Skill assessment in software projects by grey possibility degree Online publication date: Sat, 26-Jul-2014
by Abdel Ejnioui; Luis Daniel Otero; Carlos E. Otero
International Journal of Computational Systems Engineering (IJCSYSE), Vol. 1, No. 3, 2013
Abstract: It is well known that the development of large software systems can be very challenging. Research shows that inadequate planning and management of human resources can sometimes lead to catastrophic failures in building these systems. Careful planning requires the consideration of the relationships between skills developed by engineers considered for these systems and those required in building high-quality software systems. However, there is a noticeable absence of reliable methodologies for assessing these relationships. This paper presents a method that evaluates skill relationships based on a set of task and resource specific skill parameters. These parameters are used as measures in a multi-attribute decision problem to evaluate the skills of each engineer candidate. The problem is solved by using the concept of possibility degree for ranking two grey numbers in grey systems theory. A case study is presented to show how this method can be applied in these problems.
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