Sentence examples for identification of concern from inspiring English sources

In the "Methods" section, the proposed approach for identification of concern by means of KDM and our tool are presented.

The first part of the process finalizes with the identification of concern seeds by using Derby DB along with the concern library (an XML file generated by our tool).

The concept of keywords is an important resource for the identification of concerns from the requirements document.

This is possible due to the other types of resources and mechanisms proposed by ObasCId, such as the identification of concerns based on the interdependence among software requirements.

The identification of concerns and objectives is best accomplished by asking all relevant stakeholder groups to share their values and criteria for judging different options (reflective discourse).

Specifically, partnering safeguarding organisations with team physicians and field-of-play healthcare professionals will enable closer surveillance and identification of concerning injury patterns or evidence of violence (acts of either omission or commission) and more effective management of allegations.

Besides the name of the concern, the part of the description of the requirement that allowed the identification of this concern is presented.

CUSP consists of 8 steps; assessment of safety culture; sciences of safety education; staff identification of safety concerns; senior executives adopt a unit; improvements implemented from safety concerns; efforts documented and analyzed; results shared; and culture reassessed.

They included more staff training, stronger recruitment, better staff supervision and appraisal, mandatory reporting, escalation protocols and new technology for early identification of potential concerns.

Risk analyses should be continually conducted as part of the project design to avoid the identification of major concerns by the later reviews.

By using the approach herein presented, it was possible to conclude the following: (i) it is possible to automate the identification of crosscutting concerns in KDM models and (ii) the results are similar or equal to other approaches.