Creating Class Diagrams

2011 ◽  
pp. 57-73
Author(s):  
Peretz Shoval
Keyword(s):  
Class Diagram ◽  
Class Diagrams ◽  
Data Requirements

This chapter discusses considerations and rules for identifying classes, attributes, relationships, and functions; and presents case study examples (problems), that is, descriptions of users’ data requirements; along with their class diagram solutions.

scholarly journals A Comparative Analysis of Two Major Approaches for Mapping the Wildland-Urban Interface: A Case Study in California

Land ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 679
Author(s):  
Avi Bar-Massada
Keyword(s):  
At Risk ◽  
Comparative Analysis ◽  
Spatial Patterns ◽  
Practical Purpose ◽  
Spatial Arrangement ◽  
Spatial Accuracy ◽  
Wildland Urban Interface ◽  
Spatial Correspondence ◽  
Data Requirements

The Wildland Urban Interface (WUI) is where human settlements border or intermingle with undeveloped land, often with multiple detrimental consequences. Therefore, mapping the WUI is required in order to identify areas-at-risk. There are two main WUI mapping methods, the point-based approach and the zonal approach. Both differ in data requirements and may produce considerably different maps, yet they were never compared before. My objective was to systematically compare the point-based and the zonal-based WUI maps of California, and to test the efficacy of a new database of building locations in the context of WUI mapping. I assessed the spatial accuracy of the building database, and then compared the spatial patterns of WUI maps by estimating the effect of multiple ancillary variables on the amount of agreement between maps. I found that the building database is highly accurate and is suitable for WUI mapping. The point-based approach estimated a consistently larger WUI area across California compared to the zonal approach. The spatial correspondence between maps was low-to-moderate, and was significantly affected by building numbers and by their spatial arrangement. The discrepancy between WUI maps suggests that they are not directly comparable within and across landscapes, and that each WUI map should serve a distinct practical purpose.

Heavyweight extension to the UML class diagram metamodel for modeling context aware systems in ubiquitous computing

2017 ◽  
Vol 13 (3) ◽  
pp. 238-251 ◽  
Author(s):  
Haider Boudjemline ◽  
Mohamed Touahria ◽  
Abdelhak Boubetra ◽  
Hamza Kaabeche
Keyword(s):  
Fundamental Problem ◽  
Unified Modeling Language ◽  
Class Diagram ◽  
Context Aware ◽  
User Interactions ◽  
Content Type ◽  
Unified Modeling ◽  
Development Processes ◽  
Uml Class Diagram

Purpose The development of context-aware applications in ubiquitous environments depends not only on the user interactions but also on several context parameters. The handling of these parameters is a fundamental problem in these systems. The key purpose of this work is to enrich the unified modeling language (UML) class diagram with new constructs to provide a universal model capable of coping with the context-awareness concerns. Design/methodology/approach The authors provide a review of existing context handling approaches. Afterward, they relied on the UML extensibility mechanisms to propose a heavyweight extension for the UML class diagram. This generic approach allows describing the different context parameters since the modeling phase. Findings Existing solutions for context handling apply the contextual constraints on finished applications or tend to be dependent on a specific development process. This paper presents a solution based on UML, which allows dealing with context since the modeling phase, and independently of development processes. This proposal is implemented as an eclipse editor and illustrated through a case study in the healthcare field. Originality/value This paper addresses the problem of context handling, and it presents a review of the foremost existing solutions. The paper also presents a heavyweight extension for the UML class diagram, which consists in enriching it with additional constructs, capable of monitoring how applications are linked to context parameters and how the values of these parameters may affect the application behavior.

scholarly journals Case study: Class diagram restructuring

2013 ◽  
Vol 135 ◽  
pp. 8-15 ◽  
Author(s):  
K. Lano ◽  
S. Kolahdouz Rahimi
Keyword(s):  
Class Diagram

Mapping Class Diagrams to Relational Schemas

2011 ◽  
pp. 103-123
Author(s):  
Peretz Shoval
Keyword(s):  
Mapping Class ◽  
Class Diagram ◽  
Relational Schema ◽  
Relational Schemas ◽  
Mapping Rules ◽  
Mapping Process ◽  
Class Diagrams

This chapter first explains the need to map a class diagram to a relational schema. Then, most of the chapter is dedicated to presenting and demonstrating the mapping rules based on which a relational schema (made of normalized relations) is created. The mapping process is demonstrated with several comprehensive examples.

Data-Aware Distributed Batch Scheduling

2009 ◽  
pp. 41-48
Author(s):  
Tevfik Kosar
Keyword(s):  
Data Placement ◽  
Distributed Applications ◽  
Complex Data ◽  
Data Handling ◽  
Future Trends ◽  
Distributed Computing Systems ◽  
Computing Systems ◽  
Computation Data ◽  
Data Requirements

As the data requirements of scientific distributed applications increase, the access to remote data becomes the main performance bottleneck for these applications. Traditional distributed computing systems closely couple data placement and computation, and consider data placement as a side effect of computation. Data placement is either embedded in the computation and causes the computation to delay, or performed as simple scripts which do not have the privileges of a job. The insufficiency of the traditional systems and existing CPU-oriented schedulers in dealing with the complex data handling problem has yielded a new emerging era: the data-aware schedulers. This chapter discusses the challenges in this area as well as future trends, with a focus on Stork case study.

