Software Quality Assurance in software engineering

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Software Quality Assurance (SQA):-  SQA is a set of activity assuring quality in software engineering process. Altimetry result in quality in software products. It include a following activities:- Process definition & implementation Auditing  Training  SQA is a process that insure hat developed software needs & compiles with defined or standardized quality specification. SQA is an on going process with in the SDLC that routinely checks the developed software to insure its needs desired quality measured. SQA helps to insure the development of high quality software. SQA practices are implementation in most type of software development regardless of underline software development model are being used. In a border sense SQA incorporate an implement software testing methodology to test software. SQA process test for quality in each phase of development until the software is completed. SQA genially works on one or more industries standards that helps in building software quality guid

Floating point representation, Advantages of floating point representation in computer architecture

 Floating point representation:-

In computing floating point describe a method of representing a real number in a way that can support a wide range of value. Number are in general represented approximately to a fixed number of significant digits & scaled using expenses.

                                                                                   The base of further scaling is normally 2,10 or 16 the typical number that can be represented exactly in the form of significant digit into base to the exponent. The term floating point refer to the fact that the radix point (decimal point or more commonly in the computer binary point) can float that is it can be placed anywhere relative to the significant digit of the number.  

Advantages of floating point representation:-

It over the fixed point an integer representation is that it can support a much wide range of value. Eg:- A fixed point representation that has 7 decimal digit with 2 decimal places can represent the number.

123.45 & so no..... where as floating point representation with 7 decimal digit could in represent 1.234567 & so no.. . The floating point format needs slightly more storage so when stored in the same place , floating point number achieve their greater range at the expense of precision.



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