On the semantics of the relational data model
SIGMOD '75 Proceedings of the 1975 ACM SIGMOD international conference on Management of data
SIGFIDET '74 Proceedings of the 1974 ACM SIGFIDET (now SIGMOD) workshop on Data description, access and control: Data models: Data-structure-set versus relational
Optimal data base schema design.
Optimal data base schema design.
A clustering approach to the generation of subfiles for the design of a computer data base.
A clustering approach to the generation of subfiles for the design of a computer data base.
Introduction to Database Systems
Introduction to Database Systems
The Logical Record Access Approach to Database Design
ACM Computing Surveys (CSUR)
Automating the development of a conceptual schema
ACM-SE 17 Proceedings of the 17th annual Southeast regional conference
A stepwise approach to database design
ACM-SE 14 Proceedings of the 14th annual Southeast regional conference
View representation in logical database design
SIGMOD '78 Proceedings of the 1978 ACM SIGMOD international conference on management of data
IAM: an inferential abstract modeling approach to design of conceptual schema
SIGMOD '77 Proceedings of the 1977 ACM SIGMOD international conference on Management of data
A Methodology for View Inegration in Logical Database Design
VLDB '82 Proceedings of the 8th International Conference on Very Large Data Bases
The use of Entity Diagrams in data base systems implementation
ACM '77 Proceedings of the 1977 annual conference
Changing role of the systems analyst
SIGCPR '76 Proceedings of the fourteenth annual computer personnel research conference
Teaching data base systems using date and computing surveys
ACM SIGMOD Record
Automating database construction
ACM SIGMIS Database
Database design: a survey of logical and physical design techniques
ACM SIGMIS Database
Design and performance tools for data base systems
VLDB '77 Proceedings of the third international conference on Very large data bases - Volume 3
Validation and verification aspects of information modeling
VLDB '77 Proceedings of the third international conference on Very large data bases - Volume 3
1978 new Orleans data base design workshop report
VLDB '79 Proceedings of the fifth international conference on Very Large Data Bases - Volume 5
Data base system performance prediction using an analytical model (invited paper)
VLDB '81 Proceedings of the seventh international conference on Very Large Data Bases - Volume 7
Data architecture and data model considerations
AFIPS '77 Proceedings of the June 13-16, 1977, national computer conference
A new methodology for database requirements analysis
MIS Quarterly
An overview of recent data base research
ACM SIGMIS Database
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Current research in the area of database design has been directed towards the development of structured or automated database design techniques. The first phase of the database design process, information requirements specification and analysis, is unfortunately ignored. The lack of concern for whether or not the input to the design techniques can be collected in the real world and for wheather or not the input is an adequate and complete representation can only result in an inadequate and possible useless database design.Most database models and design techniques utilize only process-oriented information. Other techniques utilize non process-oriented information whose foundation may not be clearly identifiable. The use of only process-oriented information may result in a narrowly defined unimaginative database design which may be unresponsive to the changing needs of the organization. To overcome the shortcomings of this traditional approach, it is necessary to complement it with an additional approach.This can be accomplished in three steps. First, the description and use of the information required for the database design process must be clearly stated. Second, two independent perspectives for viewing the required information must be considered: the information structure perspective and the usage perspective. The information perspective depicts the natural characteristics of data, inherent groupings and relationships. This perspective is not bound to existing or future applications; hence it is a more general and flexible view of information than one which is process oriented. The usage perspective describes how data items are utilized by the system in order to accomplish its processing requirements. Third, a vehicle for aiding the specification itegration of these two independent perspectives must be considered.