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Explain the Throw away prototype
In this technique, prototype is discarded once its purpose is fulfilled and final system is built from scratch. Prototype is built quickly to allow the user to rapidly interact with a working system. As prototype has to be eventually discarded, attention on its speed, maintainability, implementation aspects and fault tolerance isn't paid. In requirements defining phase, a less refined set of requirements are quickly defined and throw away prototype is constructed to determine feasibility of requirement, validate utility of function, uncover missing requirements and establish utility of user interface. Duration of prototype building must be as less as possible since its advantage exists only if results from its use are available in timely fashion.
What is a boundary value analysis? A boundary value analysis is a testing procedure by which the elements at the edge of the domain are selected and tested. It is a test case d
Discuss in detail about Delphi Method. Procedure The co-ordinator represents a specification and assessment form to each expert. Co-ordinator calls a group discussion
Question 1: We have a small system with a call graph as given below. Consider that each vertex is a module. All modules are new (i.e., n = n0) Also consider that the number of
Discuss spiral model for software life cycle SPIRAL MODEL The spiral model is classified into number of frame works. These frameworks are represented by task regions.
Define the meaning of Code Inspection - A formal testing technique where programmer reviews source code with a group who ask questions analyzing program logic, analyzing code
Stochastic testing is the similar as "monkey testing", but stochastic testing is a lot more technical sounding name for the similar testing process.
The operational methods and processes used to achieve quality requirements.
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Q. What is RE-ENGINEERING? RE-ENGINEERING :- It is re-organizing as well as modifying existing system to make them more maintainable. It involves Source code translatio
explain why older data models are being replaced by new data models.
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