Gartner defines AI-augmented software testing tools as enablers of continuous, self-optimizing and adaptive automated testing through the use of AI technologies. The capabilities run the gamut of the testing life cycle including test scenario and test case generation, test automation generation, test suite optimization and prioritization, test analysis and defect prediction as well as test effort estimation and decision making. These tools help software engineering teams to increase test coverage, test efficacy and robustness. They assist humans in their testing efforts and reduce the need for human intervention in the different phases of testing.
Gartner defines the service orchestration and automation platform (SOAP) market as encompassing solutions that empower organizations to manage and automate their entire technology stack, including workloads, workflows, resource provisioning and data pipelines. SOAPs empower infrastructure and operations (I&O) leaders to streamline and accelerate the delivery of business services. These platforms integrate workflow orchestration, workload automation and resource provisioning across an organization’s hybrid IT landscape. By automating and optimizing these processes, SOAPs enable organizations to rapidly deploy workloads, enhance operational efficiency and achieve significant cost savings while ensuring high availability and business continuity. SOAPs enhance traditional workload automation by supporting use cases in data pipelines, cloud-native infrastructures and application architectures. They complement and integrate with DevOps toolchains, enabling organizations to achieve customer-centric agility, reduce costs, improve operational efficiency and establish standardized processes across their entire IT landscape.