The Future of Testing – A Roundtable Discussion on AI and Automation

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The Future of Testing A Roundtable Discussion
on AI and Automation 
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The Future of Testing A Roundtable Discussion
on AI and Automation

• Recent advances in artificial intelligence (AI),
  particularly in generative AI with the release of
  large language models (LLM) such as OpenAIs GPT
  3.5 and 4.0, Googles Gemini, and Metas Llama in
  2023, have had a profound effect on business
  procedures and practices in several industries,
  including software development, operation, and
  quality engineering (QE). 
• For example, QE engineers utilize ChatGPT and
  other AI-augmented tools to generate test plans,
  use cases, scripts, and data for manual and
  automated testing. At the same time, software
  programmers employ generative AI tools like
  GitHub Copilot to generate code. When integrated
  into QA processes, these technologies can
  significantly increase productivity, improve the
  caliber of work, and quicken software delivery. 
• Key Findings from the Report 
• Here are some key findings from the report. 
• Test Automation is the foremost QE practice, with
  its adoption on the rise. It is deemed the most
  effective, yet lesser-used practices like
  behavior-driven and test-driven development are
  also highly valued for their efficacy. 
• Test Automation brings high returns on investment
  (ROI), and teams with more experience gain higher
  ROI. Other benefits include higher software
  quality, the ability to test more often and more
  thoroughly, and improved test coverage. 

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The Future of Testing A Roundtable Discussion
on AI and Automation

• The top challenges in achieving quality goals are
  the lack of time and skilled resources. Skill
  shortages and frequent requirement changes remain
  the key obstacles in test automation adoption.
• AI adoption remains low overall, with notably
  lower rates observed among more experienced
  professionals, suggesting a reluctance to embrace
  this technology within this group.
• AI is used in various QE tasks, focusing on
  generative AI for generating test cases, data,
  and scripts. Despite low AI adoption rates, the
  use of AI for test cases, scripts, and data
  generation is steadily increasing.
• For more insights, download the report.
• Interesting right? 
• Want to know more on this topic
  https//bit.ly/3VceZIW 

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