A conceptual approach to database applications evolution
ER'10 Proceedings of the 29th international conference on Conceptual modeling
Fault localization for data-centric programs
Proceedings of the 19th ACM SIGSOFT symposium and the 13th European conference on Foundations of software engineering
Database semantics recovery through analysis of dynamic SQL statements
Journal on data semantics XV
Extending ER models to capture database transformations to build data sets for data mining
Data & Knowledge Engineering
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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.