• DocumentCode
    2858728
  • Title

    Identification of Relational Discrepancies between Database Schemas and Source-Code in Enterprise Applications

  • Author

    Marinescu, Cristina

  • Author_Institution
    Politehnica Univ. of Timisoara, Timisoara
  • fYear
    2007
  • fDate
    26-29 Sept. 2007
  • Firstpage
    93
  • Lastpage
    100
  • Abstract
    As enterprise applications become more and more complex, the understanding and quality assurance of these systems become an increasingly important issue. One specific concern of data reverse engineering, a necessary process for this type of applications which tackles the mentioned aspects, is to retrieve constraints which are not explicitly declared in the database schema but verified in the code. In this paper we propose a novel approach for detecting the relational discrepancies between database schemas and source-code in enterprise applications, as part of the data reverse engineering process. Detecting and removing these discrepancies allows us to ensure the accuracy of the stored data as well as to increase the level of understanding of the data involved in an enterprise application.
  • Keywords
    business data processing; relational databases; reverse engineering; data reverse engineering; database schemas; enterprise applications; quality assurance; relational discrepancies identification; source-code; Application software; Information retrieval; Logic programming; Logic testing; Quality assurance; Relational databases; Reverse engineering; Scientific computing; Software systems; Storage automation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Symbolic and Numeric Algorithms for Scientific Computing, 2007. SYNASC. International Symposium on
  • Conference_Location
    Timisoara
  • Print_ISBN
    978-0-7695-3078-8
  • Type

    conf

  • DOI
    10.1109/SYNASC.2007.9
  • Filename
    4438084