When we are in love with technology and research, we try to deteriorate with the new aspects of the technology. Approaching with the new set of mind on the old thing leads to the development of new technology or new invention so it is really very much important to be advanced in your research. And being advanced also means to be accurate that result in gaining knowledge by doing research.
Integration testing is the phase in software testing in which individual software module is combined for one unit study. It occurs after the individual unit testing is done. The purpose of the integration testing is to check the performance, function, and reliability of the major design systems. It is performed according to the SOFTWARE DEVELOPMENTAL CYCLE after module and functional test.
The process of Big Bang Testing
In big bang integration testing, many modules are coupled together to form a completely unique software system or a major part of the system and then used for the testing. The big bang integration testing is very much effective as it saves a lot of time in the process of integration testing. But the drawback is if the test is not performed properly and the results are not recorded properly then the whole process of integration testing will become more and more complicated and it may also prevent the achievement of the goal during the testing of integration testing.
- Big bang integration testing combines all components by simultaneously integrating, after which as a whole or in a group everything is tested.
- In this big bang integration testing, all the modules are not integrated individually until and unless the whole group of modules is ready.
- In this, testing modules are integrated without performing any integration and then execution is done to know whether all the integrated modules are working 100% fine or not.
Importance of Big Bang Integration Testing
Usage model testing is one of the big bang integration testing and is used in both software and hardware integration testing. The basic motive behind this type of integration testing is to run user like workloads in user like environment.
Usage model testing takes an optimistic approach because it has a drawback of having problems with the individual components.
So it is considered good to rely more on isolated individual testing for their products. The main goal of this strategy is to avoid the repeated way of testing by developers. Also, efforts should be taken to remove the flushed problems caused because of the interaction of the individual components in the group of the environment.
For being more efficient and accurate, care must be taken in defining the workloads of the user for the creation of scenarios which are realistic in exercising the place of the environment.
There are top-down and bottom-up testing:
Bottom-up testing is the integrated testing where the lower level components are tested first than the higher level components. The process is to be repeated until the goal is achieved.
Top-down testing is the integrated testing where top modules or the top level components are tested first and then the bottom level until the goal is achieved
Sandwich testing is an approach which deals with the combination of top-down testing and bottom-up testing.
Risky hardest integrated testing is the approach where the test is performed starting with the hardest and the riskiest software module first.
Run and see approach is the approach executed by the developers in the integration testing. If in the integration testing, any failure occurs to some extent then it becomes very difficult to know the root cause of the failure by the programmers. On encountering any sudden arousal of a bug then it is the duty of the developer to detach the integrated module in order to find the actual cause of the bug arises.
Advantages of big bang integration:
- Big bang testing completes before integration testing begins.
Disadvantages of big bang integration:
- It is very time-consuming.
- Unable to find the cause of the sudden failure due to late integration.
- Takes a lot of time and effort to detach bugs, if found.
So, working one by one simultaneously creates a good impact for the better research in the function. Big bang testing can be easily done by going through all the integration problems; you get in running a system which you test.