2 research outputs found

    Agile performance indicators for team performance evaluation in a corporate environment

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    Software development is a must for almost all industries including services, production, health and even construction. Being so widespread, software development industry needs metrics for especially two reasons; performance evaluation of development teams and continuous improvement. Moreover, use of metrics and measurements provides the ability to understand the problems and waste in the value stream so that they can be eliminated. This paper proposes a model of metrics -to be called as Agile Performance Indicators- which is also being developed and tested in the largest Digital Operator in Turkey

    Simulation based resource optimization using a decision tree clearing function

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    This study presents a novel approach to resource allocation in software development teams working with Kanban. The simulation algorithm created in this study takes three types of resources, three types of work, resource capabilities, and a blocking mechanism different from the classic machine breakdown scenario. The data generated by the simulations are used to train a decision tree regression which is integrated into an optimization model as a clearing function. In numerical analysis, the research compares the decision tree clearing function to a straightforward two-step model that only takes the best of the simulation data and finds a resource allocation and a greedy heuristic algorithm which starts from an initial feasible solution and improves it step-by-step. Findings show that the developed decision tree clearing function model outperforms the other two benchmark models in mid and high amounts of data.Publisher versio
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