Assessing the Object-level behavioral complexity in Object Relational Databases

Object Relational Database Management Systems model set of interrelated objects using references and collection attributes. The static metrics capture the internal quality of the database schema at the class -level during design time. Complex databases like ORDB exhibit dynamism during runtime and hence require performance-level monitoring. This is achieved by measuring the access and invocations of the objects during runtime, thus assessing the behavior of the objects. Runtime coupling and cohesion metrics are deemed as attributes of measuring the Object-level behavioral complexity. In this work, we evaluate the runtime coupling and cohesion metrics and assess their influence in measuring the behavioral complexity of the objects in ORDB. Further, these internal measures of object behavior are externalized in measuring the performance of the database in entirety. Experiments on sample ORDB schemas are conducted using statistical analysis and correlation clustering techniques to assess the behavior of the objects in real time. The results indicate the significance of the object behavior in influencing the database performance. The scope of this work and the future works in extending this research form the concluding note.