Abstract: Lots of Organizations before they are setup survey the maintainability of programming frameworks. To give quality program design there exists a critical strategy called Object-Oriented Framework. Object–Oriented estimations might be utilized to study the judgment skills suite of a class diagram’s structure particularly programming valuations and how the models have been developed and portrayed. The UML Class Diagram metrics maintain the Object-Oriented software. It is maintained through the investigation of the association among object oriented metrics and maintainability. This paper shows the effects of a scientific evaluation of software maintainability forecast and metrics. The research aims at the software quality attribute of maintainability as opposite to the method of software maintenance. It also aims to find out the vital correlation between structural complexity metrics and maintenance time. Several investigators have done copious in it, got lots of theoretical outcomes, and subsequently established a chain of practical uses. Due to dynamic changes in object-oriented technology, in today’s scenario the class diagram is an essential UML model, as, researcher must first get to know the use of software in a scientific manner. It is an affordable strategy which has had an exceptional result in recent times. This paper is related to UML class diagram metrics through which a way is provided to maintain UML class diagram complexity weights. UML Class diagram’s qualities will efficiently and technically show the complexity of Object -Oriented Software. A more specific research study has shown that the technique is associated with individual’s experience and also can be useful to improve software quality.

Bhawana Mathur and Manju Kaushik, “Empirical Analysis of Metrics Using UML Class Diagram” International Journal of Advanced Computer Science and Applications(IJACSA), 7(5), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070506

@article{Mathur2016,
title = {Empirical Analysis of Metrics Using UML Class Diagram},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070506},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070506},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {5},
author = {Bhawana Mathur and Manju Kaushik}
}