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Test Design Optimisation
In Technology
The process of quality assurance and testing consists of test cases that are based on requirements or user stories. To achieve the required level of coverage a certain number of tests must be executed, but these test suites typically contain redundancy.
Traditional approaches to testing have proven to be inefficient, time-wasting and extend deployment timelines. Where quality at speed is a key driver behind digital transformation, this is unacceptable. It is not a secret that due to resource and time constraints, test creation and execution are usually squeezed, resulting in the validation of test coverage becoming questionable.
Traditional approaches add further risk to projects where defects are found in production. The impact of a server production defect can be catastrophic. How should organisations change their approach? What are the practical solutions to address these challenges? EY recommend Test Design Optimisation through pairwise techniques.
How EY can help
The benefits of implementation of test design optimisation are:
- Significant (up to 50%) testing costs reduction
- Increased number of defects found earlier in the lifecycle
- Targeted test coverage with clear visual representation for both business and technical teams
- Automatic design of high-quality ‘multiple strike’ test cases
- Optimisation of test case volumes
- Re-focus Regression Testing and Test Automation to be risk-driven