Identification of relational discrepancies between database schemas and source-code in enterprise applications

Proceedings - 9th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2007

Volumn , Issue , 2007, Pages 93-100

  Marinescu, Cristina ^a  

^a POLITEHNICA UNIVERSITY OF TIMISOARA   (Romania)

Author keywords

Data reverse engineering; Enterprise applications; Meta models; Quality methods

Indexed keywords

CODES (SYMBOLS); QUALITY ASSURANCE; REVERSE ENGINEERING;

DATA REVERSE ENGINEERING; DATABASE SCHEMAS; ENTERPRISE APPLICATIONS; META MODEL; QUALITY METHODS; SOURCE CODES;

DATABASE SYSTEMS;

EID: 48049086131     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SYNASC.2007.9     Document Type: Conference Paper

References (19)

1. S.W. Ambler and P.J. Sadalage. Refactoring Databases: Evolutionary Database Design. Addison-Wesley, 2006.
2. G. Arévalo, S. Ducasse, and O. Nierstrasz. Lessons learned in applying formal concept analysis to reverse engineering. In Proc. International Conference on Formal Concept Analysis, 2005.
3. C. Bauer and G. King. Java Persistance with Hibernate. Manning Publications, 2007.
4. E. Chikofsky. The Necessity of Data Reverse Engineering - Preface to Data Reverse Engineering: Slaying the Legacy Dragon. McGraw-Hill, 1996.
5. A. Cleve, J. Henrard, and J.L. Hainaut. Data reverse engineering using system dependency graphs. In Proc. Working Conference on Reverse Engineering, 2006.
6. I. de Guzman, M. Polo, and M. Piattini. An integrated environment for reengineering. In Proc. IEEE International Conference on Software Maintenance, 2005.
7. C. Baragoin et al. DB2 Cube Views: A Primer. IBM International Technical Support Organization, 2003.
8. K. Brown et al. Enterprise Java Programming with IBM Websphere. Addison-Wesley, 2001.
9. M. Fowler. Patterns of Enterprise Application Architecture. Addison-Wesley, 2003.
10. J.L. Hainaut, J. Henrard, J.M. Hick, D. Roland, and V. Englebert. The nature of data reverse engineering. In Proc. Data Reverse Engineering Workshop, 2000.
11. W. Keller. Mapping objects to tables: A pattern language. In Proc. European Conference on Pattern Languages of Programs, 1997.
12. M. Lanza and R. Marinescu. Object-Oriented Metrics in Practice. Springer Verlag, 2006.
13. C. Marinescu. Identification of design roles for the assessment of design quality in enterprise applications. In Proc. IEEE International Conference on Program Comprehension, 2006.
14. C. Marinescu and I. Jurca. A meta-model for enterprise applications. In Prot: International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC). IEEE Computer Society Press, 2006.
15. C. Marinescu, R. Marinescu, P.F. Mihancea, D. Raţiu, and R. Wettel. iPlasma: An integrated platform for quality assessment of object-oriented design. In Proc: IEEE International Conference on Software Maintenance (Industrial and Tool Volume), 2005.
16. C. Nock. Data Access Patterns: Database Interactions in Object-Oriented Applications. Addison-Wesley, 2003.
17. J. Poole, D. Chang, D. Tolbert, and D. Mellor. Common Warehouse Metamodel: An Introduction to the Standard for Data Warehouse integration. John Wiley & Sons, 2001.
18. D. Raţiu. Memoria: A Unified Meta-Model for Java and C++. Master Thesis, Politehnica University of Timişoara, 2004.
19. D. Ratiu and F. Deissenboeck. How programs represent reality (and how they don't). In Proc. Working Conference on Reverse Engineering, 2006.