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 application programming interface (API) management market as the market for software to manage, govern and secure APIs. Organizations use APIs to modernize their architectures; APIs provide access to systems, services, partners and data services. API management software enables organizations to plan, deploy, secure, operate, version control and retire APIs, regardless of their size, region or industry.
Reviews for 'Application Development, Integration and Management - Others'
Load Testing Tools determine the performance of a system, software product, or software application under real-life based load conditions and resource utilization levels. The goal of load testing is to improve performance bottlenecks and to ensure stability and smooth functioning of software application before deployment. Through specialized testing software,various scenarios are simulated to test the system’s behavior under different load conditions. The software places a simulated “load” or demand from multiple sources on applications to ensure it remains stable during operation and peak load. It enables test analysts to evaluate application performance and maximize the operating capacity of the application.