There are no evident results of testing.
Since Internet of Things is one of the lately emerged industries, it still doesn’t have well-established practices, and rules, and methodologies of IoT testing. The absence of conventional approach to testing of IoT applications leads to poor level of testing specialists’ professionality. This is directly related to the quality of testing performed and results received.
Conventional IoT protocols aren’t only applicable.
There are a lot of sensors and actuators at the market, which are usually provided by different producers. Each of such companies has own suite of protocols and standards obligatory to be used within testing process. Aside from existing conventional IoT protocols, presence of additional ones significantly complicates the work of QA specialists.
Automated testing doesn’t have long established approaches.
Compared to traditional web solutions, it is almost impossible to apply automated testing tools for IoT Applications. It depends on a number of specific factors:
- automated testing solutions at the lately emerged market are yet immature and incomplete;
- testing protocols and standards are numarable and diverse;
- automated testing appears to be more as R&D process for testing specialists, rather than the established series of activities.
Ethics makes a difference.
It’s the first time in IT industry, when ethical aspect of work truly plays far more bigger role, than technological one. It comes from the specific nature of IoT solutions. Quality of IoT applications makes a great impact on human life and wellbeing. So QA specialists should take on far more bigger responsibility, than anyone can imagine. The errors are crucial.
50/50. Testers stand in a line with developers.
Regarding testing, IoT solutions have a little in common with web or any other solutions. So the approaches, that have proven their success multiple times earlier, just stop to work here. It’s told about proportion of testers’ and developers’ presence within process of project assessment and execution. Forget about traditional 30/50% correlation as for resources and tasks allocation between testers and developers. Give them full 50% to bring true value to the project.
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