%0 Conference Proceedings
%T A Multi-objective Genetic Algorithm for Software Development Team Staffing Based on Personality Types
%+ Department of Computer Science
%+ Department of Computer Engineering and Informatics [Cyprus]
%A Stylianou, Constantinos
%A Andreou, Andreas, S.
%Z Part 2: Optimization-Genetic Algorithms
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 8th International Conference on Artificial Intelligence Applications and Innovations (AIAI)
%C Halkidiki, Greece
%Y Lazaros Iliadis
%Y Ilias Maglogiannis
%Y Harris Papadopoulos
%I Springer
%3 Artificial Intelligence Applications and Innovations
%V AICT-381
%N Part I
%P 37-47
%8 2012-09-27
%D 2012
%R 10.1007/978-3-642-33409-2_5
%K Software Project Management
%K Team Staffing
%K Genetic Algorithms
%K Personality Type Matching
%K Five-Factor Model
%Z Computer Science [cs]Conference papers
%X This paper proposes a multi-objective genetic algorithm for software project team staffing that focuses on optimizing human resource usage based on technical skills and personality traits of software developers. Human factors are recognized as critical aspects affecting the rate of success of software projects, as well as other properties, such as productivity, software quality, performance, and job satisfaction. However, managers often rely solely on technical criteria to staff their projects, which risks overlooking these important aspects of software development, such as the abilities and work styles of developers. The behaviour and scalability of the algorithm was validated against a series of hypothetical projects of varying size and complexity, and also through a real-world project of an SME in the local IT industry. The approach demonstrated a sufficient ability to generate both feasible and optimal staffing solutions by assigning developers most technically competent and suited personality-wise for each project task.
%G English
%2 https://inria.hal.science/hal-01521403/document
%2 https://inria.hal.science/hal-01521403/file/978-3-642-33409-2_5_Chapter.pdf
%L hal-01521403
%U https://inria.hal.science/hal-01521403
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC12
%~ IFIP-AIAI
%~ IFIP-WG12-5
%~ IFIP-AICT-381