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Pure@Namur
Conference object . 1998
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Contribution for newspaper or weekly magazine . 1998
https://doi.org/10.1007/bfb005...
Part of book or chapter of book . 1998 . Peer-reviewed
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Program understanding in databases reverse engineering

Authors: Henrard, Jean; Englebert, Vincent; id_orcid 0000-0001-8201-4294; Hick, Jean-Marc; Roland, Didier; Hainaut, Jean-Luc;

Program understanding in databases reverse engineering

Abstract

The main argument of the paper is that database understanding requires sophisticated program understanding techniques, and conversely. Database reverse engineering (DBRE) can be carried out following a generic methodology, one of the phases of which consists in eliciting all the implicit and untranslated data structures and constraints. Evidences of these hidden constructs can be found by analysing how the programs are to use and create the data. Hence the need for program analysis techniques such as searching for clichés, dependency analysis, program slicing and synthetic views. The paper explains how these techniques contribute to DBRE, and describes DB-MAIN, a programmable and extensible CASE environment that supports DBRE through program understanding techniques.

Country
Belgium
Related Organizations
Keywords

CASE tools, program slicing, data reverse engineering, methodology, dependency graph, program understanding, database

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Average
Top 10%
Average