4 Fundamental practices in IOT software development

Technology owners who work for the huge enterprise without an Internet of Things (IoT) in today’s era would have a goodbye to their own share price in a near future. In this era, IoT is no longer a dream, by 2020, IDC predicted to have around 30 million connected devices and this would lead the opportunity to generate revenue of $1.7 million in an ecosystem. International and popular brand like Intel have already started to modify the changes in their business to focus on the IoT as more and more device are connected which automates the work of management, provisioning, and monitoring. Today, with the latest innovations and high technologies devices are getting smarter talking to each other like a human, which result in a higher quality and great results.


Pampering the technology and moving forward with the IoT complexities is all the way to get the success in IoT software development. However, IoT products and services will only be as good as services behind them. This is not creating the problems but developing the ubiquity of IoT to magnify the potential impact of problematic software, and this is where the trouble begins.

Obstacles in IoT development

Firstly, there are hundreds of companies who are planning to invest in IoT but are not technically and computably sound. IoT activities are generally incurred from the industries of manufacturing, government, consumer products and more. These organizations suffer from the lack of knowledge from the dynamic software capability. This is coupled with the problem that engineers, especially with the knowledge in connected device development are in high demand. Some other issue faced by the worker is once the IoT is set, an enterprise has to figure out how to manage the software. Hence, it would result in the very high problems. Some of the old and popular software are not able to make out on how to catch all the practices needed to develop the internet-connected applications. With this scenario, there is very less chance to for the current industry software to manage.

Secondly, this software components need to communicate much safely with other Internet-facing components. Applications are operated on the same subnet and hence, the same subnet users are restricted from access. People who wish to access the universal internet would not prefer this as it is not a viable solution although it may work for some enterprise model may be for small firms. Hence, because of this reason, developers must know, what to do with this components in order to ensure that it communicates securely, efficiently and reliably. However, this is quite a common issue in IT department but new in device software development.

Thirdly, the problems that are incurred in IoT are already known in traditional computing but relatively not a cup of tea in a connected ecosystem. For instance, enterprise and developers are quite aware of the security against the vulnerable attacks. But the sole thing is input validation which becomes a challenge to be accepted in IoT today. However, connected device development expands the scope of those concerns. People connected with the development of IoT need to think on the security issue of input validation during development.

What about security and product quality?

The greatest factor in IoT today is about the security although developers always take a keen care in it. Devices communicate with each other, hence data must be taken acute care of. There have already been many data breaches where smart devices have been the target notably Osram, which was found recently to have vulnerabilities in its IoT light bulbs, potentially gifting an attacker access to a user’s network and the devices connected to it. The thought of security should come at the starting period of the design phase rather than later.

Software robustness and security are interrelated with each other. Though secure software takes more time to design but it is highly reliable and easier to maintain in future. It was also researched that 30% of the security problems are dire robustness. Despite, software developers are always looking for the shortcuts. In the IoT , to market this huge software, security and quality are sacrificed for the speed to release. Today, software that is not drafted properly, seems to be the highest safety issues.

To meet the demand and avoid the pitfalls, 4 steps should be considered

  • Review

    Code review should be done properly and repetitive testing must be the priority. Manufacturers must ensure that software engineering teams are aware of the security and quality measures. More complexities in IoT led to software quality failure. Firms can’t afford if there are any unauthentic transactions between app, sensor, and device as it may cause high major issues.

  • Assessment

    In today’s business, continuous deployment is normal today. Updates occur at a regular interval of time and often pushed multiple times a day. For software developers who deals with IoT devices, quality assurance is the greatest burden for them. Failure is for sure if the software is not monitored regularly.

  • Responsibility

    The manager must take the responsibility for the quality assurance. A manufacturer who doesn’t keep the track for the software is at risk. It is the responsibility to take care of its reliability, security, performance to make the customers and stakeholders happy.

  • Advocacy

    Apart from the measurement and analytics, education also plays a vital role. People who are involved with IoT and hardware device must spread the word in the community about standards. Manufacturers must take care for creating initiatives for consistently measuring the quality of the software.

Understanding the importance of security architecture and industry standards would be the first line of defense.


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