Intelligent Support in Hiring Staff for Design Documentation Control

Intelligent technologies are used in recruitment for the purpose of accelerating its procedure and hiring the most suitable for the vacant position and qualified staff. Despite extensive research in the field of applying artificial intelligence, data and text mining in recruitment, the issue related to the need of taking into account specifics of a job, for which a person is employed, has not been discussed yet. There are jobs for which using resumes, questionnaires, interviews or standard qualified tests as the basis for recruitment is insufficient. In manufacturing companies there is a number of positions whose responsibility is the design documentation control. The incumbents of these posts must not only have knowledge about how to develop the documentation in a particular aspect correctly, but also must be able to identify errors in it and formulate clear and focused remarks for designers. The paper offers an approach to intelligent support and system in hiring staff for the design documentation control, which are based on the combined use of rubric and text mining in assessing the professional skills of candidates. The proposed solution was tested for the possibility of its application in evaluating the professional skills of candidates on the example of the software design documentation.