NDLI: Automatic high-quality reengineering of database programs by temporal abstraction

Content Provider	IEEE Xplore Digital Library
Author	Cohen, Y. Feldman, Y.A.
Copyright Year	1997
Description	Author affiliation: Dept. of Comput. Sci., Tel Aviv Univ., Israel (Cohen, Y.)
Abstract	The relational database model is currently the target of choice for the conversion of legacy software that uses older models (such as indexed-sequential, hierarchical or network models). The relational model makes up for its lower efficiency by a greater expressive power and by optimization of queries, using indexes and other means. However, sophisticated analysis is required in order to take advantage of these features, since converting each database access operation separately does not use the greater expressive power of the target database and does not enable it to perform useful optimizations. By analyzing the behavior of the host program around the database access operations, it is possible to discover patterns such as filtering, joins and aggregative operations. It is then possible to remove those operations from the host program and re-implement them in the target database query language. This paper describes an automatic system, called MIDAS (MIgrator of Database Application Systems), that performs high-quality reengineering of legacy database programs in this way. The results of MIDAS were found to be superior to those of the naive one-to-one translation in terms of readability, size, speed and network data traffic.
Starting Page	90
Ending Page	97
File Size	744823
Page Count	8
File Format	PDF
ISBN	0818679611
DOI	10.1109/ASE.1997.632828
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-11-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Relational databases Object oriented modeling Spatial databases Object oriented databases Pattern analysis Filtering Application software Computer science Electronic mail Database languages
Content Type	Text
Resource Type	Article

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