Not Only Cars: “AI, Please Test My App”

schedule Jun 29th 10:30 - 11:15 AM place Lalit 1 people 106 Interested

Autonomous cars were a Scifi dream not 10 years ago. A computer driving a car? No way. But it did happen, and is happening. And if scientists do it for a complicated task such as driving, can they do it for automated regression testing? In this talk we explore what is being done in the field today, but also speculate about the future: we introduce the 6 levels of autonomous testing (that correspond to the 5 levels of autonomous driving), and try and figure out what kind of help current AI techniques can bring to automated testing.

 
 

Outline/Structure of the Talk

  • How autonomous driving works
  • Machine Learning and Deep Learning
  • How AI works today to assist you in testing your app
  • Where can AI take us in the near term
  • The 6 levels of AI in automated testing
  • Dreaming about the long-term

Learning Outcome

  • How autonomous driving works (unrelated, but fun to know!)
  • How AI works today to assist you in testing your app
  • Where can AI take us in the near term
  • Don't worry about AI - it is a tool, not something that will take away your job

Target Audience

Test Automation Developers

schedule Submitted 1 year ago

Public Feedback

comment Suggest improvements to the Speaker
  • Diego Molina
    By Diego Molina  ~  1 year ago
    reply Reply

    I saw this talk in SauceCon and it was really good. I think its content is extremely valuable, specially to this new AI/ML in testing trend. It gives a very nice overview of what it is and how it affects and benefits us. Would be cool to have it in this conference.

  • Hemant Ojha
    By Hemant Ojha  ~  1 year ago
    reply Reply

    Thanks Gil for sharing the idea and the analogy.

    Do you have a practical example which can help in understanding how ML can help in updating the selectors in the scripts to reduce maintenance? Or does it only applies to visual testing?

    • Gil Tayar
      By Gil Tayar  ~  1 year ago
      reply Reply

      I believe that figuring out the change in selectors is a short-term solution, that can probably be solved using various complex heuristics (do we really need ML for that?). This is similar to the short-term gains that parking indicators give us today when parking.

      The real gains will come once the AI can "see" and understand the page as a whole—both the DOM of the page, and the visuals of the page. Once the AI sees the whole of the page, it removes the need to check this specific field or that specific field. This is exactly what has happened with autonomous cars—once they got the ability to see the road, along with sensors like LIDAR that helped them see better, computer vision AI techniques like Convolutional Neural Networks kicked in to help the car understand what is going on around it and react to it appropriately.


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