IDEAS home Printed from https://ideas.repec.org/a/ath/journl/v60y2020i4p9-21.html
   My bibliography  Save this article

Polymorphism Of Classes And Reference Of Instances Distribution For Economic Objects In Applications

Author

Listed:
  • Emilia VASILE

    (Athenaeum University, Bucharest, Romania)

  • DănuÅ£-Octavian SIMION

    (Athenaeum University, Bucharest, Romania)

Abstract

The paper presents the polymorphism of classes and reference of instances distribution for economic objects in applications. Data stored in a database is persistent data, ie data that remains stored on magnetic media, independent of the execution of application programs. Persistent database data is entered, deleted, or updated using input data (from the keyboard, from reading data files, or from receiving messages). Input data is generally non-persistent data; they are generated by users and are stored (becoming persistent data) only after they have been validated (accepted) by the DBMS. The output data of a database system is also non-persistent data; they come from database query operations and are made available to the user (in the form of impressions, printed reports, etc.). The correspondent model for database tables and entities are classes that encapsulate properties and methods. Data - acts as a bridge between machine components (hardware and software) and the human component. The database contains both operational data (the set of records being worked on) and metadata. Polymorphism can obtain new objects derived from existing classes that map custom business logic which includes specific economic operations. The data model is defined as a set of concepts used in the description of the data structure. The structure of the database means the type of data, the connection between them, the restrictions applied to the data.

Suggested Citation

  • Emilia VASILE & DănuÅ£-Octavian SIMION, 2020. "Polymorphism Of Classes And Reference Of Instances Distribution For Economic Objects In Applications," Internal Auditing and Risk Management, Athenaeum University of Bucharest, vol. 60(4), pages 9-21, December.
  • Handle: RePEc:ath:journl:v:60:y:2020:i:4:p:9-21
    as

    Download full text from publisher

    File URL: http://aimr.univath.ro/download/1235_001EVS.pdf
    Download Restriction: no

    File URL: http://aimr.univath.ro/en/article/POLYMORPHISM-OF-CLASSES-AND-REFERENCE-OF-INSTANCES-DISTRIBUTION-FOR-ECONOMIC-OBJECTS-IN-APPLICATIONS~1235.html
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    polymorphism; specific classes; economical data; derived classes; business flows; application modules; analysis of data;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ath:journl:v:60:y:2020:i:4:p:9-21. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Cosmin Catalin Olteanu and Emilia Vasile (email available below). General contact details of provider: https://edirc.repec.org/data/feathro.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.