🤖 Day 22: Reflect on what skills a team needs to succeed with AI-assisted testing

📆 30 Days of Testing
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21

Greetings Everyone!
I personally would love to know the skills required for AI asisted testing so that I can develop my AI testing skill set as well.
Also, I took help from chatgpt for completing this task:

  1. Test Automation Engineers:
  • Responsible for designing, implementing, and maintaining automated test scripts leveraging AI techniques and tools.
  • Proficient in programming languages (e.g., Python, Java) and testing frameworks (e.g., Selenium, Appium).
  • Collaborate closely with AI specialists to integrate AI capabilities into automated testing processes effectively.
  1. AI Specialists/Data Scientists:
  • Possess expertise in machine learning, data analysis, and AI technologies.
  • Develop and fine-tune AI algorithms for tasks such as test case generation, anomaly detection, and predictive analytics.
  • Work closely with test automation engineers to train AI models, analyze testing data, and optimize AI-assisted testing processes.
  1. Quality Assurance (QA) Engineers:
  • Responsible for defining testing strategies, test plans, and test cases to ensure comprehensive test coverage.
  • Conduct manual testing where necessary and validate automated test results.
  • Collaborate with test automation engineers and AI specialists to identify testing scenarios suitable for AI assistance and verify the accuracy of AI-driven test results.
  1. Domain Experts/Business Analysts:
  • Provide domain-specific knowledge and insights to guide testing efforts.
  • Collaborate with QA engineers to define relevant test scenarios based on business requirements and end-user needs.
  • Assist AI specialists in selecting and preparing domain-specific data for training AI models.
  1. Project Managers/Scrum Masters:
  • Facilitate communication and coordination among team members.
  • Manage project timelines, priorities, and resources to ensure timely delivery of testing objectives.
  • Support the team in overcoming challenges and adapting to changes in testing methodologies and AI technologies.
  1. Ethics and Compliance Specialists:
  • Ensure that AI-assisted testing practices adhere to ethical guidelines, regulatory requirements, and industry standards.
  • Identify and address ethical concerns related to AI algorithms, data privacy, and bias in testing processes.
  • Collaborate with QA engineers and AI specialists to implement measures for responsible and ethical use of AI in testing practices.
  1. Continuous Learning and Improvement Champions:
  • Promote a culture of continuous learning and improvement within the team.
  • Stay updated on advancements in AI technologies, testing methodologies, and industry best practices.
  • Organize training sessions, workshops, and knowledge-sharing activities to enhance team skills and expertise in AI-assisted testing.
1 Like
22

Here is the thing, I won´t ask ChatGPT about this task, because it is a tool, it will propose a text, but it won´t believe in it.

I been following the whole challenge, and even that I´m not writing my own experience, since I don´t do much testing these days, on this one I want to share my thoughts.

When building a team that will use AI assisted testing, you want to have…

People who understand the business context, what can be done, what should be done.
People who understand the tooling, what could be done and how to get there.
And then integrate with developers and iterate, and keep learning.

And stay sober.

Software Testers are the ones who stay sober.

I think we are building software as we are building cars…
Bigger, larger, heavier, more complex to run and to maintain, and way more powerful than they should be.

We get delighted by the performances, and terrorified by the consequences of an accident when it happens.

Whatever code solution you run into, you better be able to understand it and to maintain it, you better be able to believe in it.