The testing tools you leverage directly reflect where you stand from a modernization perspective. Using Excel for test cases or defect recording is not going to cut it for today’s testing needs. The latest tools center around defect management, test management, test automation, and performance testing.
Defect management tools facilitate clear and timely communication between software and test engineers. Most organizations use a collaboration defect management tool such as Jira to record, prioritize, and track bugs to resolution. Mature organizations also have a test management tool for their test repository to structure manual test cases for reusability and maintainability. These organizations view test cases as an application’s assets, just like its source code. Tool examples include Zephyr, Microsoft’s ADO, Tricentis qTest, and Microfocus ALM. If you’re currently not using a test management tool, you need to select and implement one as a major step in testing modernization.
As mentioned previously, test automation is a major component of testing modernization. And of course, it requires a tool or framework. There are many tool options available for test automation—with trade-offs. Open source tools such as Selenium are free, but require highly skilled test engineers to build frameworks and automated tests. Commercial tools like Tosca and LeapWork provide a complete development and execution platform, but have associated license cost. Some tools require that code is written to create the automated tests, while other tools are codeless/no code and can be used by manual testers. Other considerations include whether you’re automating UI tests or API tests, the technology of your application under test, and the technical skills of your team. With the variety of tools available, it’s best to develop an automation strategy and evaluate each option to select the right fit for your organization.
Modern performance testing includes both baseline performance monitoring during Agile sprints plus load performance testing for peak load evaluation. Performance testing cannot be conducted without a tool to simulate concurrent users and measure the performance of your application under load. Similar to test automation, there are options available—both open source, such as JMeter, and commercial, such as Neoload. Again, you will need to perform a tool evaluation to select the right fit.