Human Resource Assessment in Software Projects the SPRINT SMEs Approach

Proper assignment of available human resources to software development tasks is a key issue in order to achieve successful results in a software development project. In this paper we present a fuzzy linguistic approach that utilizes fuzzy linguistic terms to support the selection of suitable human resources based on their skills and required skills from each project task. The approach follows a group, multi-criteria, similarity degree-based aggregation algorithm and results in an objective assessment of the ratings of required task related skills and provided skills from the candidate human resources. The approach also considers possible skill relationships to reflect the contribution of one skill to the learning of other skills. The approach has been implemented in the context of SPRINT SMEs project that takes place in ARCHIMEDES III research program. Keywords—software project management; human resource evaluation; 2-tuple fuzzy linguistic model; similarity-degree based aggregation