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Evaluating the Dynamic Metrics for Object-Relational Modeling

International Journal of Knowledge Based Computer Systems

Volume 6 Issue 1

Published: 2018
Author(s) Name: Justus Selwyn and Meenakshi K. Sundaram | Author(s) Affiliation: School of Computing Sciences and Engineering, VIT University, Chennai, Tamil Nadu, India.
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Abstract

Runtime cohesion and coupling metrics are used to estimate the togetherness and the relatedness of objects in object oriented (OO) systems. The advancement of OO systems have combined the relational traits of database systems to form a powerful architecture called object-relational data models. The runtime cohesion and coupling metrics of an object help determine the behavioural complexity in terms of fetching and pre-fetching of objects. In this work we are proposing two algorithms for calculating the runtime cohesion and runtime coupling metric values for the objects in object-relational data models and have presented the metric results evaluated from the implementation of the algorithm. Also the runtime behavior of objects based on the runtime metrics values is also validated.

Keywords: Algorithms, Dynamic behavior of objects, Object relational data models, Runtime metrics.

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