• DocumentCode
    1572365
  • Title

    An Effort-Based Approach to Measure Completeness of an Entity-Relationship Model

  • Author

    Hussain, Tauqeer ; Awais, Mian M.

  • Author_Institution
    Central Punjab Univ., Lahore
  • fYear
    2008
  • Firstpage
    463
  • Lastpage
    468
  • Abstract
    For developing good quality information systems, the need of developing good quality conceptual models cannot be over emphasized. Completeness is an important characteristic that determines the quality of a conceptual model. To measure completeness, metrics called Completeness Index (CI) and Fuzzy Completeness Index (FCI) have been proposed in research. These metrics correspond to the extent functional dependencies are represented in a conceptual model, hi this paper, we propose an approach that takes into account the effort required to make a conceptual model complete. The higher the effort, the less is the degree of completeness. A metric Effort-based Completeness Index ECI is proposed accordingly. Although metrics previously proposed have an implicit relationship with the required effort, ECI provides the basis to explicitly relate completeness with the effort. Also, the method of computing ECI is simpler. In the proposed approach, first the effort based upon number of changes required to introduce a functional dependency in a given model is computed. Then the total effort for all functional dependencies in the problem domain determines ECI. hi this paper, ECI is calculated for different conceptual models and compared with corresponding CI and FCI values. It is illustrated that the proposed approach can easily be applied to practical problems in which alternative designs of the same problem are to be compared objectively in order to identify the one having better quality.
  • Keywords
    database indexing; entity-relationship modelling; completeness metrics; conceptual model; effort-based completeness index; entity-relationship model; functional dependency; fuzzy completeness index; information systems; Conference management; Erbium; Fault detection; Fuzzy logic; Information science; Management information systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Science, 2008. ICIS 08. Seventh IEEE/ACIS International Conference on
  • Conference_Location
    Portland, OR
  • Print_ISBN
    978-0-7695-3131-1
  • Type

    conf

  • DOI
    10.1109/ICIS.2008.108
  • Filename
    4529862