Papajorgji, Petraq J.

Software Engineering Techniques Applied to Agricultural Systems An Object-Oriented and UML Approach / [electronic resource] : by Petraq J. Papajorgji, Panos M. Pardalos. - XIV, 248 p. 177 illus. online resource. - Applied Optimization, 100 1384-6485 ; . - Applied Optimization, 100 .

Concepts and Notations -- Programming Paradigms -- Basic Principles of the Object-Oriented Paradigm -- Object-Oriented Concepts and Their UML Notation -- Relationships -- Use Cases and Actors -- UML Diagrams -- Design Patterns -- Applications -- The Kraalingen Approach to Crop Simulation -- The Plug and Play Architecture -- Soil Water-Balance and Irrigation-Scheduling Models: A Case Study -- Distributed Models -- Epilogue.

ZDB-2-SCS

Software Engineering Techniques Applied to Agricultural Systems presents cutting-edge software engineering techniques for designing and implementing better agricultural software systems based on the object-oriented paradigm and the Unified Modeling Language (UML). The book is divided in two parts: The first part presents concepts of the object-oriented paradigm and the UML notation of these concepts, and the second part provides a number of examples of applications that use the material presented in the first part. The examples presented illustrate the techniques discussed, focusing on how to construct better models using objects and UML diagrams. More advanced concepts such as distributed systems and examples of how to build these systems are presented in the last chapter of the book. The book presents a step-by-step approach for modeling agricultural systems, starting with a conceptual diagram representing elements of the system and their relationships. Furthermore, diagrams such as sequential and collaboration diagrams are used to explain the dynamic and static aspects of the software system. Audience This book is intended for anyone involved in software development projects in agriculture, including managers, team leaders, developers and modellers of agricultural and environmental systems.

9780387281711

10.1007/0-387-28171-1 doi


Computer science.
Software engineering.
Information systems.
Computer simulation.
Agriculture.
Computer Science.
Software Engineering.
Agriculture.
Information Systems Applications (incl.Internet).
Simulation and Modeling.

QA76.758

005.1