Gartner defines AI-augmented software testing tools as tools that provide fully integrated and orchestrated capabilities to enable continuous, self-optimizing and highly autonomous testing in the software development life cycle (SDLC) through the use of AI. Capabilities include the generation and maintenance of test scenarios, test cases, test automation, test suite optimization, test prioritization, test analysis, and test value scoring. As part of the larger toolset for AI-augmented development that aids software engineers in designing, coding and testing applications, AI-augmented software testing tools integrate with AI code assistants, chat interfaces, DevOps platforms, planning and deployment tools. They are delivered primarily as cloud-hosted services with some options for on-premises deployment. AI-augmented software testing tools are designed to simplify and accelerate the creation, maintenance and management of test artifacts throughout the SDLC. They help software engineering teams to increase the efficiency, effectiveness and fidelity of tests by reducing human intervention. Teams can build confidence in the quality of their release candidates and support software engineering leaders in making informed decisions regarding product releases.
Application Development refers to products and services that support the design, creation, deployment, and maintenance of software applications across web, mobile, desktop, and cloud environments. This category includes markets that support organizations to build scalable, secure, and user-centric applications while evolving through agile methodologies, automation, modern development practices, and continuous integration and delivery.
Mobile testing services are different from traditional application testing with additional complexity, such as the testing of multiplatform, networks, multiple operating systems (OSs) as well as different devices. These services are needed to test the function, performance, compatibility and other details of a mobile application, using both manual and automated tests. While the testing this market refers to is that of applications residing on mobile handheld devices, the testing must also take into account the data being gathered or supplied to embedded devices and sensors with the Internet of Things (IoT) becoming more prominent. User experience is key in mobility by creating unique requirements for the testing process. With digital business and customer experience, applications and data are increasingly available and visible to external constituents — especially customers. Thus, quality, reliability, security, and adaptability needed for external use of systems are far beyond internal usage.