DocumentCode :
2858728
Title :
Identification of Relational Discrepancies between Database Schemas and Source-Code in Enterprise Applications
Author :
Marinescu, Cristina
Author_Institution :
Politehnica Univ. of Timisoara, Timisoara
fYear :
2007
fDate :
26-29 Sept. 2007
Firstpage :
93
Lastpage :
100
Abstract :
As enterprise applications become more and more complex, the understanding and quality assurance of these systems become an increasingly important issue. One specific concern of data reverse engineering, a necessary process for this type of applications which tackles the mentioned aspects, is to retrieve constraints which are not explicitly declared in the database schema but verified in the code. In this paper we propose a novel approach for detecting the relational discrepancies between database schemas and source-code in enterprise applications, as part of the data reverse engineering process. Detecting and removing these discrepancies allows us to ensure the accuracy of the stored data as well as to increase the level of understanding of the data involved in an enterprise application.
Keywords :
business data processing; relational databases; reverse engineering; data reverse engineering; database schemas; enterprise applications; quality assurance; relational discrepancies identification; source-code; Application software; Information retrieval; Logic programming; Logic testing; Quality assurance; Relational databases; Reverse engineering; Scientific computing; Software systems; Storage automation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Symbolic and Numeric Algorithms for Scientific Computing, 2007. SYNASC. International Symposium on
Conference_Location :
Timisoara
Print_ISBN :
978-0-7695-3078-8
Type :
conf
DOI :
10.1109/SYNASC.2007.9
Filename :
4438084
Link To Document :
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