“AI is revolutionizing software testing,” the experts agree – and point to the enormous personnel and time savings that the automation of test processes makes possible. In fact, artificial intelligence offers companies an attractive approach to meet the growing demands on test management even with a shrinking workforce.
What role does test management play in today’s corporate world?
In today’s fast-paced digital world, quality assurance of software applications is critical to business success. This has noticeably increased the demands on test management and is reflected, among other things, in significantly shorter test cycles in order to be able to implement the wishes of the specialist departments for new development or adaptation of certain functions more quickly.
Traditionally, software test management is a major cost driver and consumes extensive resources in IT and, above all, in the specialist departments. The manual creation, execution and evaluation of the test cases mean long test cycles and high costs for the companies. In addition, there is a risk of human error, which can impair the quality of the test results and lead to sensitive disruptions in application operation.
However, many companies lack the necessary personnel resources to carry out all the testing tasks that arise and to be able to reduce the associated risks.
What optimization options does AI offer for test management?
The use of AI opens up a wide range of possibilities in test management to achieve significant increases in efficiency and to manage test requirements with the available resources.
The following test processes can be automated and optimized with AI:
- Prediction of test effort: With the help of predictive analytics, AI can predict how much effort will be required for future tests. On the basis of historical data, the business processes to be tested are identified.
- Test case generation: AI can be used to automatically generate test cases based on the requirements and behavior of the application. This reduces manual effort and ensures that all possible scenarios are covered.
- Test planning: With the help of AI, the available resources for test execution can be optimally planned. Both planned and unplanned absences as well as the existing know-how of testers can be taken into account. AI helps to ensure that the right testers are available at the right time.
- Test execution: By using machine learning (ML), tests can be intelligently prioritized and executed, which shortens the test time and increases efficiency. In addition, AI helps to generate the necessary test documentation.
- Error detection: AI can identify patterns in the test results and thus also anomalies. This enables faster and more accurate error detection.
How can companies benefit from the use of AI in test management?
Test optimization through AI offers numerous advantages for software test management
In all test scenarios, AI enables companies to reduce the amount of time and personnel required. This not only protects the budget, but also allows employees in the specialist departments to concentrate more on their core tasks – which offers companies a great relief, especially in times of increasing skills shortages.
How can XEPTUM support your company in introducing AI in test management?
As the explanations show, AI offers a wide range of optimization approaches for test management – from planning to execution of software tests. With XEPTUM, you have an experienced digitization partner at your side who masters innovative AI technologies and has comprehensive integration know-how. Together with you, we identify the test processes that benefit most from the use of AI and ensure a smooth integration of suitable AI solutions into your application landscape.
Contact us today! Find out how you can optimize your test management through the use of AI and optimally prepare your company for the future challenges in the job market.
