Understandability & Complexity estimation of Software program in Python Language (UCS-PL)

Software Engineering

There has been rapid growth in software development. In the Software development process readability, understandability, and maintainability are the important characteristics of software development for quality software, because it may influence the performance of the software. The cost and reuse of the software are also affected by it. Readability and understandability of code/program in python language reduce the testing time of software in the main phase which also, reduces the defects of the software after development. If a developer or a tester can predict the software defects properly then, it reduces the cost, time, and effort as well. Software maintainability measurement early in the development life cycle, especially at the first phase or design phase, may help designers to incorporate other required enhancement/implementation and corrections for improving the performance of the final software. This paper developed to show a comparative analysis of software development in multiple languages like JAVA, C++, and Python. The readability & understandability of the source code depends upon the psychological complexity of the software. A complexity metric for Python language is formulated. Since Python is a high-level OOP language, the present metric is capable to evaluate any object-oriented language. We validate our metric with a case study, comparative study, and empirical validation. The case study is in Python, Java, and C++ and the results prove that Python is better than other object-oriented languages in readability, understandability, and after development maintenance complexity

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