In software testing, a bug is something that is wrong with the code, an error is where something has gone wrong with an incorrect system state, but the end user does not see it, and a defect is where there is something wrong with the output, such that the user sees it.
There is no difference.
There is no difference.
The difference between low percent error and high percent error is one is low and the other is high
Bias is systematic error. Random error is not.
In software testing, a bug is something that is wrong with the code, an error is where something has gone wrong with an incorrect system state, but the end user does not see it, and a defect is where there is something wrong with the output, such that the user sees it.
A defective product has a defect: "My phone is defective" "What defect does it have?" "The defect is that the screen is broken" To defect can also mean to switch sides e.g. from an army or a political party
There is no difference.
There is no difference.
The difference between low percent error and high percent error is one is low and the other is high
The defects detection is the validation process. The defects prevention is a verification process.
failure->Because of software problems code does not able to work. Defect->incorrect code.
Bias is systematic error. Random error is not.
It would help to know the standard error of the difference between what elements.
defect prevention includes those strategies through which we avoid to occur a defect. for example formal risk analysis, prototyping. in defect prediction those areas are highlighted where there is possibility that defect can occur.
The mass of a nucleus is subtracted from the sum of the masses of its individual components.
If you add the exact mass of the protons, neutrons, and electrons in an atom you do not get the exact atomic mass of the isotope. The diference is called the mass defect. The difference between the mass of the atomic nucleus and the sum of the masses of the particles within the nucleus is known as the mass defect.