Disrupting the Economics of Software Testing Through AI
Abstract: As the ability to accelerate the delivery of customer value through innovation, and at lower cost, has become today’s critical source for achieving competitive advantages, traditional software testing practices can no longer scale to meet business demands. Test automation frameworks typically rely on a jungle of test scripts written in different languages, using different sets of runtime parameters, and lacking consistent compliance testing capabilities. This forces the organization into the unfortunate choice of adding cost or risk to their agile development processes. They can either hire additional staff and increase test infrastructure to cope with the increasing test overhead, or they can accept the added risk that originates from incomplete testing practices. |
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