Paper Info
Title
Dynamic Analysis of SQL Statements for Data-Intensive Applications Reverse Engineering
Abstract
Analyzing SQL statements brings invaluable information that can be used in various applications such as program understanding and database reverse engineering. While static SQL statements are fairly easy to analyze, dynamic SQL statements most often require dynamic analysis techniques that may prove more difficult to implement. This paper addresses the problem of dynamic SQL query analysis in the context of software and database reverse engineering. It explores the use of dynamic analysis techniques such as aspect-based tracing and SQL trace analysis for extracting implicit information about both the program behavior and the database structure.
Year
DOI
Venue
2008
10.1109/WCRE.2008.38
Antwerp
Keywords
Field
DocType
SQL,information retrieval,query processing,reverse engineering,SQL statements,SQL trace analysis,aspect-based tracing,database reverse engineering,dynamic SQL query analysis,dynamic analysis techniques,software reverse engineering,Dynamic analysis,SQL,aspects,data reverse engineering,program comprehension
SQL,Programming language,Stored procedure,Business Intelligence Markup Language,Computer science,Language Integrated Query,Data definition language,Data Transformation Services,User-defined function,Query by Example
Conference
ISSN
ISBN
Citations 
1095-1350
978-0-7695-3429-9
16
PageRank 
References 
Authors
0.70
9
2
Name
Order
Citations
PageRank
Anthony Cleve1160.70
Jean-Luc Hainaut2901254.54