Plagiarism Detection Tool for Enhanced Entity-Relationship Diagrams

It is generally accepted in the information system (IS) field that IS quality is highly dependent on the decisions made early in the development life cycle. The construction of conceptual data models is often an important task of this early development. Therefore, improving the quality of conceptual data models will be a major step towards the quality improvement of the IS development. Several quality frameworks for conceptual data models have been proposed, but most of them lack valid quantitative measures in order to evaluate the quality of conceptual data models in an objective way. In this article we will define measures for the structural complexity (internal attribute) of entity relationship diagrams (ERD) and use them for predicting their maintainability (external attribute). We will theoretically validate the proposed metrics following Briand et al.'s framework with the goal of demonstrating the properties that characterise each metric. We will also show how it is possible to predict each of the maintainability sub-characteristics using a prediction model generated using a novel method for induction of fuzzy rules.

Download Full-text

Entity-relationship diagrams

The Information System Consultant's Handbook ◽

10.1201/9781420049107.ch26 ◽

1998 ◽

Cited By ~ 2

Author(s):

William Davis ◽

David Yen

Keyword(s):

Entity Relationship ◽

Entity Relationship Diagrams

Download Full-text

Issues and Guidelines in Modeling Decomposition of Minimum Participation in Entity-Relationship Diagrams

Communications of the Association for Information Systems ◽

10.17705/1cais.02909 ◽

2011 ◽

Vol 29 ◽

Author(s):

Cecil Chua ◽

Veda C. Storey

Keyword(s):

Entity Relationship ◽

Entity Relationship Diagrams

Download Full-text

Web Application for Model, Share and Conversion of Entity-relationship Diagrams for Person Visually Impaired

Proceedings of the 10th International Conference on Computer Supported Education ◽

10.5220/0006784104050411 ◽

2018 ◽

Cited By ~ 1

Author(s):

Rafael Silva Santos da Paixão ◽

Claudia Pinto Pereira

Keyword(s):

Web Application ◽

Visually Impaired ◽

Entity Relationship ◽

Entity Relationship Diagrams

Download Full-text

Mapping Uninterpreted Schemes into Entity-Relationship Diagrams: Two Applications to Conceptual Schema Design

IBM Journal of Research and Development ◽

10.1147/rd.281.0082 ◽

1984 ◽

Vol 28 (1) ◽

pp. 82-94 ◽

Cited By ~ 29

Author(s):

Marco A. Casanova ◽

Jose E. Amaral de Sa

Keyword(s):

Conceptual Schema ◽

Schema Design ◽

Entity Relationship ◽

Entity Relationship Diagrams

Download Full-text

Information Technology Transfer in Econometric Forecasting: A Pictorial Approach

Journal of Information Technology ◽

10.1177/026839629300800102 ◽

1993 ◽

Vol 8 (1) ◽

pp. 3-13

Author(s):

P. Pete Chong ◽

Ye-Sho Chen ◽

James M. Pruett

Keyword(s):

Information Technology ◽

Technology Transfer ◽

Information Exchange ◽

Management Tool ◽

Task Management ◽

System Maintenance ◽

Concise Information ◽

Entity Relationship ◽

Entity Relationship Diagrams

Successful information technology transfer requires effective communication and clear, concise information exchange. This paper, using the Louisiana econometric model as a case study, proposes a pictorial approach to present and manage complex factors essential to information technology transfer. The approach utilizes multi-layer entity-relationship diagrams to provide a meaningful framework for the entire forecasting process, provide clarity to ensure better model maintenance when changes in social/economic structures require reformulations, and provide a procedural and data dictionary for clear documentation. The pictorial approach is both intuitive and readable, capable of serving as a task management tool, a model implementation aid, and a system maintenance resource.

Download Full-text