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Key considerations before enabling no-code, AI solutions or machine learning in your QA process

System Verification No code AI Machine Learning

Right now, on the market there are a plethora of commercial and open-source no-code and low-code solutions available that can help organizations automate many of the tasks associated with QA (Quality Assurance) and improve the effectiveness and efficiency of testing. These tools offer a wide range of features, including AI-powered test case generation, test execution, and test management. By leveraging these tools, organizations can streamline their QA processes.

Don't miss out on the former blog post explaining more about the no-code, AI and machine learning possibilities in QA processes. 

Before you begin researching no-code/low-code solutions for your organization, it is important to keep in mind these six key considerations. Understand the limitations of no-code solutions, assess the skills of your team, choose the right solution that meets your business requirements and can integrate with your existing systems and tools, plan for scalability as your business grows, consider the cost of ownership, and test and monitor the solution. By keeping these points in mind, you will be better equipped to make informed decisions and successfully implement no-code solutions that align with your business needs and goals.

  1. Understand the limitations: No-code/low-code solutions have the potential to streamline many processes and make them more efficient, but it is important to understand that these solutions are not a replacement for traditional development methods. Instead, they should be considered as a complement to traditional development methods. It is important to understand the limitations of no-code solutions and make sure that they align with your business needs and goals.
  2. Assess your team’s skills: Before implementing a no-code/low-code solution, it is important to assess the skills of your team. No-code solutions are designed to make development more accessible, but they still require some level of technical expertise to use effectively. Make sure your team has the necessary skills to use the no-code solution you are considering.
  3. Choose the right solution: With so many solutions available, it is important to choose the right one for your business. Make sure the solution you choose meets your business requirements and can integrate with your existing systems and tools. It is also important to consider the vendor's reputation and record of accomplishment of providing reliable and secure solutions.
  4. Plan for scalability: No-code/low-code solutions can be a wonderful way to quickly develop and deploy new applications, but it is important to plan for scalability. As your business grows, you will need to ensure that your no-code solution can handle the increased load and complexity. Make sure the solution you choose can scale and adapt to your changing needs.
  5. Consider the cost: these solutions can be a cost-effective way to develop and deploy new applications, but it is important to consider the total cost of ownership. Make sure you understand the costs associated with the solution you are considering, including the cost of licenses, support, and maintenance.
  6. Test and monitor: Before implementing any solution, it is important to thoroughly test it and monitor its performance. This will help you identify any issues or bugs that need to be addressed and ensure that the solution meets your business requirements. 

Business woman typing on keyboard with global system concept-1

Now this is not the only solutions which will change the perspectives on QA and we will still need the former and more traditional QA process to complement and to reach our goals. But it is both exiting and interesting to dig deeper into the trends and the new possibilities and keep on questioning the way we do things to be able to improve. 

Want to talk more and dig deeper into QA with us? Reach out here