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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.
Explain in detail about Structural Modelling. Structural model contains a detail refinement of ERD, data flow model and control flow model. Creating an ERD. Examp
Define software prototyping. Software prototyping is explained as a rapid software development for validating the requirements.
Question : (a) What are the main characteristics of an ERP system? List the benefits and disadvantages of implementing an ERP system at Hawkins Cookers Ltd. (b) Explain the
Define Fan-in and Fan-out Fan-out: A measure of the number of modules which are directly maintained by another module. Fan-in: Indicates that how many modules directly main
Q. What do you understand by Software Crisis? Ans) Organizations are spending much larger portions of their budget on software. Not only are the software turning out to be more
Define about the Software Development Life Cycle The different steps (known as phases) that are adopted in development of this process are collectively called as Software Devel
Objectives of Data dictionaries:- 1) A standard definition of every terms in a system that is each item of data is uniquely identified and defined. 2) Simple cross-referenci
Explain the role and functions of a Systems Analyst in the overall project development.
Boundary Value Analysis: It's widely examined that input values at the extreme ends of input domain cause more errors in system. More application errors happen at the boundaries
What is data modeling? Data modeling is the basic step in the analysis modeling. In data modeling the data objects are explained independently of processing. The data model sho
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