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Evolutionary prototyping: Evolutionary Prototyping (also called as breadboard prototyping) is quite dissimilar from Throwaway Prototyping. The main goal when using Evolutionary Prototyping is to build a very robust prototype in a structured manner and constantly refine it. The reason for this is that the Evolutionary prototype, when built, forms the heart of the latest system, and the improvements and further requirements will be built
Types of coupling are:- A) Data coupling B) Stamp coupling C) Control coupling D) External coupling E)Common coupling F) Content coupling
Iterative Enhancement Model This model was developed to remove disadvantages of waterfall model. In this model, phases of software development remain the same however the cons
What is meant by software change? Once software is ready to use, new requirement appear and existing requirements change as the business running that software changes parts of
What are the advantages of Software maintenance Software maintenance is a very broad activity which includes error correction, deletion of obsolete capabilities, enhancement of
Q. Describe the various types of restructuring techniques? Ans. Software restructuring modifies source code as well as data an effort to make it amenable to future changes
What transform mapping refers? The transform mapping is a bundle of design steps applied on the DFD in order to map the transformed flow characteristics into specific architect
Define Data Dictionary. The data dictionary can be explained as an organized collection of all the data elements of the system with precise and rigorous explanations so that us
What is the use of Architectural design? The Architectural design explains the relationship among major structural elements of the software, the "design patterns" that can be u
Documentation specifying the scope, approach, resources, and schedule of intended testing activities. It signifies test items, the features to be tested, the testing tasks, respons
List the guidelines for data design. i. Apply systematic analysis on data. ii. Determine data structures and related operations. iii. Establish data dictionary. iv. Us
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