The Role of Implicit Schema Constructs in Data Quality

Anthony Cleve, Jonathan Lemaitre, Jean-Luc Hainaut, Christophe Mouchet, Jean Henrard

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution


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 constraints that have not been explicitly declared in the database schema, using program analysis techniques. These constructs then serve as a basis for detecting data inconsistencies, identifying unsafe program fragments, and proposing necessary improvements at both the database and program sides.
Original languageEnglish
Title of host publicationProceedings of the 6th International Workshop on Quality in Databases (QDB @VLDB 2008)
EditorsAnder de, Keijzer Maurice, van Keulen, Paolo Missier, Xuemin Lin
Place of PublicationTwente, The Netherlands
PublisherCenter for Telematics and Information Technology (CTIT)
Number of pages8
VolumeWP 08-02
ISBN (Print)ISSN 0929-0672
Publication statusPublished - 2008


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  • Evolution: Evolution

    Cleve, A.


    Project: Research Axis

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