A fuzzy linguistic approach for human resource evaluation and selection in software projects

Gerogiannis, Vassilis C.; Rapti, Elli; Karageorgos, Anthony; Fitsilis, Panos

doi:10.1109/ieom.2015.7093709

Cited by 10 publications

(14 citation statements)

References 22 publications

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“…Since technical skills/competencies in software development are not often independent of each other (i.e., prior knowledge in various skills can contribute to learning of other skills) [2], an important contribution of the suggested approach is that it also emphasizes deriving objective assessments of developers matching skills by considering possible skill relationships and dependencies. The approach presented in this paper is an extension and followup of our previous work in human resource evaluation and selection as presented in [9,10]. Compared to these previous works, in this paper, a more detailed description of the approach is given along with an extended literature review and a presentation of case study with analytical calculations showing the approach applicability.…”

Section: Introductionmentioning

confidence: 99%

“…To derive an objective evaluation for these evaluations, the similarity degree value between any two project managers' evaluations is calculated using formula (7). The importance weights are calculated according to (10), using the average and relative similarity degree, as computed by (8) and (9), respectively. Then, a final aggregated rating FR for each resource ( = 1, 2, .…”

Section: Average and Relative Similarity Degree Calculationmentioning

confidence: 99%

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On Using Fuzzy Linguistic 2-Tuples for the Evaluation of Human Resource Suitability in Software Development Tasks

Gerogiannis

Rapti

Karageorgos

et al. 2015

Advances in Software Engineering

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Efficient allocation of human resources to the development tasks comprising a software project is a key challenge in software project management. To address this critical issue, a systematic human resource evaluation and selection approach can be proven helpful. In this paper, a fuzzy linguistic approach is introduced to evaluate the suitability of candidate human resources (software developers) considering their technical skills (i.e., provided skills) and the technical skills required to perform a software development task (i.e., task-related skills). The proposed approach is based on qualitative evaluations which are derived in the form of fuzzy linguistic 2-tuples from a group of decision makers (project managers). The approach applies a group/similarity degree-based aggregation technique to obtain an objective aggregation of the ratings of task-related skills and provided skills. To further analyse the suitability of each candidate developer, possible skill relationships are considered, which reflect the contribution of provided skills to the capability of learning other skills. The applicability of the approach is demonstrated and discussed through an exemplar case study scenario.

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Section: Introductionmentioning

confidence: 99%

Section: Average and Relative Similarity Degree Calculationmentioning

confidence: 99%

On Using Fuzzy Linguistic 2-Tuples for the Evaluation of Human Resource Suitability in Software Development Tasks

Gerogiannis

Rapti

Karageorgos

et al. 2015

Advances in Software Engineering

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“…In particular, we assume that the involved project managers have assessed the candidate human resources according to three ( ) required development skills, which are knowledge in SQL, Java and C programming. Table 1 shows the results of applying the assessment method introduced in [10], where final (aggregated) assessments take values in the interval , where 0 denotes "very low" and 5 denotes "absolutely high" level of the corresponding skill, respectively. We finally assume that there are two development tasks ( ), and which have been also evaluated by the involved project managers (i.e., by applying again the assessment method introduced in [10]) on the skill level required for their respective activities.…”

Section: Exemplar Application Scenariomentioning

confidence: 99%

“…1. We also assume that these human resources have been evaluated by following the group-based assessment introduced in [10]. In particular, we assume that the involved project managers have assessed the candidate human resources according to three ( ) required development skills, which are knowledge in SQL, Java and C programming.…”

Section: Exemplar Application Scenariomentioning

confidence: 99%

“…We assume that the level of skills required by task activities and the level of skills possessed by available human resources are subjectively evaluated by the involved project managers. To achieve an, as much as possible, objective evaluation of knowledge and skills, we can apply a group-based decision method, such as the one we recently introduced in [10]. This method follows a similarity degree-based aggregation technique to derive an objective and aggregated assessment (on behalf of all involved project managers) for provided/required skills/competencies.…”

Section: Human Resource Allocation Recommendation Algorithmmentioning

confidence: 99%

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Resource Allocation in Software Projects Using a Bio-inspired Model

Karageorgos¹,

Rapti²,

Gerogiannis³

2015

JSW

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This paper introduces a model for supporting human resource allocation decisions in software development projects. The model's underlying allocation method is based on an extension of the bio-inspired response threshold model and takes into account various aspects of the human resource allocation problem, such as the skills of available human resources, activity-related skill requirements as well as social ties/relationships among involved human resources. The model is demonstrated using an exemplar case problem concerning human resource allocation to a set of software development tasks.

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Software Project Team Selection Based on Enterprise Social Networks

Fitsilis

Gerogiannis

Ανθόπουλος

2015

Lecture Notes in Electrical Engineering

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Abstract. Project management is a well understood management method, widely adopted today, in order to give predictable results to complex problems. It is based on the assumption that unique undertakings require flexible organizational structures and different skill sets, in order to be implemented successfully. It is evident that matching the required, by each project, skills with the skills offered from the available human capital, is not a trivial process. This need of building high performing, effective teams with the appropriate skill set, is quite important since it is a prerequisite for successful project completion. Furthermore the recent shift to agile project management, together with the fact that projects today do not only require technical skills but also behavioral and contextual skills increases the importance of project team selection. In this paper, we present the ONSOCIAL system, a system that attempts to capitalize knowledge accumulated over social networks and to support the project team selection process. For achieving this objective, the ONSOCIAL system is using information stored in social network systems, analyses the stored profiles and offers recommendations for candidate team members.

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A fuzzy linguistic approach for human resource evaluation and selection in software projects

Cited by 10 publications

References 22 publications

On Using Fuzzy Linguistic 2-Tuples for the Evaluation of Human Resource Suitability in Software Development Tasks

On Using Fuzzy Linguistic 2-Tuples for the Evaluation of Human Resource Suitability in Software Development Tasks

Resource Allocation in Software Projects Using a Bio-inspired Model

Software Project Team Selection Based on Enterprise Social Networks

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