Name
Abstract | ||
|---|---|---|
This paper presents a comprehensive approach to legacy data quality assessment and improvement. It is based on an initial database reverse engineering phase that allows to recover implicit constructs, that is, structures and con- straints that have not been explicitly declared in the data- base schema, using program analysis techniques. These con- structs then serve as a basis for detecting data inconsisten- cies, identifying unsafe program fragments, and proposing necessary improvements at both the database and program sides. |
Year | Venue | Keywords |
|---|---|---|
2008 | QDB/MUD | data quality,program analysis,reverse engineering |
Field | DocType | Citations |
Data quality,Database reverse engineering,Information retrieval,Computer science,Database schema,Program analysis,Schema (psychology),Database | Conference | 3 |
PageRank | References | Authors |
0.39 | 23 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anthony Cleve | 1 | 139 | 14.10 |
| Jonathan Lemaitre | 2 | 8 | 1.15 |
| Jean-Luc Hainaut | 3 | 901 | 254.54 |
| Christophe Mouchet | 4 | 3 | 0.39 |
| Jean Henrard | 5 | 238 | 81.65 |