International Journal of Knowledge Based Computer System

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Evaluating the Dynamic Metrics for Object-Relational Modeling


Affiliations
1 School of Computing Sciences and Engineering, VIT University, Chennai, Tamil Nadu, India
2 Botho University, Botswana, South Africa
     

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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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  • Evaluating the Dynamic Metrics for Object-Relational Modeling

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Authors

Justus Selwyn
School of Computing Sciences and Engineering, VIT University, Chennai, Tamil Nadu, India
Meenakshi K. Sundaram
Botho University, Botswana, South Africa

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.

References