Leveraging Artificial Intelligence to create self-healing tests

A key requirement for successful test automation is to get past the brittle or fragile nature of test scripts. Any Selenium (or Appium) developer has encountered the dreaded "NoSuchElement Exception". A locator that worked yesterday may fail today. What's a test engineer to do?

Fortunately the field of AI provides promising solutions and allows for the creation of self-healing tests. Tests that can find elements across all environments. Tests that can learn from "human-in-the-loop" intervention and work perfectly thereafter. Imagine automated tests that "just work"!

This session will look at how to apply the latest in AI and Machine Learning technologies to improve your test scripts. With the plethora of new open source AI libraries made available by companies such as Google, the ability to leverage AI in your applications is more accessible than ever.

This session will be a primer on AI technologies and how they can be utilized for perfect test automation.

 
 

Outline/Structure of the Tutorial

  • Introduction to AI
    • Why is AI promising in the field of Testing?
    • Using AI to make test cases more robust
  • How to apply ML libraries to solve common test case problems
  • How self-learning allows test cases to improve over time
  • A review of the major AI tools in the market today that you can use immediately

Learning Outcome

Participants will walk away with a good understanding of the various AI products and libraries used today. Moreover, attendees will also have a pragmatic understanding of how these AI models can be applied to improve automated tests.

Target Audience

QA engineers, Developers

Prerequisites for Attendees

This course will address utilizing AI to address common pitfalls in automated test cases. As such, participants should already have a good working knowledge of Appium or Selenium.

  • Selenium or Appium experience
schedule Submitted 1 year ago

Public Feedback


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      1. Code & System Level

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      Some of such questions are:

      1. How does one actually go about the business of building a robust and effective automation framework on top of selenium?
      2. What are the elementary building blocks to include in the framework that an aspiring automation developer should know of?
      3. How should we model our tests? XUnit style vs BDD?
      4. Are there good practices, sensible design patterns and abstractions that we can follow in our code?
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      Rabimba Karanjai - Testing Web Mixed Reality Applications: What you need to know for VR and AR

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      Intermediate

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      My rule of thumb is "Start with the scariest code". I'll share with you my framework for evaluating the ROI of writing a test for a feature and prioritising what to test.

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      We learn more from our failures than our successes. I want to share one of my failure stories, where I learned that coding is not the most important task in Test Automation.

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    • Babu Narayanan Manickam
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      Babu Narayanan Manickam - Deep Learning Based Selenium Test Failure-triage Classification Systems

      Babu Narayanan Manickam
      Babu Narayanan Manickam
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      schedule 11 months ago
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      45 Mins
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      Problem Statement:

      While running thousands of automated test scripts on every nightly test schedule, we see a mixed test result of pass and failures. The problem begins when there is a heap of failed tests, we caught in the test-automation trap: unable to complete the test-failure triage from a preceding automated test run before the next testable build was released.

      Deep Learning Model:

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      The algorithm has a powerful model for detecting false-positive test results calculated using the snapshot comparisons, test steps count, script execution time and the log messages. Also, the model has been built with other features like – duplicate failure detection, re-try algorithms and defect logging API, etc.

      The entire classification system has been packaged and deployed in the cloud where it can be used as a REST service. The application has been built with its own reinforcement learning where it uses the classification score to enhance itself and this is programmed to perform in an inconclusive range.

      In sum, this deep learning solution can assist all Selenium testers to classify their test results in no-time and can assist to take next steps automatically and allow team could focus its efforts on new test failures.

      Link: https://github.com/testleaf-software/reinforced-selenium-test-execution

    • Denys Pavlenko
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      Taking into account the fast growth of GitLab in recent years and it’s prominent advantages, you might be required to start running Selenium tests in GitLab or even migrate your end2end tests from your previous CI tool to GitLab.

      Step by step guide will provide you the main challenges, key configurations, pitfalls in order to integrate and successfully run Selenium tests in GitLab CI. The wrapper around the Selenium to be presented is going to be Protractor with a built-in Jasmine test runner.

      The presentation will also showcase some main tips and tricks we’ve faced during this integration at our fast-growing startup in Munich, Germany.

    • Ivan Krutov
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      Ivan Krutov - Workshop: Efficient Selenium Infrastructure with Selenoid

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      Ivan Krutov
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      schedule 10 months ago
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      480 Mins
      Workshop
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      Selenoid is an alternative lightning fast open-source Selenium protocol implementation running browsers and Android emulators inside Docker containers. It is distributed with a set of ready-to-use Docker images corresponding to the majority of popular browser versions, has a one-command installation utility and works slightly more efficiently than traditional Selenium Grid.

      This tutorial shows how to build efficient and scalable browser automation infrastructure using Selenoid and related tools. You will be taught why running browsers in containers is so efficient, how to easily install Selenoid and use its powerful features.