The Application of FOOM Methodology to IFIP Conference Case Study

2003 ◽  
pp. 82-95
Author(s):  
Judith Kabeli ◽  
Peretz Shoval
Keyword(s):  
Functional Analysis ◽  
Information Systems ◽  
Object Oriented ◽  
Class Diagram ◽  
Design Phase ◽  
Complete Class ◽  
Analysis And Design ◽  
Systems Analysis And Design ◽  
Flow Diagrams

FOOM (Functional and Object-Oriented Methodology) is an integrated methodology for information systems’ analysis and design, which combines two essential software-engineering paradigms: the functional/data approach (or process-oriented) and the object-oriented (OO) approach. Having applied FOOM in a variety of domains, this chapter presents the application of the methodology to the specification of the IFIP Conference system. We focus on the analysis and design phases. FOOM-analysis phase includes data modeling and functional analysis activities and produces an initial Class Diagram and a hierarchy of OO data flow diagrams (OO-DFDs). The products of the design phase include: (a) a complete class diagram; (b) object classes for the menus, forms and reports and (c) a behavior schema, which consists of detailed descriptions of the methods and the application transactions, expressed in pseudocode and message diagrams.

Data Model Support to Assist the Concurrent Design of Injection Plastic Parts and Their Moulds

2003 ◽  
Author(s):  
He´ctor Morano ◽  
Vicente Borja ◽  
Marcelo Lo´pez ◽  
A´lvaro Ayala
Keyword(s):  
Data Model ◽  
Data Models ◽  
Concurrent Design ◽  
Software Applications ◽  
Product Models ◽  
Plastic Parts ◽  
Design And Manufacture ◽  
Data Requirements ◽  
Model Support

Product models come from the analysis of data requirements to support product design and manufacture. These models are implemented in databases aimed at providing information to software applications that assist the concurrent design of products. This paper presents the specifications of data models to assist the concurrent design of injection plastic parts and their moulds. The product models are original since they capture part and mould life cycle aspects using the same data structure. The models also link product functional information to the design process and consider the capacities of an injection machine. The paper introduces the underlined structure of the above mentioned data models and uses a case study to show their capabilities. Finally, some conclusions are presented.

Airstrip Site Selection in Coastal Labrador

1981 ◽  
Vol 35 (1) ◽  
pp. 17-25
Author(s):  
J. D. Innes ◽  
E. H. Smith ◽  
Allan Fiander
Keyword(s):  
Site Selection ◽  
Coastal Area ◽  
State Of The Art ◽  
Selection Process ◽  
Geometric Design ◽  
Digital Mapping ◽  
Data Requirements ◽  
Selection Of ◽  
Design Techniques

This paper examines a case study of the selection of nine airstrip sites in the coastal area of Labrador. The procedure used involved the procurement of better mapping for the site selection process. The benefits of this process are examined in the context of the data requirements for good airstrip selection. The site selection process is then examined utilizing state of the art digital mapping and computerized geometric design techniques.

Measuring Wildfire Impacts: Method and Case Study

1987 ◽  
Vol 11 (3) ◽  
pp. 143-147
Author(s):  
W. L. Mills ◽  
S. D. Shnitzler ◽  
R. S. Meldahl
Keyword(s):  
Economic Impact ◽  
Cash Flow ◽  
Flow Model ◽  
Growth And Yield ◽  
Timber Production ◽  
Discounted Cash Flow ◽  
The Impact ◽  
Data Requirements

Abstract A discounted cash flow model called the Impact Appraisal Model (IAM) computes the economic impact due to a change in timber production caused by a wildfire. Data requirements for the IAM can be obtained using standard inventory procedures to estimate the pre- and post-fire stand conditionsneeded to initiate a growth and yield simulator. The model is demonstrated using five loblolly plantations that burned in 1980 and 1981. South. J. Appl. For. 11(3):143-147.

scholarly journals Enhancing the Robustness of Causal Claims Based on Case Study Research on Conflict Zones: Observations from Fieldwork in Donbas

2020 ◽  
pp. 1-20
Author(s):  
Stefan Wolff
Keyword(s):  
Case Studies ◽  
Best Practice ◽  
Case Study Research ◽  
Process Tracing ◽  
Case Study Method ◽  
Causal Inferences ◽  
Conflict Zones ◽  
Central Case ◽  
Data Requirements

Abstract Focusing on process tracing and using the example of fieldwork in Donbas, I develop an argument on what theoretically grounded and empirically detailed methodological solutions can be considered to mitigate the challenges of research on conflict zones and assure the robustness of any causal claims made. I first outline my assumptions about process tracing as the central case study method and its application to research on conflict zones, and then discuss in more detail data requirements, data collection, and data analysis. Using two examples of case studies on the war in and over Donbas, I illustrate how three standards of best-practice in process tracing—the need for a theory-guided inquiry, the necessity to enhance causal inference by paying attention to (and ruling out) rival explanations, and the importance of transparency in the design and execution of research—can be applied in the challenging circumstances of fieldwork-based case studies of conflict zones. I conclude by suggesting that as a minimum threshold for reliance upon causal inferences, these three standards also should align with a standard of evidence that requires both the theoretical and empirical plausibility of any conclusions drawn.

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