An approach for improving the concept of Cyclomatic Complexity for Object-Oriented Programming
This work addresses a specific limitation in software complexity measurement for developers and researchers, but it appears incremental as it builds on an existing metric without broad new insights.
The paper tackles the problem that cyclomatic complexity, a widely used software metric, does not account for coupling between classes in object-oriented programming, and proposes an algorithm to improve it by incorporating coupling measures.
Measuring software complexity plays an important role to meet the demands of complex software. The cyclomatic complexity is one of most used and renowned metric among the other three proposed and researched metrics that are namely: Line of code, Halstead measure and cyclomatic complexity. Although cyclomatic complexity is very popular but also serves some of the problems which has been identified and showed in a tabular form in this research work. It lacks the calculation of coupling between the object classes for object oriented programming and only calculates the complexity on the basis of the conditional statements. Thus there is requirement to improve the concept of cyclomatic complexity based on coupling. Paper includes the proposed algorithm to handle the above stated problem.