Development of the ontological model of situation management of projects based on SCRUM under risky conditions
DOI:
https://doi.org/10.15587/1729-4061.2023.292526Keywords:
situation model, situational management, ontological model, risk conditions, flexible methodologies, ScrumAbstract
Projects in the field of information technology implemented on the basis of Scrum are quite often carried out under the influence of sharply changing circumstances both in the project itself and in the environment, which are characterized as risky. Therefore, the processes related to the situational project management, which is the object of this study, become important. For projects, it is necessary not only to identify the current situation but also to formally present it in order to evaluate and determine rational ways of achieving project goals under risky conditions, which is the task of this study.
Crisis situations in projects that arise under risky conditions are quite difficult to predict and take appropriate preventive measures in time. In difficult cases of establishing a cause-and-effect relationship between factors, we have unstructured data of various types and nature. Therefore, to solve this task, it is necessary to apply a combined approach, based on a complex combination of situational management methods, formalized, intelligent methods and expert methods, as well as ontological engineering. This will make it possible to build an adequate decision-making model under risky conditions, taking into account the influence of external and internal environmental factors.
An ontological model of situational project management based on Scrum is proposed, which will ensure the interconnection and consistency of decisions in accordance with the situation under risky conditions. The proposed model of the situation provides a formalized description and assessment of the situation under risky conditions in real time. The result of the application of this model is an increase in the efficiency of projects due to compliance with time limits, reduction of overspending of resources, as well as adaptation to rapidly changing circumstances and adequate response
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Copyright (c) 2023 Tetiana Prokopenko, Yevhen Lanskykh, Valentyn Prokopenko, Oleksandr Pidkuiko, Yaroslav Tarasenko
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