Intelligent Software Project Scheduling and Team Staffing with Genetic Algorithms

Abstract : Software development organisations are under heavy pressure to complete projects on time, within budget and with the appropriate level of quality, and many questions are asked when a project fails to meet any or all of these requirements. Over the years, much research effort has been spent to find ways to mitigate these failures, the reasons of which come from both within and outside the organisation’s control. One possible risk of failure lies in human resource management and, since humans are the main asset of software organisations, getting the right team to do the job is critical. This paper proposes a procedure for software project managers to support their project scheduling and team staffing activities – two areas where human resources directly impact software development projects and management decisions – by adopting a genetic algorithm approach as an optimisation technique to help solve software project scheduling and team staffing problems.
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Lazaros Iliadis; Ilias Maglogiannis; Harris Papadopoulos. 12th Engineering Applications of Neural Networks (EANN 2011) and 7th Artificial Intelligence Applications and Innovations (AIAI), Sep 2011, Corfu, Greece. Springer, IFIP Advances in Information and Communication Technology, AICT-364 (Part II), pp.169-178, 2011, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-642-23960-1_21〉
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Constantinos Stylianou, Andreas Andreou. Intelligent Software Project Scheduling and Team Staffing with Genetic Algorithms. Lazaros Iliadis; Ilias Maglogiannis; Harris Papadopoulos. 12th Engineering Applications of Neural Networks (EANN 2011) and 7th Artificial Intelligence Applications and Innovations (AIAI), Sep 2011, Corfu, Greece. Springer, IFIP Advances in Information and Communication Technology, AICT-364 (Part II), pp.169-178, 2011, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-642-23960-1_21〉. 〈hal-01571466〉

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