ABS-MindBurnout source code for simulating the effects of mindfulness-based interventions on job burnout with an agent-based approach

The agent-based simulator ABS-MindBurnout allows users to simulate the effects of mindfulness-based interventions on job burnout. This dataset contains its source so that experiments can be replicated, and developers of health and well-being applications can reuse some of its components. This simulator includes an easy-to-use graphical interface that allows users to define new mindfulness-based interventions and simulate them. It is worth mentioning that the source code of this simulator is the one of the earliest precursors of FAMAP (a Framework for Developing m-Health Apps). For instance, this app implements the presentation of starplots, which is one of the most relevant visualization components of FAMAP. ABS-MindBurnout has been developed using PEABS (a Process for developing Efficient Agent-Based Simulators). The stochastic agent decisions have been simulated with the recommendations of TABSAOND (a Technique for developing Agent-Based Simulation Apps and Online tools with Nondeterministic Decisions). This dataset is referenced by a manuscript that is planned to be immediately submitted to a scientific journal for its evaluation. When other researchers use this software or any of its components, they can credit the work of the authors by citing any of the related articles indicated below or the article about ABS-MindBurnout if this is published by then. Related references: García-Magariño, I., Gonzalez Bedia, M., & Palacios-Navarro, P. (2018). FAMAP: A Framework for Developing m-Health Apps. In WorldCIST'18 2018: Trends and Advances in Information Systems and Technologies, vol. 745 of Advances in Intelligent Systems and Computing (pp. 850-859). Springer International Publishing. García-Magariño, I., Palacios-Navarro, G., Lacuesta, R. (2017). TABSAOND: A technique for developing agent-based simulation apps and online tools with nondeterministic decisions. Simulation Modelling Practice and Theory, 77, 84-107. García-Magariño, I., Gómez-Rodríguez, A., González-Moreno, J. C., Palacios-Navarro, G. (2015). PEABS: a Process for developing Efficient Agent-Based Simulators. Engineering Applications of Artificial Intelligence, 46, 104-112.