Name
Title | ||
|---|---|---|
Supporting the adaptation of open-source database applications through extracting data lifecycles. |
Abstract | ||
|---|---|---|
The adaptation of open-source database applications is common in the industry. Most open-source database applications are incomplete. During adaptation, users usually have to implement additional data maintenance. Hence, the completeness of an application is an important concern for the adaptation as a key factor to indicate how much additional effort is required before using a system. From our study of database applications with complete functionalities, we observe that data in a database has common patterns of lifecycles. Anomaly in data lifecycles provides a good indicator on the completeness of database applications. In this paper, we propose a novel approach to automatically extract the data lifecycles out of the source code of database applications through inter-procedural static program analysis. This representative information can benefit the adaptation of database applications specifically for selection, maintenance and extension. We have developed a tool to implement the proposed approach for PHP (Hypertext Preprocessor)-based database applications. Case studies have shown that the proposed approach is useful in assisting adaptation and detecting faults of open-source database applications. © The Institution of Engineering and Technology 2013. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1049/iet-sen.2012.0105 | Software, IET |
Field | DocType | Volume |
Database tuning,Database model,Computer science,View,Database testing,Database design,Database schema,Database theory,Database,Surrogate key | Journal | 7 |
Issue | ISSN | Citations |
4 | 1751-8806 | 0 |
PageRank | References | Authors |
0.34 | 16 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kaiping Liu | 1 | 13 | 5.33 |
| Hee Beng Kuan Tan | 2 | 489 | 45.05 |
| Xi Chen | 3 | 333 | 70.76 |