Cited By
View all- Zheng WChen THu MYang FFan XXiao P(2023)Hybrid Defect Prediction Model Based on Counterfactual Feature OptimizationHuman-Centric Intelligent Systems10.1007/s44230-023-00034-23:3(366-380)Online publication date: 4-Jul-2023
An Analytical and Comparative Review of Cohesion Metrics
Pages 17 - 25
Abstract
In the present scenario object-oriented paradigm (OOP) is the most popular paradigm due to its features like reusability, maintainability etc. Large software applications are composed of hundreds of classes which in turn encapsulate huge number of methods. Hence the application is usually organized into modules using the concept of packaging. The desired characteristic of OOP is high cohesion and lower coupling. This enables high understandability and low maintenance overhead of the application. This is because high degree of understandability lowers the time spent to comprehend the software and hence its testability and maintainability. A lot of cohesion metrics are proposed by software scientist at different level. In this paper, the state of art of cohesion metrics is presented and the future scope of research in the same is discussed.
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Index Terms
- An Analytical and Comparative Review of Cohesion Metrics
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January 2018
137 pages
ISBN:9781450354387
DOI:10.1145/3178461
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Published: 04 January 2018
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ICSIM2018: 2018 International Conference on Software Engineering and Information Management
January 4 - 6, 2018
Casablanca, Morocco
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View all- Zheng WChen THu MYang FFan XXiao P(2023)Hybrid Defect Prediction Model Based on Counterfactual Feature OptimizationHuman-Centric Intelligent Systems10.1007/s44230-023-00034-23:3(366-380)Online publication date: 4-Jul-2023
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