    • Srinivasu gangam
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      Srinivasu gangam - Zero Touch Automation using NLP (Natural language processing) & AI

      Srinivasu gangam
      Srinivasu gangam
      Delivery Manager
      UST Global
      schedule 1 year ago
      Sold Out!
      45 Mins
      Demonstration
      Intermediate

      Problem Statement:

      As part of SDLC process:

      1. Is your product quality impacted due to a smaller number of QA resources available in the team?
      2. Are you waiting for QA resources to certify your code every time when you deploy? Is this impacting your product lead time (Speed to Market)?
      3. Is your Product delivery timelines are impacted due to last minute defects identified?
      4. Do you have your QA resources only in one location, but you want to “follow-the-sun” approach for Software delivery across multiple locations?
      5. Do you have manual testers who are not skilled in programming, but you want them to execute automated test scripts w/o any training efforts and automation setup?
      6. Would you like your team more agile and cross functional with Delivery?
      7. Would you like to increase your QA team’s productivity while they invest more time in script development rather than script execution?

      If answer is ‘Yes’ for above questions, "Zero touch automation" is the solution for above challenges that we have been facing part of SDLC.

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      You will learn how AI, NLP integrated with core automation components to achieve Zero touch automation.

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      I will also cover how E2E automation will be driven with decisions taken by machines based on what user is looking for . There is no manual intervention in this process. NLP and AI play key role to help machines to take decisions.

      We will also cover how we empowered developer/release manager/any team member/Manager to trigger the scripts from their cell phone and get the detailed execution report without having any automation software installed in their computer or Phone.

      We will be demonstrating how the request will be initiated from User, understand the need from user using NLP & AI , Fetching the code from bitbucket to select appropriate automation scripts , running them on Selenoid/docker server , storing results to MongoDB , receiving email with test results and Failure analysis.

      What is the value of zero touch automation?

      1. Enable speed to market: Now that Developers does not need to wait for QA resource, Changes can be certified quickly and ready to push to production. Lead time will be significantly reduced.
      2. Increase quality: Now that test automation is easy and it can run multiple times in each environment, most of the defects will be uncovered and addressed before code goes to production.
      3. Ease of test execution: Test execution will be very easy, no automation or framework setup required from user side. Test execution can be done 24*7.
      4. Productivity: Increase QA team’s Productivity to focus more on script development rather than focusing on script execution and failure analysis .
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      Naveen Khunteta - Best Practices to implement the test automation framework starting from Design - To -> Infrastructure - To -> Execution.

      45 Mins
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      Intermediate

      Best Practices - How to get the best 'Return ON Investment' (ROI) from your Test Automation.

      This has been observed that, most of the test frameworks wont be able to survive due to lack of expertise, no maintenance, no best practices being followed, and finally your test automation will be dead after few months, and there is no "Return ON Investment" from this. This is the most common problem, most of the companies are struggling and finally back to square to the Manual testing.

      My proposal : HOW to leverage your test automation in terms of best practices, best ROI, and how to adopt best automation culture in your organisation.
      I strongly propose some of the important points/suggestions to achieve this in your Organisation/Team.
      1. Test Automation Practices:
      • Design Patterns (Web/Mobile/API)
      • What to Automate/Not to Automate
      2. Common Automation Frameworks at Org Level:
      • How to design Generic Utilities, Libraries and different Components, which can be suitable for all the teams in the same Org.
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        • Common Design Patterns
        • Common application level and Page libraries
        • Best Practices to use Assertions in your Tests (How and What to write for assertions). Most of the people don't write proper assertions and this is making your test unreliable and no defects found during execution.
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      • User Creation from APIs (No need to automate user creation from web/app for all the test cases)
      • API tests are stabled most of the time
      • API calls takes lesser time as compared to web, hence include API calls in your UI/App framework to save time.
      • Less flaky test

      4. Best Code Review Process (Do not merge your code into Master without proper Code Review)

      • Implement PR (PULL Request) Process
      • Static Code Analysis using SonarQube, Cobertura, JACOCO etc..
      • Get the benefits of Best Test Automation Quality Matrices
      • Sometimes, Manual (Functional Tester) should review your code (Assertion, test steps and use cases) to get the best coverage
      5. Quality is A Team responsibility:
      • Developers, POs, Manual QEs and Automation engineers should be included to get an overview of test automation coverage.
      6. Maintenance of the Frameworks
      • After couple of months, it should not make your life miserable if you don't maintain your libraries and framework properly.
      • Do not use Hard Coded values, make it simple and Generic.
      7. Infrastructure Setup for Test Design and Test Execution:
      • Proper Browser - OS lab setup
      • Proper Mobile Labs setup with different Devices - IOT, iOS, Android, iPad, Tablets
      • Proper CI - CD common configuration using Jenkins, Dev Ops, AWS, Docker and Cloud setup
      • Handling multiple Docker nodes using Kubernates (use of Selenoid, GRID on Cloud)
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      45 Mins
      Case Study
      Intermediate

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      My first point will be about how the interface can help us to represent a new vision of Page Object and what benefits we could get from it.

