IOT Testing

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IOT Testing


IoT – The Internet of Things is a digital network of physical objects which has embedded sensors that can collect, store and transfer data over a wireless network with no human intervention.


The 4 Key components of an IoT system are

1) Sensor



4)Backend (Data Center)

IOT is a connection of identifiable embedded devices with the existing Internet infrastructure. In simple words, we can say that IOT is an era of “Smart”, connected products that communicate and transfer a large amount of data and upload it to the cloud.

IOT Testing

IOT Testing - The Thoughtframeworks way!

IOT Testing - The Thoughtframeworks way

Testing for IoT devices broadly revolves around Security, Analytics, Device, Networks, Processors, Operating Systems, Platforms and Standards.

Types of Testing followed for IOT testing

Compatibility Testing

There are many devices which can be connected through the IOT system. These devices have varied software and hardware configuration. This leads to a huge possible combination and hence it is important to perform compatibility testing for the IOT system.

Usability Testing

There are numerous devices with different form factors with which the users interact. Usability testing refers to evaluating a product or service by testing it with representative users. The goal is to identify any usability issues, collect qualitative and quantitative data and determine the participant's satisfaction with the product. That is the reason checking usability of the system is important in IoT testing.

Data Integrity Testing

Checking the data for its integrity is crucial in IOT Testing as it involves a large amount of data and its application.

Reliability and Scalability Testing

Reliability and Scalability is the key to build an IOT test environment which involves simulation of sensors by utilizing virtualization tools and technologies.

Security testing (Non-functional testing)

In the IOT environment, there are many users accessing a huge amount of data. Hence, it is important to validate users via authentication, and have data privacy controls as part of security testing.

Performance Testing (Non-functional testing)

Performance testing is important to create a strategic approach for developing and implementing an IOT testing plan.

Following chart gives the applicability of different testing types for various components of IOT.

IOT elements Testing Types




Backend Data (Data Center)

Functional Testing





Usability Testing





Security Testing





Performance Testing





Compatibility Testing





Services Testing





Operational Testing





IOT Testing Process

IOT Testing Process

                                                 IOT Testing Process 

Components Validation

  • Device Hardware
  • Embedded Software
  • Cloud infrastructure
  • Network Connectivity
  • Third-party software
  • Sensor Testing
  • Command Testing
  • Data format testing
  • Robustness Testing
  • Safety testing

Function Validation

  • Basic device Testing
  • Testing between IOT devices
  • Error Handling
  • Valid Calculation

Conditioning Validation

  • Manual Conditioning
  • Automated Conditioning
  • Conditioning profiles

Performance Validation

  • Data transmit Frequency
  • Multiple request handling
  • Synchronization
  • Interrupt testing
  • Device performance
  • Consistency validation

Security and Data Validation

  • Validate data packets
  • Verify data loses or corrupt packets
  • Data encryption/decryption
  • Data values
  • Users Roles and Responsibility & its Usage Pattern

Analytics Validation

  • Sensor data analytics checking
  • IOT system operational analytics
  • System filter analytics
  • Rules verification

Communication Validation

  • Interoperability
  • M2M or Device to Device
  • Broadcast testing
  • Interrupt Testing
  • Protocol

IOT Testing challenges

  • We need to check both the network and internal communication
  • Security is a big concern in the IOT platform as all the tasks are operated using the Internet
  • The complexity of the software and system may hide bug present in the IOT technology
  • Resource considerations such as limitations in memory, processing power, bandwidth, battery life, etc
  • Understanding the internals of the product
  • Lack of clarity in requirement specification.

Effective IOT Software Testing - Industry Standard Practices

  • Gray Box testing should be used with IOT testing as it allows the design of an effective test case. This permits you to know the OS, the architecture, third-party hardware, new connectivity and hardware device limitation.
  • Real Time Operating System is essential in delivering scalability, modularity, connectivity, security, which is important for IOT
  • IoT Testing needs to be automated after a couple of sprint releases as the product marches towards stability.

What are the other testing services you must opt for along with “IOT Testing”!

Non-Functional testing checks the Performance, reliability, scalability and other non-functional aspects of the software system. 

Thought Frameworks services - Major highlights 

- A dedicated team of specialized testers

- Complete quality assurance and reliability on every projects

- Cover every area of web & mobile app testing

- We make sure that the website & mobile app becomes easy to use, performance oriented and works well for end users.

IOT Testing Tools

The Two most effective IOT testing tools are 


Shodan is an IOT testing tool which we can use to discover which of our devices are connected to the Internet. It allows us to keep track of all the computers which are directly accessible from the Internet.


Thingful is a search engine for the Internet of Things. It allows secure interoperability between millions of objects via the Internet. 

This IOT testing tool also controls how data is used and empowers people to make more valuable decisions.

In order to execute the wide range of IoT tests listed above in a staging environment, the use of the right automation, simulation, virtualization, and measurement tools is quite critical. The following tools are available for testing:

Device/Protocol Simulators: Devices, which are standards-compliant, can be often simulated using tools. They can be simulated in large numbers as well as configured to map the required real-life states.

Record & Play Tools: Be it devices or applications, system, and user data/actions can be recorded and replayed on simulators and apps as a means of automating the test execution.

Mobile Testing Tools: They provide automated functional mobile testing that replicates end-user experience and ensures that the application works as expected.

Security Testing Tools: They can be classified into threat modelling, static code analysis, and runtime threat inducing tools. Tools such as Micro Focus® Fortify on Demand, OWASP ZAP, VCG, and Microsoft® Threat Modelling Tool identify threats, prioritize them, and also provide recommendations on how to fix them. Acunetix® and Netsparker® are two open-source security tools that could help in unearthing vulnerabilities. 

API Testing Tools: we generally use REST APIs and Web services. Tools such as Postman, SoapUI, Progress®, Telerik®, Fiddler™, etc to test their connectivity, response, and performance. 

Virtualization Tools: They enable economic and timely execution of compatibility tests without the requirement for investment in different hardware, operating systems, browsers, databases, platform services, etc.

Automated Deployment Tools: They are used to programmatically create virtual machines either on-premise or in the cloud, rapidly commission managed services, configure, and deploy custom-built services and applications.
Tools such as Foreman, Ansible Tower®, and Katello ensure the building of staging setup so that automated and manual tests can be triggered on time in continuous build, integration, and deployment environments.

In addition to this, test case and defect management tools and proprietary tools can improve productivity, speed, and effectiveness of quality control execution.

How do you do effort estimation for an IOT Testing project?

Thoughtframeworks has an unique approach for each project before starting the IOT Testing. 

How do you cover multiple browsers & mobile devices when you have less time?

When sprint duration is a constraint we use smart test execution, so we test based on priority.

Communication between clients & QA team?

We communicate on slack or skype to clarify queries regularly if any and ensure that communication between the development team and testing team is on the same page.

How does Thoughtframeworks manage the regular test cycles? 

We send Daily status reports, Weekly status reports and have a weekly call with clients.

How do we design test cases?

Refer wireframe tools like Figma and design test cases with test-case design techniques such as equivalence partition, boundary value analysis and error guessing, we also reflect on the previous domain knowledge / experience. We conduct brainstorming sessions within the team to explore and further formulate test cases.

The Thoughframeworkers and their experience in IOT Testing

Adding value to IOT Testing requirements:

Increase the number of development cycles

Achieve Resilience and ease of execution

Greater Scalability

Feature delivery in a timely manner.