Lessons learned in data reverse engineering

Reverse Engineering - Working Conference Proceedings

Volumn , Issue , 2001, Pages 323-327

  Davis, K H ^a  

^a NORTHERN ILLINOIS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA PROCESSING; DATABASE SYSTEMS; INFORMATION RETRIEVAL; SOFTWARE ENGINEERING;

DATA REVERSE ENGINEERING;

REVERSE ENGINEERING;

EID: 0034781119     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. Migration schema mapping vs. Reverse engineering of network databases
2. Dimensions of database reverse engineering
3. The case for reverse engineering
4. How to recognize database winners and losers
5. Reverse engineering for software quality
6. Reverse engineering of relational databases: Extraction of an EER model from a relational database
7. The necessity of data reverse engineering
8. Gaining domain knowledge through. Data reverse engineering: An experience report
9. Data reverse engineering: A historical survey
10. Some experience in porting a relational database from concurrent OS32 to IBM DB2
11. Extracting business rules from legacy information systems
12. A generic approach for data reverse engineering taking into account application domain knowledge
13. DB-MAIN: A programmable CASE tool for database applications engineering
14. The nature of data reverse engineering
15. From micro-analytical techniques to mass processing in data reverse engineering - The economic challenge