Open AccessA Framework to Measure Level of Changeability & Reusability by using K means Classifier
Author(s) -
Sonal Gahlot*,
Rajender Singh Chhillar
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.j9097.0981119
Subject(s) - reusability , computer science , classifier (uml) , software , plug in , component (thermodynamics) , software metric , template , data mining , component based software engineering , artificial intelligence , software quality , software system , software development , programming language , physics , thermodynamics
Component’s reusability shows the level to which the component can be reused in alternate or as same component constructed applications. Software component’s intricacy is measuring the internals of the modules to achieve the quality maintained using the modules. On the basis of metrics which contribute towards the reusability and complexity factors, the training samples are prepared with the help of metric plug in. This research work is centered around constructing a structure which calculates level of variability and reusability with K means Classifier, the planned method computes the reusability and intricacy of the components (samples) and every of the sample falls in a classification or a cluster like high to low reusability cluster. The proposed technique automatically calculates the reusability & complexity of the testing samples given as input to the classifier with the help of enhanced K-means classifier.