Ad
related to: how to encapsulate data analysis in access
Search results
Results from the WOW.Com Content Network
Encapsulation also protects the integrity of the component, by preventing users from setting the internal data of the component into an invalid or inconsistent state. Another benefit of encapsulation is that it reduces system complexity and thus increases robustness, by limiting the interdependencies between software components.
In software systems, encapsulation refers to the bundling of data with the mechanisms or methods that operate on the data. It may also refer to the limiting of direct access to some of that data, such as an object's components. [1] Essentially, encapsulation prevents external code from being concerned with the internal workings of an object.
The Data Manager module allows the user to import data from Microsoft Access, Microsoft Excel or text files and perform various preprocessing and data analysis operations. From the Data Manager, the user can load the data directly into a NeuroSolutions breadboard or use the data to create a new neural network. [citation needed]
Composition must be distinguished from subtyping, which is the process of adding detail to a general data type to create a more specific data type. For instance, cars may be a specific type of vehicle: car is a vehicle. Subtyping doesn't describe a relationship between different objects, but instead, says that objects of a type are ...
Data encapsulation, also known as data hiding, is the mechanism whereby the implementation details of a class are kept hidden from the user. The user can only perform a restricted set of operations on the hidden members of the class by executing special functions commonly called methods to prevent attributes of objects from being easily viewed and accessed.
In computer programming, field encapsulation involves providing methods that can be used to read from or write to the field rather than accessing the field directly. Sometimes these accessor methods are called getX and setX (where X is the field's name), which are also known as mutator methods.
Aspect-oriented programming aims to encapsulate cross-cutting concerns into aspects to retain modularity. This allows for the clean isolation and reuse of code addressing the cross-cutting concern. [4] By basing designs on cross-cutting concerns, software engineering benefits can include modularity and simplified maintenance. [5]
The bridge uses encapsulation, aggregation, and can use inheritance to separate responsibilities into different classes. When a class varies often, the features of object-oriented programming become very useful because changes to a program's code can be made easily with minimal prior knowledge about the program. The bridge pattern is useful ...
Ad
related to: how to encapsulate data analysis in access