Software Framework Data Based by Krätzig Markus (5 results)

Taschenbuch. Condition: Neu. A Software Framework for Data Based Analysis | Requirements Analysis, Architecture and Usage of a Powerful Open Source Framework for Data Centric Software Development in Java | Markus Krätzig | Taschenbuch | 384 S. | Englisch | 2013 | VDM Verlag Dr. Müller e.K. | EAN 9783836484558 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The use of domain specific software frameworks can significantly speed up application development because they provide ready made components as well as a reusable design. This text presents the Java framework JStatCom which evolved from experiences made during the development of JMulTi, a popular software for time series analysis. It describes in detail the requirements for such a framework and offers solutions to all recurring tasks, for example, the internal data representation of complex statistical models, the interaction between the data model and the graphical user interface, and the management of computing tasks in a multithreaded environment. Furthermore, it is described how the process of interfacing external software packages for specific numerical calculations can be standardized. An abstract interface is presented that may be used to hide the underlying complexities of data type conversions and specific calling semantics from the user of the framework. The text comes with many code examples and UML diagrams that help to understand each subsystem. Developers planning to develop data analysis software in Java can greatly benefit from this book. 384 pp. Englisch.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The use of domain specific software frameworks can significantly speed up application development because they provide ready made components as well as a reusable design. This text presents the Java framework JStatCom which evolved from experiences made dur.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The use of domain specific software frameworks can significantly speed up application development because they provide ready made components as well as a reusable design. This text presents the Java framework JStatCom which evolved from experiences made during the development of JMulTi, a popular software for time series analysis. It describes in detail the requirements for such a framework and offers solutions to all recurring tasks, for example, the internal data representation of complex statistical models, the interaction between the data model and the graphical user interface, and the management of computing tasks in a multithreaded environment. Furthermore, it is described how the process of interfacing external software packages for specific numerical calculations can be standardized. An abstract interface is presented that may be used to hide the underlying complexities of data type conversions and specific calling semantics from the user of the framework. The text comes with many code examples and UML diagrams that help to understand each subsystem. Developers planning to develop data analysis software in Java can greatly benefit from this book.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 384 pp. Englisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The use of domain specific software frameworks can significantly speed up application development because they provide ready made components as well as a reusable design. This text presents the Java framework JStatCom which evolved from experiences made during the development of JMulTi, a popular software for time series analysis. It describes in detail the requirements for such a framework and offers solutions to all recurring tasks, for example, the internal data representation of complex statistical models, the interaction between the data model and the graphical user interface, and the management of computing tasks in a multithreaded environment. Furthermore, it is described how the process of interfacing external software packages for specific numerical calculations can be standardized. An abstract interface is presented that may be used to hide the underlying complexities of data type conversions and specific calling semantics from the user of the framework. The text comes with many code examples and UML diagrams that help to understand each subsystem. Developers planning to develop data analysis software in Java can greatly benefit from this book.