Suppose that you intentionally put 90 "fake" errors into a large software system just before the system was subjected to a large system testing effort. this testing effort uncovers 80 errors in the system, of which 30 were "fake" and 50 were not. clearly, 60 of the fake errors were not uncovered. how many non-fake errors in addition to the 50 already found would you expect to be in the system? realize that i'm only asking for an estimate here based on straightforward (and probably over-simplified) assumptions about the errors and their discovery.

For a typical middle-income family, what is the estimated cost of raising a child to the age of 18? $145,500 $245,340 $304,340 $455,500

What are ways to switch windows in excel? check all that apply. on the status bar, click the windows button, and then click the file name. on the task bar, click to display the excel jump list, and then click the file name. on the view tab, in the window group, click switch windows, and then click the file name. on the review tab, in the viewing group, click files, and then click the file name.

When making changes to optimize part of a processor, it is often the case that speeding up one type of instruction comes at the cost of slowing down something else. for example, if we put in a complicated fast floating-point unit, that takes space, and something might have to be moved farther away from the middle to accommodate it, adding an extra cycle in delay to reach that unit. the basic amdahl's law equation does not take into account this trade-off. a. if the new fast floating-point unit speeds up floating-point operations by, on average, 2ă—, and floating-point operations take 20% of the original program's execution time, what is the overall speedup (ignoring the penalty to any other instructions)? b. now assume that speeding up the floating-point unit slowed down data cache accesses, resulting in a 1.5ă— slowdown (or 2/3 speedup). data cache accesses consume 10% of the execution time. what is the overall speedup now? c. after implementing the new floating-point operations, what percentage of execution time is spent on floating-point operations? what percentage is spent on data cache accesses?