End to end testing strategies for intelligently connected hybrid world of IoT

location_city Virtual Platform schedule Sep 12th 11:30 AM - 12:15 PM place Online Meeting 3 people 22 Interested

The intelligent mesh of devices is nothing but connecting millions of users, use cases, apps, and devices together to support application developed based on the internet of things. Currently, we see around the world that there are thousands of use cases, millions of apps, billions of users and trillions of things and if you think QA and testing in the interconnected intelligent devices then the scope would be very wide as verification and validation will be applicable in each interface and as and when grows.
I will talk about the challenges faced during IoT application testing and how it can go wrong. To thorough test all the area with the given challenges and IoT test lab is setup. What all are the solution to overcome the challenges. Some important aspects like continuous integration of hybrid environment and testing with multiple devices and with millions of use cases, to improve the existing conventional method with intelligent automation, and most important is scalability and security.

Although testing emerging technology and applications always is exciting, seeing their own strategies and tools fail in IoT testing can be frustrating even for well-seasoned testers. I aim to provide testers with a better understanding of connected systems like smart cities, connected enterprise and help them to apply their critical thinking to deal with uncertainty in their test objects.

 
 

Outline/Structure of the Tutorial

  • Introduction on Internet of Things(IoT)
  • Approach to testing the intelligently connected world of IoT
  • Uncertainties in a testing connected hybrid environment
  • Open-source and commercial test automation tools for IoT testing

Learning Outcome

At the end of the session, attendees will learn about:

1. What are the uncertainties in Testing this connected system?
2. Approach to test IoT based application
3. How IoT testing is different from conventional testing

Target Audience

QA, Project Manager, Automation tester, performance tester, IoT application developers and testers, Security testers

Prerequisites for Attendees

There are no prerequisites for this session.

schedule Submitted 10 months ago

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    • rajni singh
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      rajni singh - When a QA met reality technology: A strategy to test a reality-based application

      rajni singh
      rajni singh
      Senior Manager
      Nagarro
      schedule 10 months ago
      Sold Out!
      45 Mins
      Tutorial
      Intermediate

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      Although, testing new technologies and applications is always exciting, seeing their own strategies and tools fail in testing can be frustrating even for well-seasoned testers. I aim to provide testers with a better understanding and help them to apply their critical thinking to deal with uncertainty in their test objects. In addition, understanding the business needs for opportunities to optimize and innovate, and develop quality products. The fact is that the realm of reality technology is very different, therefore it needs­­­­­­ specialist for testing these technologies.

    • rajni singh
      keyboard_arrow_down

      rajni singh - Testing_Uncertainty for a chatbot

      rajni singh
      rajni singh
      Senior Manager
      Nagarro
      schedule 10 months ago
      Sold Out!
      45 Mins
      Demonstration
      Intermediate

      Uncertainty has always been a key challenge for testers - be it with the ambiguous definition of requirements or with unstable test environments. But testing a chatbot adds a completely new level of uncertainty to a tester’s life. There are a lot of platforms and tools available for chatbot development, but what we lack is a standardized chatbot testing strategy. The way testing is performed on chatbots differs a lot from the “traditional” testing (for example of an app or web portal) due to the apparent randomness of a conversation with a chatbot.

      Testing numerous clients’ chatbots and our own chatbot, we experienced that it is impossible to anticipate and cover all the situations that can happen during a conversation with a chatbot. As we introduced learning components to chatbot (AI / machine learning, intent training), the chatbot evolved and changed its behavior compared to previous test runs. This increases the need for regression tests and complicates them at the same time. There is no limitation on user input- any user can type anything to a chatbot, so functionality, security, performance and exception handling need to be robust. Key areas for testing Chatbot were the conversational flow and the natural language processing model, as well as onboarding, personality, navigations, error management, speed and accuracy of the given answers. Chatting with chatbot, we learned the importance of real-time feedback in order to collect data about unexpected behavior and invalid data responses.

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      Traditional testing strategies are not working well for chatbots – testers face new challenges in their daily work, while their experience and structured methods are becoming (to a certain degree) ineffective. Although testing new technology and applications always is exciting, seeing their own strategies and tools fail in chatbot testing can be frustrating even for well-seasoned testers. I aim to provide testers with a better understanding of chatbots and help them to apply their critical thinking to deal with uncertainty in their test objects.