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The success of a system relies on the approach of building it. If development approach is right then system will work successfully. Figure below portrays a System Development Life Cycle. System development life cycle (SDLC) is a standard methodology for development of Information System. It principally comprises four phases: System Analysis, System Design, System Construction & Implementation and System Support. Each phase comprises inputs, tasks and outputs. Traditional SDLC was strictly sequential. Developers first complete the previous phase then start the subsequent phase. Though now concept of Repository is introduced in SDLC and it is termed as FAST methodology where work is done across shared repository. It means that all inputs and outputs of phases should be stored in the repository. At any instance developers can backtrack to preceding phase and they may also work on two phases concurrently.
Figure: System Development Life Cycle
There are two goals to AI; the major one is to produce an artificial system that is about as good as or good than a human being at dealing with the actual world. The second goal is
Data can be changed from special code to temporal code by using ? Ans. By using Shift Registers data can be changed from special code to temporal code. A Register wherein data ge
Performance and Issues in Pipelining Speedup: Firstly, we get the speedup factor that is we see how much speed up performance we get through pipelining. First we get the
Q. Instruction of a micro-program? A micro-instruction is an instruction of a micro-program. It specifies one or more than one micro-operations that can be executed concurrentl
Write down the basic performance equation? T=N*S/R T=processor time N=no.of instructions S=no of steps R=clock rate
Q. Show the process of message passing? The subsequent issues are determined by system in process of message passing: 1) Whether receiver is prepared to receive message
A class invariant is a condition that describes all valid states for an object. It is a logical condition to make sure the correct working of a class. Class invariants must hold wh
Perceptrons: However the weights in any ANN are usually just real numbers and the learning problem boils down to choosing the best value for each weight in the network. Becaus
Multiplication Algorithms Multiplication of the two fixed-point binary numbers in signed magnitude representation is done with paper and pencil through a process of successive
Iterative Deepening Search: So, breadth first search is always guaranteed to find a solution (if one exists), actually it eats all the memory. For the depth first search, ther
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