• DocumentCode
    670242
  • Title

    Estimation of legacy application upgrade time using evolutionary approach

  • Author

    Fornadel, Michal ; Lacko, Peter ; Danko, Andrej

  • Author_Institution
    Fac. Inf. & Inf. Tech., Slovak Univ. of Technol., Bratislava, Slovakia
  • fYear
    2013
  • fDate
    19-21 Nov. 2013
  • Firstpage
    493
  • Lastpage
    498
  • Abstract
    The paper proposes an approach for predicting application upgrade time that is being upgraded from one version to another. The focus is primarily concentrated on applications with upgrades consisting mainly of upgrading the relational database. Chosen application databases have the same schema but the content of tables varies. Data from the upgrades are processed and the proposed solution predicting duration of upgrade for the database which is set to be upgraded provides an estimation whose accuracy is dependent on the number of performed upgrades. The solution is demonstrated on particular enterprise application.
  • Keywords
    enterprise resource planning; evolutionary computation; relational databases; enterprise application databases; evolutionary approach; legacy application upgrade time estimation; legacy application upgrade time prediction; relational database; Accuracy; Biological cells; Business; Databases; Equations; Estimation; Mathematical model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Informatics (CINTI), 2013 IEEE 14th International Symposium on
  • Conference_Location
    Budapest
  • Print_ISBN
    978-1-4799-0194-4
  • Type

    conf

  • DOI
    10.1109/CINTI.2013.6705247
  • Filename
    6705247