclosure practices are more strongly influenced by country-of-operation or country-of-origin. These analyses use a recently developed content analysis instrument named consolidated narrative interrogation (CONI), which is capable of measuring the diversity, quantity and quality of environmental disclosures. Results indicate that the quantity, quality and diversity of Indian agrochemical subsidiaries’ corporate environmental disclosures are more similar to domestic Indian companies than their parent companies. These results may be explained by the institutional theory. The results of this study are of significance because they provide evidence that multinational corporations may not transfer their environmental disclosure practices to host countries. Instead, environmental disclosure practices of subsidiaries are localized to their host country and are not standardized with parent company practices.


2021 ◽  
Author(s):  
Nicole Andra Wilson

This thesis research seeks to provide insight into the corporate environmental disclosure practices of multinational agrochemical parent corporations, their public subsidiaries in India and domestic Indian agrochemical corporations. The study analyzes whether environmental disclosure practices are more strongly influenced by country-of-operation or country-of-origin. These analyses use a recently developed content analysis instrument named consolidated narrative interrogation (CONI), which is capable of measuring the diversity, quantity and quality of environmental disclosures. Results indicate that the quantity, quality and diversity of Indian agrochemical subsidiaries’ corporate environmental disclosures are more similar to domestic Indian companies than their parent companies. These results may be explained by the institutional theory. The results of this study are of significance because they provide evidence that multinational corporations may not transfer their environmental disclosure practices to host countries. Instead, environmental disclosure practices of subsidiaries are localized to their host country and are not standardized with parent company practices.


Author(s):  
B. F. Tarasenko B. F. ◽  
◽  
S. Y. Orlenko S. Y. ◽  
V. V. Kuzmin V. V.

The article presents a comparative analysis, based on field tests, of the quality of loosening of soil structures of the upper horizon with technical means developed at KubSAU and an improved design of a universal tillage unit.


2012 ◽  
Vol 9 (2) ◽  
pp. 53-57 ◽  
Author(s):  
O.V. Darintsev ◽  
A.B. Migranov

The main stages of solving the problem of planning movements by mobile robots in a non-stationary working environment based on neural networks, genetic algorithms and fuzzy logic are considered. The features common to the considered intellectual algorithms are singled out and their comparative analysis is carried out. Recommendations are given on the use of this or that method depending on the type of problem being solved and the requirements for the speed of the algorithm, the quality of the trajectory, the availability (volume) of sensory information, etc.


Sign in / Sign up

Export Citation Format

Share Document