Context-Aware Privacy Design Pattern Selection

The purpose of this research was to apply an artificial intelligence approach to improve the efficiency of design pattern selection used in the development of object-oriented software. Design patterns provide a potential solution to the limitations occurring with traditional software design approaches. Current methods of design pattern selection tend to be intuitive, and based on the experience of the individual software engineer. This expertise is very specialized and frequently unavailable to many software development organizations. A prototype expert system was developed in order to automate this process of selecting suitable patterns to be applied to the design problem under consideration. It guides the designer through the pattern selection process through inquiry regarding the nature of the design problem. The prototype system also provides the capabilities to browse patterns, view the relationship between patterns, and generate code based on the pattern selected. The routine application of such a system is viewed as a means to improve the productivity of software development by increasing the use of accepted design patterns.

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Context-aware design pattern for situated analytics: Blended Model View Controller

Journal of Visual Languages & Computing ◽

10.1016/j.jvlc.2017.11.001 ◽

2018 ◽

Vol 44 ◽

pp. 1-12 ◽

Cited By ~ 4

Author(s):

Neven A.M. ElSayed ◽

Ross T. Smith ◽

Kim Marriott ◽

Bruce H. Thomas

Keyword(s):

Design Pattern ◽

Context Aware ◽

Model View Controller ◽

Model View

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Development of an Intelligent Information Systems for Object-Oriented Software Design

Intelligent Information Technologies ◽

10.4018/978-1-59904-941-0.ch041 ◽

2011 ◽

pp. 698-710

Author(s):

Gary P. Moynihan ◽

Bin Qiao ◽

Matthew E. Elam ◽

Joel Jones

Keyword(s):

Software Development ◽

Software Design ◽

Design Problem ◽

Design Pattern ◽

Design Patterns ◽

Object Oriented ◽

Pattern Selection ◽

Prototype System ◽

Intelligent Information ◽

The Individual

The purpose of this research was to apply an artificial intelligence approach to improve the efficiency of design pattern selection used in the development of object-oriented software. Design patterns provide a potential solution to the limitations occurring with traditional software design approaches. Current methods of design pattern selection tend to be intuitive, and based on the experience of the individual software engineer. This expertise is very specialized and frequently unavailable to many software development organizations. A prototype expert system was developed in order to automate this process of selecting suitable patterns to be applied to the design problem under consideration. It guides the designer through the pattern selection process through inquiry regarding the nature of the design problem. The prototype system also provides the capabilities to browse patterns, view the relationship between patterns, and generate code based on the pattern selected. The routine application of such a system is viewed as a means to improve the productivity of software development by increasing the use of accepted design patterns.

Download Full-text