Sentence examples for generating validation from inspiring English sources

This study presents a systematic and objective method of generating validation test cases from a Safety Analysis Report (SAR).

A domain-specific ontology was designed and used to mark up a SAR; relevant information was then extracted from the marked-up document for use in automatically generating validation test cases that satisfy the proposed test coverage criteria; namely, single parameter coverage, use case coverage, abnormal condition coverage, and scenario coverage.

The freely available open source implementation that is part of the CDK can be consulted for guidance, and used to generate validation examples, to ensure that the results are identical.

Unlike current model-based testing methods, which are generally based on requirements or design models, the proposed model is derived from the original user's needs in text through domain-specific ontology, and then used to generate validation tests systematically.

As a result of the growing proliferation of online chemistry databases we believe that there is a growing need to develop an open and free platform that could intake chemical records and generate validation messages in a categorized and concise manner such that data submitters could review the data according to this validation process.

The team also generated validation rules to ensure accurate entry of records into the system.

The two gene set files were tested on both the original training dataset and a newly generated validation dataset.

To confirm the putative novel cell cycle regulators that we identified and to determine the rate at which they may be due to off-target effects, we generated validation dsRNAs for 256 genes.

I hope that the information presented in this edition may be useful to generate validation studies, develop trustworthy analytical platforms, launch new lines of research towards personalized medicine studies in order to approximate scientific studies to solutions clinically applicable, or yet to approximate the bench to the bedside.

Our model generator is also capable of generating a validation code, which checks if the base element names inserted into the reuse model are valid.

Based upon pruning, a one-pass approach is developed for generating the validation error versus network size curve.