Object Relational Databases (ORDB) are complex in nature than traditional relational databases because they combine the characteristics of both object oriented concepts and relational features of conventional databases. Design of an ORDB demands efficient and quality schema considering the structural, functional and componential traits. This internal quality of the schema is assured by metrics that measure the relevant attributes. This is extended to substantiate the understandability, usability and reliability of the schema, thus assuring external quality of the schema. This work institutes a formalization of ORDB metrics; metric definition, evaluation methodology and the calibration of the metric. Three ORDB schemas were used to conduct t...
Datawarehouse has a key role in formulating strategic decisions thus it is very essential to maintai...
Conceptual Modeling is one of the most important stages of the database (DB) design methodology. A n...
The presentation of the similarities and differences between relational modeling of data and the obj...
Abstract — The quality of software systems is the most important factor to consider when designing a...
ABSTRACT. Object-relational databases will replace relational systems to become the next great wave ...
Abstract: Object-relational databases add to the relational model the possibility of working with ne...
This paper describes a meta-modeling approach to formalize a set of metrics suited for object-relati...
Object-relational databases combine traditional relational database design with object-oriented feat...
Less complex object-relational (OR) database schemas are more understandable, changeable, maintainab...
It is important that the software products, and obviously databases, are evaluated for every relevan...
Object-relational (O/R) middleware is frequently used in practice to bridge the semantic gap (the ‘i...
Object-Relational Mapping (ORM) is a method intended to counter the incompatibilities between Object...
Referential integrity is an essential global constraint in a relational database, that maintains it ...
About a decade ago, the database group at the University of Wisconsin-Madison developed BUCKY, a ben...
The object-relational impedance mismatch (ORIM) problem characterises differences between the object...
Datawarehouse has a key role in formulating strategic decisions thus it is very essential to maintai...
Conceptual Modeling is one of the most important stages of the database (DB) design methodology. A n...
The presentation of the similarities and differences between relational modeling of data and the obj...
Abstract — The quality of software systems is the most important factor to consider when designing a...
ABSTRACT. Object-relational databases will replace relational systems to become the next great wave ...
Abstract: Object-relational databases add to the relational model the possibility of working with ne...
This paper describes a meta-modeling approach to formalize a set of metrics suited for object-relati...
Object-relational databases combine traditional relational database design with object-oriented feat...
Less complex object-relational (OR) database schemas are more understandable, changeable, maintainab...
It is important that the software products, and obviously databases, are evaluated for every relevan...
Object-relational (O/R) middleware is frequently used in practice to bridge the semantic gap (the ‘i...
Object-Relational Mapping (ORM) is a method intended to counter the incompatibilities between Object...
Referential integrity is an essential global constraint in a relational database, that maintains it ...
About a decade ago, the database group at the University of Wisconsin-Madison developed BUCKY, a ben...
The object-relational impedance mismatch (ORIM) problem characterises differences between the object...
Datawarehouse has a key role in formulating strategic decisions thus it is very essential to maintai...
Conceptual Modeling is one of the most important stages of the database (DB) design methodology. A n...
The presentation of the similarities and differences between relational modeling of data and the obj...