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When should you stop testing?
It is quite complex to determine as many modern software applications are so complex and run in like an interdependent environment that complete testing is never possible.
Though, common factors which help in deciding when to stop are:
- Deadlines to release or test are over.
- Test cases are done with certain percentage passed
-Test budget is over
- Coverage of code/functionality/requirements has reached a specified point
- Bug rate is below an assured level
- Beta or alpha testing period has ended
Q. Illustrate program on hypothetical machine? The program given in figure above is a hypothetical program which performs addition of numbers stored from locations 2001 onwards
explain associative mapping
Expain the working of associative memory
1. Start to make the verification point. 2. In the confirmation Point Name dialog box, select Apply wait state to confirmation point. 3. Type values for the following option
Give the example of Spreadsheet By selecting cell C1 and dragging the formula down to C5 the below formulae will be replicated in C2 to C5: (A2*B2), (A3*B3), (A4*B4) and (A5*B5
For this exercise you have to gather and report some linguistic data. Make sure your data are accurate by checking them with a native speaker if you yourself are not a native speak
implementation of threads
Design a BCD to seven segment decoder that accepts a decimal digit in BCS and generates the appropriate output for segments in display indicator. Ans: BCD-TO-seven-Segment
Question: (a) List five main characteristics of ‘Prototyping'. (b) Describe briefly why ‘Prototyping' is essential to Rapid Application Development. (c) Describe the 2 t
The major domains of AI research and development. AI applications can be grouped under three major areas cognitive science robotics and natural interfaces though these class
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