In this provide a summary of the
validation and authentication methods used for the software to introduce the
system.
·
Static vs. Dynamic
Verification and validation procedures can be summarized into two
main categories: static and dynamic. While both have their advantages, the best
choice will depend has to be added in the type of coverage. Static methods,
such as model checking, check the requirements and design implementation for
testing accuracy without time pressure. Although it is good for logic control,
these methods are not for the timing, which is important for real-time embedded
systems. Here is where dynamic techniques. Dynamic methods use time to model
how a system will behave. A combination of both approaches full coverage for
each system.
·
Static Analysis
This method,
known more formally, known as code review, is a static method that helps
uncover missing, obsolete, defective or unwanted functionality. The method
analyzes the program without running it. When used early in development, it
helps to ensure quality programming and reduces unnecessary mistakes. There are
two types of static analysis: walkthrough and inspection. During a walkthrough,
the implementation object is simulated; then test data step by step to explore
difficult algorithmic solutions. Inspection is a more technical review code.
Static analysis is often used for testing and set-up of the system.
·
Formal Methods
For more
logic-based verification and validation procedures, it is proposed the use of
formal methods. Formal methods are to use mathematics to prove the correctness
of a system. The two main methods are formal model checking and Evidence.
Although these methods are very useful, they can be difficult to use because
they require extensive knowledge of advanced mathematical techniques. Both
methods since the early computer systems are becoming increasingly popular with
leading software companies. Perhaps it is because they are always user friendly
and some of the best when it comes to detecting logical errors.
·
Model Checking
Model checking,
model - for example, a prototype or finite automata, is used to describe an
operating system. Then, a specific feature of the system is changed to a logic
function and the model will be examined to verify that this feature. Model
checking is good for necessary testing, finding a disagreement within the system
and detection modules orphaned or inaccessible.
·
Theorem Proving
Built in the
70s by Tony Hoare and Edsger Dijkstra, evidence proves to fulfil the accuracy
of a system in a statement. Proving users to find a prerequisite and executable
code on a pole fitness. The theorem states that if a condition is true before
the program is executed, then the post-condition must be true. Since evidence
of such extreme uses math and logic, it is rarely used as a method of
authentication. It is also a time-consuming process, because the user encloses
the process.
·
Simulation
Dynamic
simulation techniques begin. Simulation exact reproduction of the software, and
allows users to test whether the software is correct. They can be used with a
large model, without having to worry about the state space explosion.
Simulations use one of the more convenient ways and one of the most popular;
but do not offer as robust set of other methods.
·
Prototyping and Emulation
Prototyping and
emulation are taking simulations to the next level. They constitute, therefore,
a representation of the current program, and provide near accurate results.
They are executed are placed in the speed and real-life environment and
real-life situations. Prototyping and emulation have a number of disadvantages.
They are time-consuming to make, and can be expensive because they have to fit
close to the current system. Also, they cannot do with the original design of
the system is fulfilled, postpone important test.
·
Integration Testing
While
integration testing is not usually classified as a verification or validation
procedure, it is still an important part of the testing of an installed system.
Therefore, it is listed as a current process. Integration testing is important
because it not only ensures that working together the hardware and software,
but also ensures that the system is well integrated as a whole. It also allows
many different types of errors.
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