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Title |
Adaptive Reusability Risk Analysis Model (ARRA) |
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Author |
G.Singaravel, V.Palanisamy, A.Krishnan |
| Citation |
Vol. 10 No. 2 pp. 97-101 |
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Abstract |
Software Engineering is a quality software producing strategy. In which software development life cycle involves a sequence of different activities during the development process. Coding is the process of execution of the software with sample data to ensure that the software works correctly without any opposite motion of risk. Risk analysis is an uninfluenced process to find out any error in software development life cycle as a precaution for risk in software projects. Object Oriented Program is different from the former because of its special features such as Polymorphism, Inheritance, Data Abstraction, and Encapsulation. Besides, in Object oriented language it is easy to identify the relationship between the object, element, attributes etc., Reusability is a precedent to the transformation process of the objects from one project to another with similar properties. Risk analysis helps to avoid the adaptive reusability problem for transformation of coding. Its main feature is that it encourages the concept of reusability which paves the way for use of functions and packages. But certain risk might occur during coding phase of programming in this methodology. This research work has hence resulted in the design and development of an analysis model termed as ARRA to deal with this problem. This innovative model ARRA would be useful for reducing the coding risk for software development team which is particularly working under the C++, Java, Objective-C and Smalltalk platform environment. |
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Keywords |
Software Engineering, Risk Analysis, Object Oriented programming, Set Theory |
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