There is no crystal ball. Knowing what the future holds is impossible, but your job demands that you make the necessary plans and arrangements the future and to discover how things will turn out today, tomorrow, or maybe a year from now. A significant obstacle of operating a mainframe for big businesses is figuring out how the system is going to work as time passes, the way it will handle old data, and how alterations in date and time of files would influence business operations. Being aware of what files and systems with date-based variables can do in production is essential, and correct software testing time travel is the only method if you want to really know.
Companies as large as Apple have had challenges coping with changes such as daylight savings time, leap years, as well as other time-based situations. People who own iPhones have slept more than they were supposed to when their alarms went off one hour late. On the other hand, Windows programs informed their users that it was an hour earlier than it actually was. Though businesses are no longer scrambling to cope with Y2K or any other imminent date-based crisis, there are still lots of situations where it is very important to test and simulate the way applications and systems will work with time.
Testing and planning programs around the date and time modifications like leap years or perhaps daylight savings time can protect your company from data-loss, lost efficiency, as well as upset customers. By replicating the passing of time through software testing time travel, you can look at how time-based features work when induced. Viewing how data and files behave in your system as time passes is an essential aspect of testing. Because you do not have a time-machine to catapult you into the future to find out what will happen, you should have a way of safely advancing within a secure simulated setting.
For instance, when you had a program in place to auto-archive particular kinds of files that were not modified or viewed in 180 days, you would want to put in place test data and then wait around for six months to determine if your program worked well. It will be much more practical to mimic the files that are ageing, so you could see how they are going to act once they get to the six-month mark. This could help in lowering the hazards of applications unable to work correctly once they reach specific time activation. Testing that kind of behavior ahead of time will stop any distressing surprises with your production data.
The software testing time travel is particularly significant when establishing applications to operate across several time zones. Transactional data from across numerous time zones can get snarly. For instance, a mainframe processing credit card deals must process each and every transaction in the time zone in which it happened, instead of the time zone in which the mainframe is located. When establishing and testing the system, instead of flying staff throughout the county to do test transactions, the time zone of the transactions can be simulated to make certain the system knows very well how to process them.
Solving the issues of systems and files working properly after some time needs extensive testing and sophisticated tools. These tools should be able to imitate changes in date and time to test date-sensitive code, dynamically age files to make test files and databases, and to be able to test time-based programs out of the typical production environment. You would not wish to do all these kinds of date/time tests on manufacturing data. It would always be better to duplicate the data you wish to test and execute your simulations in a secure environment.