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

2011 ◽  
Vol 29 ◽  
Author(s):  
Cecil Chua ◽  
Veda C. Storey
Keyword(s):  
Entity Relationship ◽  
Entity Relationship Diagrams

The Problem of Equivalence for Entity-Relationship Diagrams

1983 ◽  
Vol SE-9 (5) ◽  
pp. 617-630 ◽  
Author(s):  
S. Jajodia ◽  
P.A. Ng ◽  
F.N. Springsteel
Keyword(s):  
Entity Relationship ◽  
Entity Relationship Diagrams

A METRIC-BASED APPROACH FOR PREDICTING CONCEPTUAL DATA MODELS MAINTAINABILITY

2001 ◽  
Vol 11 (06) ◽  
pp. 703-729 ◽  
Author(s):  
MARIO PIATTINI ◽  
MARCELA GENERO ◽  
LUIS JIMÉNEZ
Keyword(s):  
Structural Complexity ◽  
Data Models ◽  
Major Step ◽  
Development Life Cycle ◽  
Novel Method ◽  
Is Development ◽  
Entity Relationship ◽  
Conceptual Data ◽  
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.

Information Technology Transfer in Econometric Forecasting: A Pictorial Approach

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.

Using Iconic Graphics in Entity-Relationship Diagrams

2008 ◽  
Vol 19 (3) ◽  
pp. 22-41 ◽  
Author(s):  
Kamal Masri ◽  
Drew Parker ◽  
Andrew Gemino
Keyword(s):  
Entity Relationship ◽  
Entity Relationship Diagrams

Towards a complete conceptual model: Petri nets and entity-relationship diagrams

1993 ◽  
Vol 18 (5) ◽  
pp. 275-298 ◽  
Author(s):  
Carlos A Heuser ◽  
Eduardo Meira Peres ◽  
Gernot Richter
Keyword(s):  
Petri Nets ◽  
Conceptual Model ◽  
Entity Relationship ◽  
Entity Relationship Diagrams

scholarly journals DASHBOARD INFORMATION SYSTEM OF PEMINJAMAN UANG (PINANG) APPLICATION

2020 ◽  
Vol 3 (1) ◽  
pp. 67-76
Author(s):  
Andiani Andiani ◽  
M. Farhan Zidni L.
Keyword(s):  
Information System ◽  
Data Monitoring ◽  
Use Case ◽  
Sequence Diagrams ◽  
Activity Diagrams ◽  
Uml Diagrams ◽  
Class Diagrams ◽  
Android Operating System ◽  
Entity Relationship ◽  
Entity Relationship Diagrams

Pinang is a digital application-based BRI Agro product that runs on the Android operating system, wherewith this application customers can apply for loans without collateral digitally, anywhere, and anytime. Of course, we need a system that can help the process of managing data from Pinang customers, starting from adding company cooperation with the Pinang application to maintaining and monitoring the system. So a Pinang dashboard information system is needed that can assist in the operation of the Pinang application that is capable of managing data, monitoring, and maintenance if there are problems in the Pinang application borrowing process. The Pinang dashboard can make it easier to manage, monitor, and provide information related to the Pinang application, including customer status, whitelist, repayment, disbursement, outstanding, ID card approval, and report withdrawal. The areca dashboard is built using the waterfall method, this method in its design uses UML diagrams, use case diagrams, activity diagrams, sequence diagrams, class diagrams, and entity-relationship diagrams (ERD). The implementation of making Pinang dashboards uses the Golang programming language, Node Js, React Js, keycloak, and the PostgreSQL database. With the Pinang Dashboard, it is hoped that it can facilitate the operational team in maintaining the Pinang application and building a system that can manage, monitor, and provide information related to the Pinang application.  

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