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      It will a journey about autotest coverage. Imagine, that your project manager asks you - Do we have autotests for these buttons (forms, pages) or what autotests cover these Rest APIs with 'special' query parameters? I will show you two simple solutions that allow you to evaluate the coverage of tests written by test automation specialists.

      a) API tests. There is a swagger and during his execution, we also collect a swagger. We count coverage as a diff of two swaggers. We can see what is covered, what is not and what data used.

      b) Web tests. During the execution of tests, we collect information about elements, pages, and actions. As a result, we have such a format: page -> elements -> actions -> tests. All information representing in Chrome Plugin, that I will share with you.

      And last, I am going to consider what cons have current TMS (QA time management systems) and what to do if you want to make an automation-first strategy on your project? Moreover, you look for one TMS for developers and QAs/or you want to save the Allure report of all autotests in one place?

      Here you are! Allure Server has already released. I will overview the most important features and how to start using it from scratch.

      If you have an interest in the above themes come to my talk.

    • Benjamin Bischoff
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      Benjamin Bischoff - Simplifying your test runs with ‘make’

      45 Mins
      Case Study
      Intermediate

      The ‘make’ command has been around since 1976 and was originally used to build executable programs. In this talk I want to show how this powerful tool can greatly reduce complexity and eliminate stumbling blocks of running your automated tests. This applies to both CI pipelines and local test runs on developer or QA machines.

    • Sameer Arora
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      Sameer Arora - Triggering alerts on Slack along with screenshots in case of test case failure

      Sameer Arora
      Sameer Arora
      Senior Quality Engineer
      Dunzo
      schedule 1 year ago
      Sold Out!
      45 Mins
      Demonstration
      Beginner

      One of the biggest limitations with most of the frameworks in selenium is that we need to wait till the end to get the final test case report. Only then we can raise the alert that a particular functionality is broken. By then, it may be too late! In addition to this, in most of the frameworks, the HTML report generated is hosted on our company's private network and we need to connect to the VPN if we are outside the office to open the report and check the related screenshots to see which test case has failed and why.

      So, why not raise an alert as soon as the test case fails? And why not attach a screenshot along with that alert so that all the stakeholders can actually see what has failed in the application?

      In this session, we will learn a simple yet a really useful way of sending an alert along with the failed test case screenshot by integrating slack with selenium which will help us alert all the stakeholders as soon as an automated test case fails so that everyone can react to it immediately and the damage will be minimised.

    • Varadharajan Srinivasan
      Varadharajan Srinivasan
      Consultant
      Jocata
      schedule 10 months ago
      Sold Out!
      45 Mins
      Talk
      Intermediate

      We are now living in the age of Big Data. What makes Big Data so special is its ability to help the common man process petabytes of data to build innovative solutions. Cloud has played a pivotal role in building this data economy by making infrastructure more cost effective and enabling easy scalability.

      Today, the abundance of data helps business make intelligent decisions through business process automation. Data drives all our digital interactions, starting from products that we see on our Amazon home page, to our Netflix recommendations, to the advertisement on Google search results, to even the Friends that we get connected to on Facebook. All these systems are powered by data that is collected from the various system, cleaned, transformed and stored into Big Data solutions. Testing of these data systems have become very complex and requires a new approach. This paper highlights various aspects of Big Data Testing including:

      • Complexity in testing Big Data systems

      • Cloud based tools for testing Big Data cross various stages

      • Simplification of test processes and visualization through dashboards

      • Testing Big Data in the Agile/ DevOps

    • Lavanya Mohan
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      Lavanya Mohan / Priyank Shah - Analytics - Insights from unsaid customer feedback

      45 Mins
      Talk
      Beginner

      Are we investing our efforts in building things that actually matter? Is the new feature that we rolled out adding value to the customer? Is the new release doing better than the previous releases? How do we get answers to these questions and more? Analytics is our answer!

      Analytics information helps not just the business teams but also QAs, Devs, PMs and other members of the project in multiple different ways. It could help us uncover some critical issues, it could help us understand customer sentiments better, it could help us get a broader picture of how the customer actually uses the product and whether it was how we intended it to be, it can help us get ideas about what small or large changes the customers are looking for without them having to explicitly tell us.

      Analytics is important information to us. So, it is also critical that the information is correct. That means analytics information produced also needs to be tested and validated.

      This talk is intended to understand the testing of analytics events and why they are important to us.

      In this talk, we will cover our experience of how analytics information helped us understand our customers better and invest our time in building the right things. We will also cover how we validated it to ensure that the data that we were seeing was actually correct. In addition to this, we will also briefly cover some details about other sources of information that can be looked at if we are working in a mobile world.

      Please note: We’re open to tune the proposal based on feedback