AI-augmented, software-testing tools provide capabilities for advanced, self-optimizing and adaptive automated testing through the use of AI technologies, such as machine learning (ML), self-healing heuristics or computer vision. They assist humans in their testing efforts and reduce the need for human intervention in the following areas: Test case and test data generation Test suite optimization and coverage detection Test efficacy and robustness Test analysis and defect prediction Test effort estimation and decision making AI-augmented testing tools streamline, accelerate and improve the test workflow, as models can be retrained based on the data collected from the activities they perform — thereby enhancing human productivity.
Gartner defines the application programming interface (API) management market as the market for software that supports API life cycle stages such as planning and design, implementation and testing, deployment and operation, and versioning and retirement. Organizations use APIs to modernize their architectures; efficiently integrate systems, services and partners; and create and monetize data and services. API management software enables organizations to discover, design, build, manage and secure APIs, regardless of their size, region or industry. It helps them improve composability, security and business resilience, and accelerate their growth.
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.