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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gal, A. Etzion, O. |
| Copyright Year | 1970 |
| Abstract | A new model with invariant-based language effectively handles data-driven rules in databases and uses the rules' inherent semantic properties and supporting mechanisms to meet high-level language requirements. It is an extension of the basic PARDES model developed by Opher Etzion in 1990 to support derivations and integrity constraints in databases. The model's invariant-based language, unlike other programming languages, can follow data-driven rules' semantic properties. Such rules are activated by modifications of data items in a database, and they play an important role in many applications that maintain complex relationships between data items or interdependencies between parts of the database. Applications include expert systems, real-time databases, simulations, and decision-support systems. The authors present requirements for choosing an adequate programming style that uses data-driven rules. These requirements are based on software-engineering criteria such as compatibility with a high-level language and verifiability of the rule language. The authors show that contemporary database programming styles fail to meet these requirements, and they present the invariant-based language as a viable solution.< |
| Sponsorship | IEEE Computer Society |
| Starting Page | 28 |
| Ending Page | 38 |
| Page Count | 11 |
| File Size | 1228388 |
| File Format | |
| ISSN | 00189162 |
| Volume Number | 28 |
| Issue Number | 1 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1995-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Databases High level languages Software engineering Cities and towns Upper bound Expert systems Real time systems Information retrieval Frequency Logic |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Science |
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