What are the newest strategies for application testing?

2 Test automation

Test automation is a strategy that involves using software tools and scripts to perform repetitive or complex testing tasks, such as regression testing, performance testing, and load testing. By automating your tests, you can reduce human errors, improve consistency and accuracy, and increase your testing speed and frequency. Test automation also allows you to test more scenarios and conditions, and generate more data and insights for your analysis and improvement.

3 Continuous testing

Continuous testing is a strategy that involves integrating testing into the continuous delivery pipeline, which is a process that enables the rapid and reliable delivery of software products to the market. By doing so, you can test your software continuously throughout the development, integration, deployment, and delivery stages, and ensure that your software meets the quality standards and customer needs. Continuous testing also helps you to accelerate feedback loops, optimize risk management, and support agile and DevOps practices.

4 Cloud-based testing

Cloud-based testing is a strategy that involves using cloud computing services and platforms to perform your testing activities, such as test environment provisioning, test execution, and test data management. By doing so, you can leverage the scalability, flexibility, and cost-effectiveness of the cloud, and access various resources and tools for your testing needs. Cloud-based testing also enables you to test your software across different devices, browsers, operating systems, and networks, and ensure its compatibility and performance.

5 Artificial intelligence testing

Artificial intelligence testing is a strategy that involves using artificial intelligence (AI) techniques and technologies to enhance your testing capabilities, such as test design, test generation, test execution, and test analysis. By doing so, you can leverage the power of AI to automate complex and intelligent testing tasks, such as natural language processing, image recognition, and anomaly detection. AI testing also helps you to learn from your testing data, and improve your testing quality and efficiency.

6 User feedback testing

User feedback testing is a strategy that involves collecting and analyzing feedback from your actual or potential users, such as surveys, reviews, ratings, and comments. By doing so, you can gain valuable insights into how your users perceive, use, and interact with your software products, and what are their needs, preferences, and pain points. User feedback testing also helps you to validate your assumptions, measure your user satisfaction, and enhance your user experience.

7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?