The phrase "analysis verification" is correct and usable in written English.
It can be used in contexts where you are discussing the process of confirming or validating the results of an analysis.
Example: "Before finalizing the report, we need to conduct a thorough analysis verification to ensure the accuracy of our findings."
Alternatives: "data validation" or "result confirmation".
Model generation and minimal model generation is useful for fault analysis, verification of systems and validation of data models.
The need for measuring multidirectional responses is becoming increasingly important in applications such as modal analysis, verification of dynamic models, etc.
The role of journalists in this new world is to add value to the conversation by providing reporting, context, analysis, verification and debunking, and by making available tools and platforms that allow people to participate.
Furthermore, when using CFD for nuclear safety demonstration purposes, EDF applies a methodology based on physical analysis, verification, validation and application to industrial scale (V&V), to demonstrate the quality of, and the confidence in results obtained.
The verification method is started by looking at the requirements analysis, verification of the outputs of the design by develop software testing to verify the reliability of the code which is to support the FPGA-based ESF-CCS.
High-level modelling languages and standards, such as Simulink, UML, SysML, MARTE and AADL (Architecture Analysis & Design Language), meet increasing adoption in the design of embedded systems in order to carry out system-level analysis, verification and validation (V&V) and architecture exploration, as early as possible.
Great advances have been made in techniques for high-throughput epitope validation [ 13, 14], but as computational methods grow ever more powerful, so does the need for post-analysis verification of results.
Analysis and verification of results use both reconstructed sample space maps and detector space intensity patterns.
Until 1999 he was a member of the Computer Systems Laboratory, Stanford University and directed the Program Analysis and Verification Project.
