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.
“Application testing services” is a comprehensive term for the verification and validation services that support quality control and quality assurance (QA) of clients’ applications. Verification assesses whether a product/application or service complies with regulations, requirements, specifications or enforced constraints. Validation typically involves engagement with external customers to confirm suitability and acceptance. Infrastructure testing services, mobile device testing and software testing tools created for the market by independent software vendors (ISVs) are not included in this definition.
DCO/HIMS is composed of the following Data center outsourcing services: Managed services for traditional data center (DC) environments: Mainframe managed services ERP hosting managed services Managed servers and network equipment Managed services for hosted and private cloud infrastructure Managed services for public cloud and edge environments: Hybrid infrastructure managed services Data center consolidation and transformation services Cloud migration services This complex set of data center capabilities and services is increasingly based on managed virtual private cloud services plus hyperscale public cloud services. It is managed via a mix of remote infrastructure management (RIM) services leveraging traditional tools, cloud management platforms (CMPs), and intelligent automation and/or hyperautomation.
Gartner defines the student information system (SIS) as the core system of record for higher education institutions that serves as the central hub for storing, organizing and processing student academic and administrative activities. The SIS supports student, faculty and staff-facing functionality, including management of information assets, while also supporting back-end administrative functionality. Current market offerings vary in size, scope, regionalization, functional capability and delivery options. Serving the students, faculty and administrative staff, the SIS provides a chronology of individual business transactions, academic activity, advising interactions and educational outcomes. Additionally, it manages vital student assets, including course offerings, course catalogs, course registrations, financial aid, grades and transcripts throughout the student life cycle. Offerings can range from individual components to enterprise wide integrated solutions, or they may be part of a larger administrative ERP application suite.