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Q. Explain about Special Value Testing?
Special Value Testing is the form of functional testing. Special value testing take places when a tester uses his or her domain knowledge experience with similar program as well as information about "soft spots" to dense test case. No guidelines are utilized other than to utilize "best engineering judgment". Consequently special value testing is heavily dependent on the capabilities of the testing persons.
Beta testing is testing an application when development and testing are essentially done and final bugs and troubles require to be found before the final release. Beta testing is t
Waterfall Model It is the oldest, simplest and most widely used process model. In waterfall model, every phase of the life cycle is finished before start of a new phase. It's
1. McM Cog is a supplier of industrial parts. Most orders are received at a call center. The call center currently has 10 phone lines total, i.e., a maximum of 10 callers may b
The company wants to offer an incentive of free shipping to those customers who have not returned for two months. Create a procedure named PROMO_SHIP_SP that determines who these c
The Clue-Less system shall be available to all users on the Internet 95% of the time between 5:00pm and midnight local time and 90% of the time between midnight and 5:00pm local ti
What is Delphi model? In Delphi method, a number of parameters to be considered based on as experts estimates. The group estimate is taken as on an average of the weighted
Q. Define Aggregation among objects? Aggregation between objects represents a relationship. It is a whole/part relationship. Aggregation may perhaps imply containment.
Explain incremental model? The incremental model is proposed by D.L PARNAS. It is basically executed by combining elements of linear sequential model and iterative prototyping
Q. Explain Common coupling with example? Common coupling: General coupling is when two modules share the same global data (example a global variable). Changing of the shared
Use the Newton divided-di_erence method to construct interpolating polynomials of degree one, two, and three for the following data. Approximate f(0.18) using each of the polynomia
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