Name
Abstract | ||
|---|---|---|
Database applications constitute a large portion of the software systems. This paper proposes a novel graph called attribute dependency graph to show the dependencies between attributes in a database application and also the programs involved. We propose an approach to automatically extract the attribute dependency graph through analyzing the source code of database applications. The extracted information can be used in the maintenance process particularly in the impact analysis upon modification of a database application. A tool has been developed to implement the proposed approach for PHP-based database applications. Case studies have also been conducted to demonstrate the use of our proposed approach. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/APSEC.2011.10 | APSEC |
Keywords | Field | DocType |
software system,php-based database application,impact analysis,attribute dependency graph,database application,large portion,database applications,case study,maintenance process,novel graph,database management systems,software systems,extraction,graph theory,information retrieval,source code | Graph theory,Data mining,Graph database,Information retrieval,Computer science,Functional dependency,Software system,Wait-for graph,Database application,Database theory,Dependency graph,Database | Conference |
ISSN | Citations | PageRank |
1530-1362 | 2 | 0.37 |
References | Authors | |
14 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kaiping Liu | 1 | 13 | 5.33 |
| Hee Beng Kuan Tan | 2 | 489 | 45.05 |
| Chen Xu | 3 | 89 | 17.69 |