The
proliferation of the Internet of Things (IoT) and its related technologies and
software applications has confronted the testing teams with a number of challenges.
With IoT, where most of the everyday objects communicate with each other, and
where technologies upgrade every other day, new challenges have emerged for the
software testing industry.
For any given
software project, QA teams need to ensure that a single app functions as
designed and performs as per the user
expectations. As the IoT devices
seamlessly connect and communicate with a wide variety of platforms,
devices and operating systems, the additional stress on the testing team is
enormous. However, such challenges are completely outweighed when it comes to
the security challenges posed by the software architecture of the IoT application.
With innumerable devices connected to each other in the IoT, there are numerous
potential attack vectors that can be exploited by the cyber criminals. If cyber
criminals were to tamper with the settings of such devices, the consequences could
be highly devastating.
With the
amount of detail that needs to be covered in an IoT testing,
having a list of critical QA priorities is very important. Such priorities need
to cover the length and breadth of the challenges of IoT testing.
The different
areas of testing an IoT application are as follows:
- Functionality: Web/UI, embedded and back-end
computing.
- Compatibility: Multiple Configuration, Protocol and
product Versions, Backward Compatibility and Mobile OS.
- Connectivity: Communication between the devices,
third party applications and the infrastructure.
- Performance of the network, communication and
internal computation.
- Exploratory: Rare scenarios and beyond functional
requirements and structured testing.
- Security: Privacy, Autonomy and Control.
The top challenges and solutions that
the QA can enlist are as follows:
- The convergence of Hardware and
Software: The ecosystem of IoT is made of devices, sensors and applications.
When it comes to millions of sensors and devices in conjunction with
intelligent software, only functionality validation is not enough.
- Additional factors along with a
working system: IoTworks with sensors and devices communicating with multiple
software back-ends with complex algorithms.It is not only enough to ensure a
working set of device software. It requires a robust validation process with
extremely complex real time scenarios. Obtaining such scenarios is an extreme
challenge for the QA team.
- Sensor Interactions: The biggest
challenge lies in the creation of an environment in order to test the real-time
implementation of the IoT application. Setting up such an environment requires numerous
analytics engine and a significant experience in technical simulation. Although
the hardware and the protocols are well tested beforehand, understanding the
application intelligence and the device complexity is an extremely big
challenge for the QA experts.
- The device interaction layer: Here the
software and hardware components interact in a real-time IoT environment. Their
conformance to standards, interoperability, backward compatibility and security
are the additional challenges in addition to typical software testing.
- The user interaction layer: The
success of the overall application depends on the user receiving a seamless
experience. The main testing challenges include the simulation of network modes
along with device level validation, the real time usability along with the
back-end IoT environment.
Conclusion
The IoT
ecosystem puts forward a plethora of testing
challenges. These challenges can be thought of as opportunities to build
new solutions. Some of these new solutions are Protocol Simulators, Data
Recorders and Service Virtualization. The software industries need to empower
their QA team with reliable IoT products and services. It is important for the
QA teams to upskill themselves beyond the traditional functional testing and
get ready for the integrated testing of such embedded software.

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